980 Data Analyst jobs

About Us: Solirius Reply delivers technical consultancy and application delivery to our clients in order to solve real world problems and allow our clients to respond to an ever-changing technical landscape. We partner closely with our clients, embedding our consultants into their businesses in order to provide a bespoke service, allowing us to truly understand our clients' needs. It is this close collaboration with our clients that has enabled us to grow rapidly in recent years and will drive our ambitious future growth plans. We currently have over 250 consultants working with a variety of key clients from both the public and private sectors such as the Ministry of Justice, Department for Education, FCDOS, UEFA, International Olympic Committee and Mercedes Benz; with plans to increase our client base further in the near future. We operate as a flat organisation and believe in trusting and supporting our team to operate independently. We pride ourselves on being specialists at what we do, making the most of our consultants' expertise in their fields, to provide a best-in-class service to our clients. All our consultants have the opportunity to work on a range of different projects, providing a broad range of knowledge on which to develop their careers and progress in the direction they choose. About You: You are an early-career data professional with a strong interest in data architecture and platform design. You have a solid foundation in data engineering, data modelling, or analytics, and are looking to develop your skills in designing scalable, secure, and well-governed data solutions. You are analytical, detail-oriented, and eager to learn from experienced architects and engineers. You enjoy working in collaborative Agile teams and are comfortable engaging with both technical and non-technical stakeholders. You are motivated to develop your understanding of enterprise data architecture, governance, and cloud data platforms, and you align with Solirius Reply's values. The Role: We are looking for Junior Data Architects to support the delivery of high-quality data solutions across our public and private sector client projects. You will work alongside experienced Data Architects, Engineers, and delivery teams to help design and document data architectures that meet business and technical requirements. This role offers an excellent opportunity to develop hands-on experience in enterprise data environments while building a strong foundation in architectural best practices. You will contribute to the design of scalable data platforms, assist in translating business requirements into technical solutions, and support the implementation of secure and well-governed data architectures. You will also have opportunities to contribute to internal practice development, knowledge sharing, and continuous improvement initiatives. This role is ideal for someone looking to transition from data engineering, analytics, or solution delivery into a more architecture-focused career path. Requirements Key Responsibilities: Support the design of end-to-end data architectures under the guidance of senior architects. Assist in translating business and analytical requirements into scalable and secure data solutions. Contribute to conceptual, logical, and physical data models. Help define data flows, integration patterns, and metadata standards. Produce clear architecture documentation and diagrams using established standards and tooling. Support Agile delivery teams by contributing to solution design and technical discussions. Ensure data security, privacy, and governance considerations are incorporated into designs. Participate in architecture reviews and technical workshops. Contribute to data engineering and automation practices where required. Continuously develop knowledge of modern data technologies and architectural best practices. Key Experience: Experience in a data-related role (e.g. Data Engineer, BI Developer, Data Analyst, or similar). Exposure to designing or contributing to data platforms or data solutions. Understanding of data modelling concepts (conceptual, logical, and physical). Familiarity with cloud-based data environments (Azure, AWS, or GCP). Experience working in Agile delivery environments. Ability to communicate technical concepts clearly to a range of stakeholders. Understanding of data governance, data quality, and security fundamentals. Key Skills: Working knowledge of at least one cloud data platform (Azure, AWS, or GCP). Understanding of data warehousing and/or data lake concepts. Proficiency in SQL and familiarity with at least one programming language (e.g. Python, Scala, or Java). Basic understanding of ETL/ELT processes and data pipeline design. Awareness of modern integration approaches (APIs, event-driven architectures). Strong analytical and problem-solving skills. Clear written and verbal communication skills. Willingness to learn and develop architectural thinking and design capability. Benefits What We Offer: Competitive Salary 25 Days Annual Leave + Bank Holidays Flexibility to work from home 10 days allocated for development training per year Generous Discretionary Bonus Statutory & Contributory Pension Private Healthcare Cover Discounted Gym Membership Enhanced Parental Leave Paid Fertility Leave Cycle to Work and Electric Vehicle schemes Access to Employee Assistance Programme (EAP) Annual Away Days Monthly Company Socials Equality & Diversity: Solirius Reply is an equal opportunities employer. We are committed to creating a work environment that supports, celebrates, encourages and respects all individuals and in which all processes are based on merit, competence and business needs. We do not discriminate on the basis of race, religion, gender, sexuality, age, disability, ethnicity, marital status or any other protected characteristics. Should you require further assistance or require any reasonable adjustments be put in place to better support your application process, please do not hesitate to raise this with us.

Our Data Team in Northampton are looking for a new Junior Data Analyst to join them. We strive to deliver an outstanding service to our customers and clients and your role as Junior Data Analyst is key to this. Duties & Responsibilities Liaise with various areas of the business, to collate information and data sets to be able to produce and provide sustainability data to be able to report to the business and to our clients Support in where and when AIT's volume is efficiently allocated, by communicating with our customers and liaising with our different sites nationally. Work with our different site teams to understand any potential resource challenges ahead of time Monitor and report on delivery volume and performance withing the business. Support all areas of the business with any data or analysis requests along with any new reporting requirements they may need Provide daily reporting for clients Skills, Experience and Attributes Advanced knowledge of Microsoft Excel and PowerPoint is essential Experience using Power BI desired Previous experience of logistics OMS beneficial Ability to work independently and structure workload Proven communication skills Strong emphasis on attention to detail Adaptable and able to relate different sources of information Be able to tell a story from data sets#

Senior Data Engineer (GCP) Company: Arj Global Location: Manchester, UK Work Model: Hybrid - 80% Remote / 20% On-site (Client Site or Arj Global Office - Trafford) About the Role Arj Global is seeking a highly skilled Senior Data Engineer with over 8 years of experience in data engineering, including at least 3 years of hands on experience with Google Cloud Platform (GCP). The successful candidate will be responsible for designing, building, and optimizing scalable data solutions that support analytics, reporting, and business intelligence initiatives across multiple client engagements. This role requires strong technical expertise, leadership capabilities, and the ability to collaborate with cross functional teams in a hybrid working environment. Key Responsibilities Design, develop, and maintain scalable and reliable data pipelines and ETL/ELT processes. Build and optimize cloud based data platforms using GCP services. Develop data integration solutions for structured and unstructured data sources. Implement data quality, governance, security, and monitoring frameworks. Create and maintain data models to support analytics and reporting requirements. Work closely with business stakeholders, data analysts, architects, and developers to understand data needs and deliver solutions. Optimize performance, scalability, and cost efficiency of data platforms. Mentor junior and mid level data engineers and contribute to engineering best practices. Support data migration and modernization initiatives from on premise or legacy systems to cloud platforms. Participate in solution design, code reviews, and technical documentation. Required Experience & Skills Essential 8+ years of experience in Data Engineering, Data Warehousing, or related fields. 3+ years of hands on experience with Google Cloud Platform (GCP). Strong experience building data pipelines using: Google Cloud Dataflow BigQuery Cloud Storage Pub/Sub Cloud Composer (Apache Airflow) Dataproc Strong SQL development and query optimization skills. Experience with Python and/or Java for data engineering solutions. Experience designing and implementing ETL/ELT frameworks. Strong understanding of data modelling concepts (star schema, dimensional modelling, data vault, etc.). Experience working with large scale datasets and distributed processing frameworks. Knowledge of CI/CD practices and DevOps principles. Experience with Git based version control systems. Strong problem solving, analytical, and communication skills. Preferred Experience with Apache Spark. Experience with Terraform or Infrastructure as Code (IaC). Knowledge of data governance and data security best practices. Experience working in Agile/Scrum environments. GCP Professional Data Engineer certification. Exposure to multi cloud environments (AWS and/or Azure). Leadership & Soft Skills Ability to lead technical discussions and influence architectural decisions. Strong stakeholder management skills. Experience mentoring and coaching engineering teams. Excellent communication skills with both technical and non technical audiences. Ability to work independently in a hybrid environment. Education Bachelor's degree in Computer Science, Engineering, Information Systems, or a related field. Relevant cloud and data engineering certifications are highly desirable. Working Arrangement Location: Manchester, UK Remote Working: 80% On site Requirement: 20% (at client locations and/or Arj Global offices as required) Occasional travel may be required based on project needs. What We Offer Competitive salary and benefits package. Flexible hybrid working model. Opportunity to work on enterprise scale cloud and data transformation projects. Professional development and certification support. Collaborative and innovative working environment. Experience Required: 8+ years Data Engineering, including 3+ years GCP Seniority Level: Senior Data Engineer Employment Type: Full time, Permanent

AIT Home Delivery UK Limited in Northampton is seeking a Junior Data Analyst to support the Data Team. In this role, you will be key in delivering outstanding service by collating and reporting sustainability data. The ideal candidate will have advanced knowledge of Microsoft Excel and PowerPoint, and experience using Power BI is desirable. Responsibilities include monitoring delivery volume and ensuring efficient resource allocation.

Workday Data Analyst, Human Resources Department - 1 Mabledon Place, London 1 Mabledon Place, London, WC1H 9AX Up to £60,000 per annum DOE Job Title: Workday Data Analyst Department: Human Resources Location: 1 Mabledon Place, London, WC1H 9AX Contract /Hours: Fixed Term (4 Months), Full Time (40 hours per week) Salary range: Up to £60,000 per annum DOE About us Sonic Healthcare is an internationally renowned healthcare provider with a demonstrable track record of medical services across the world. Headquartered in Sydney, Australia, Sonic is an ASX Top 50 company that has grown to become one of the world's leading healthcare providers, specialising in pathology, radiology and primary care medical centres. We have operations in Australia, the USA, Germany, Belgium, Switzerland, the United Kingdom, Ireland and New Zealand. Sonic Healthcare UK encompasses the two main entities in the UK, The Doctors Laboratory (TDL) and Health Services Laboratories (HSL). HSL is a partnership between The Doctors Laboratory (TDL), Royal Free London NHS Foundation Trust and University College London Hospitals NHS Foundation Trust (UCLH). HSL was formed to provide pathology services to the NHS Trusts and has expanded further to provide services to other NHS Trusts. Over 3,500 staff work at Sonic Healthcare UK, primarily under the TDL or HSL banner. Our purpose is to deliver medically-led diagnostics, innovation, value and long-term investment to healthcare. With our core laboratory based at The Halo Building in London WC1H 9AX, we also have an expanding site in Manchester as well as smaller hospital-based laboratories across the country. We maintain rigorously high standards of quality, whilst also delivering efficiencies to healthcare through careful workforce planning, pioneering technology and significant investment in infrastructure and IT. About the role Sonic Healthcare is seeking an experienced Workday Data Analyst to play a key role in our Workday implementation programme. Reporting into the Head of HR Systems, this position will lead and support data migration and reporting activities throughout the project lifecycle. The successful candidate will bring strong expertise in data transformation, Workday reporting, and Enterprise Interface Builder (EIB). Post go-live, the role will focus on management information, reporting frameworks, and governance models to support data-driven decision-making across the business. Key Responsibilities Data Migration & Transformation Lead data extraction, transformation, and loading (ETL) activities for the Workday implementation. Extract, analyse, and validate data from legacy systems. Cleanse, transform, and reconcile data to ensure absolute accuracy and consistency. Define and implement robust data transformation rules. Support all migration cycles, including mock loads, testing, and final cutover. Workday Reporting & Administration Design, build, and maintain Workday reports and dashboards (Advanced, Matrix, and Composite). Develop complex calculated fields to support evolving business requirements. Establish and administer the Workday reporting framework, including governance and access controls. Act as Reporting Administrator, ensuring best practices, security adherence, and data integrity. Translate business needs into scalable, user-friendly reporting and analytical solutions. Build management dashboards and executive scorecards post go-live. Integrations & EIB Management Support overall Workday integrations, throughout Hypercare. Monitor integration performance and troubleshoot runtime issues. Maintain and optimise integration processes post-implementation. Key Skills & Experience Proven experience as a Workday Data Analyst within a fast-paced implementation environment. Strong expertise in data migration, ETL processes, and data transformation. Good working knowledge of SQL for data extraction, validation, and analysis. Hands on, deep expertise with Workday reporting tools: Advanced Reports Matrix Reports Composite Reports Complex Calculated Fields Experience managing Workday reporting administration, security, and governance frameworks. Strong proficiency with EIBs (Enterprise Interface Builders). Demonstrated experience building management dashboards and analytics scorecards. Excellent analytical, data validation, and reconciliation skills. Ability to work at pace and hit the ground running within a live project environment. Experience with broader Workday integrations (Core Connectors, Workday Studio). Functional exposure to Workday HCM, Payroll, or Learning modules. Experience across a full Workday implementation lifecycle (Plan through Deploy). Personal Attributes Versatile communicator who can operate effectively at different levels, seamlessly pivoting from technical discussions to strategic updates for senior leadership. Strong stakeholder management skills, with the ability to manage expectations, and translate complex data concepts into clear business insights. Ability to work independently, managing your own workload and driving deliverables forward with minimal supervision. Proactive, self starting mindset with a strong sense of ownership over tasks. Rigorous attention to detail, especially when handling large, complex datasets. Collaborative, flexible, and fiercely delivery oriented when working within a project team. Benefits Training and development opportunities - supporting professional development Annual salary review - salary and progression are aligned to our internal transparent pay structure (Progression Plus), supporting career development and structured annual salary reviews Discounted gym membership - we have a corporate gym membership scheme with Better Gyms Cash healthcare plan - cash back on a variety of healthcare costs including dentist and opticians Sick Pay Entitlement - one month's full pay and one month's half pay after probation Permanent Health Insurance and Death in Service Cover Life Assurance - providing salary continuation for long term illness (six months qualifying period) Employee Assistance Programme - supporting staff wellbeing Season Ticket Loan Scheme - interest free loan for the cost of annual travel ticket Perkbox - Access to additional staff perks and benefits such as high street discounts Company Pension Scheme - company and staff contributions which increase with service Competitive annual leave allowance - 24 days. Flexible working hours - we support and offer flexibility around shift patterns and working schedule We respect and value the diversity of our staff and welcome applications from diverse communities.

United Cerebral Palsy of Georgia is seeking a Senior Data Analyst to join a Global Customer Success Data Science team. This role focuses on embedding Generative AI into core workflows to enhance the customer journey. The ideal candidate will have 8 years of experience in data analytics, with strong proficiency in SQL, Snowflake, and Python. Responsibilities include developing data pipelines and translating complex data into actionable insights for global strategies.

AMS are looking for multiple Junior Data Analysts for a 6 month contract based in Cardiff/Newcastle. Please note that this is a hybrid working model with expected travel to the Cardiff / Newcastle office. Successful candidates will attend a two-week mandatory training period in the Cardiff/Newcastle office. Purpose of the Role: As a Junior Data Analyst you will have the opportunity to be part of The Analytics Support Centre. The Analytics Support Centre is a Cardiff based delivery centre developed to support engagement teams worldwide with data extraction and upload into the custom Analytics platform. Analytics can enhance the quality and efficiency of an audit, as well as deliver meaningful insights to clients. The vision is for analytics to be used on all audits. The Analytics Support Centre supports the objective to differentiate from competitors and ensure the continued delivery of a high-quality, distinctive client experience. Responsibilities as a Junior Data Analyst; Serving as the first point of contact for engagement teams using the Analytics platform for troubleshooting or general functionality queries, providing assistance and guidance in its use. Supporting data acquisition and extraction from clients' accounting systems. Handling the manipulation and upload of complex data sets from various finance systems across multiple business areas and clients into the platform. Maintaining a high-level understanding of the system being supported and using Microsoft SQL to troubleshoot issues raised by the audit practice via the help desk system. Potentially developing and maintaining various bespoke projects outside the analytics platform on a client by client basis. Conducting data quality checks, which may need to be escalated to the audit practice or client as necessary. Assisting relevant teams in troubleshooting platform or bespoke solution issues. Candidate Requirements; A degree with a 2.2 or above, preferably in Computer Science, Mathematics, or a science-related field. Other qualifications will also be considered. Strong working knowledge of Excel (including formulae such as SUM, COUNT, IF, VLOOKUP, ISERROR). Enthusiasm and demonstrated problem solving and troubleshooting skills. Previous experience working with a structured programming language such as C#, VBA, C++, or SQL is highly beneficial. An understanding of basic accounting principles is beneficial but not required. Next Steps This client will only accept workers operating via an Umbrella or PAYE engagement model.

Arriva Limited is seeking a Senior Data Analyst to design and build robust reporting solutions, focusing on Power BI and data modelling. This role involves collaborating with the Business Performance team to translate data into actionable insights while driving improvement and automation. Key skills include advanced Excel capabilities, strong Power BI experience, and the ability to work effectively in evolving environments.

Aberdeen Corporate Services Limited in Edinburgh is seeking an Investment Data Analyst to enhance the quality of security and investment data within their public markets business. You will monitor data flows from custodians and vendors, ensuring accuracy and completeness. This role offers exposure to the investment data lifecycle and opportunities for career development. Key responsibilities include resolving data exceptions and supporting corporate actions processing. Benefits include 40 days annual leave and a 16% employer pension contribution.

Data Visualisation Analyst Data Visualisation Analyst Circa £47,200 + excellent benefits 12 month FTC Hybrid We have an opportunity for a Data Visualisation Analyst to join the Enterprise Data team and support the delivery of Management Information (MI) and Business Intelligence (BI) products to our business and customers. We'd like you to help us deliver best practice and centre of excellence for all our MI & BI activity. Your North Star will be customer focus and value driven delivery of quality data products. Location: Hybrid - expected to work from office in Thatcham at least two days per week. Key responsibilities Collaborate with Stakeholders: Work closely with stakeholders to understand their evolving requirements and ensure the data solutions meet their needs. Data Preparation: Assemble and refine datasets to provide maximum flexibility and support for various analytical needs. Data Visualization: Design and develop intuitive Power BI dashboards and reports that tell a compelling story from start to finish. User Experience Design: Create a seamless user experience that guides users through the data journey, making insights easily accessible and understandable. Continuous Improvement: Stay updated with the latest Power BI features and best practices to continuously enhance the storytelling experience. Training and Support: Provide training and support to users to ensure they can effectively interact with the dashboards and reports. Skills & experience Proven Experience: Demonstrated experience in Power BI development and data storytelling. Technical Skills: Proficiency in Power BI, DAX, SQL, and data modeling. Analytical Mindset: Strong analytical skills with the ability to translate complex data into actionable insights. Communication Skills: Excellent communication and interpersonal skills to work effectively with stakeholders. Creative Thinking: Ability to think creatively and design visually appealing and informative dashboards. Problem-Solving: Strong problem-solving skills and attention to detail. Additional skills we'd welcome Data Management experience including Data Modelling (3NF, Data Vault) Familiarity with Data Management principles (incl. data quality and governance) Understanding of ETL process and data warehousing concepts About you You're an experienced Data Analyst with a passion for visual communication and data storytelling, with a desire to learn, build and expand your skillset. You enjoy using statistical/mathematical methodologies to answer key questions with a focus on driving business performance, investigating and communicating areas for improvement, efficiency and productivity. Your practical experience and analytical mind set ensures you are comfortable handling complex, high-volume, high dimensional data whilst you enjoy maintaining an advanced knowledge of trends affecting the industry. If this sounds like you, we'd love to hear from you! Benefits Salaried - Circa £47,200 negotiable dependent on skills & experience. 10% non-contributory pension 29 days holiday (inclusive of Christmas shutdown) + public holidays Group Life Assurance (equal to 4 x basic salary) Group Income Protection (after 6 months' service) Salary Sacrifice schemes (cycle to work, home & tech scheme) Enhanced and competitive parental leave for all parents, regardless of gender or family structure Moneyhealth's Financial Coaching & Wellbeing Platform Health Cash Plan (cash back on eligible medical treatments) Benenden Health Care (opt in benefit) Reward & Recognition Programme Discounted gym membership Sports & Social club Payroll charitable giving Subsidised on-site restaurant Free on-site parking Requirements All applicants must have Right to Work in the UK.

£55,000.00 to £60,000.00 per year, £55000.00 - £60000.00 a year Contract Type: Permanent Hours: Full time Disability Confident: No Closing Date: 07/06/2026 About this job Location: Middlewich, Cheshire, 1 day per week Working from home: 4 days per week Reports to: Director of Operations, Screening Working with: Analytics Team, Programme Managers, Data Quality Teams, Customer Service Administrators and the Testing & Development Teams Make data matter in healthcare At InHealth, we deliver vital diagnostic and screening services on behalf of the NHS and the private sector. Every year, our services touch millions of patients, and behind every one of those journeys is data with the potential to improve outcomes, efficiency and experience. Were now looking for a Lead Data Analyst to play a pivotal role across two nationally important programmes, the Diabetic Eye Screening Programme (DESP) and Child Health Information Services (CHIS). This is a rare opportunity to shape how data is used in a growing healthcare organisation, moving from traditional reporting to modern, insight led, data driven decision making. The opportunity Today, valuable information exists across InHealth, but it can be difficult to access, time consuming to pull together, and often presented in static formats. We want to do better, for our teams, our customers and ultimately our patients. Youll lead the evolution of our analytics capability, working with a talented team who are skilled in SQL, Python and NHS datasets, and guiding them towards next generation approaches including cloud based data platforms, analytics products, dashboards and strong data governance. We are already investing in this journey, with contractors engaged to build a new cloud based reporting environment, supported by our in house Senior Developers and Data Engineers. Your role will be to turn that ambition into reality. What youll do First and foremost, youll ensure our existing services continue to run smoothly, delivering statutory reporting, operational insight and meeting regulator and customer requirements. Youll be supported by an experienced team who know the programmes inside out. From there, youll: Define and execute the data and analytics roadmap for DESP and CHIS Help transition InHealth towards data as a product, with scalable, trusted insights Lead the design and rollout of new analytics tools, reports and dashboards Champion data driven thinking across the organisation Balance long term vision with practical, incremental delivery Make a tangible difference to how decisions are made across healthcare services Your responsibilities You will lead the Data and Analytics function for DESP and CHIS, with accountability for: Strategy execution, shaping and delivering a modern analytics capability Product development, identifying, building and launching data products Operational management, ensuring timely, accurate management information and statutory reporting Leadership and communication, advocating for the effective use of data across InHealth People management, line managing and developing a team of three analysts Senior leadership, contributing as a trusted member of the wider management team What were looking for Youre someone who combines vision with credibility, able to inspire trust while delivering results. People describe you as someone who: Is passionate about improving patient outcomes through digital services Sees the big picture without losing sight of the detail Has strong knowledge of healthcare data and how to turn insight into action Understands NHS and private sector constraints and knows when to challenge them Gets the job done and earns trust through delivery Your experience and skills Essential: Extensive experience working in data, analytics or information services, with a strong track record of delivering insight in complex organisations Advanced knowledge of SQL, Python and Power BI or equivalent tools Strong experience with Microsoft Azure or similar cloud environments Solid understanding of databases, data models, data structures and data quality metrics Desirable experience: Leading data and analytics teams through periods of transformation Working with data as a product approaches Implementing data solutions across multiple organisations Digital healthcare experience, ideally within or alongside the NHS Jobs are provided by the Find a Job Service from the Department for Work and Pensions (DWP).

Limelight Health is seeking a Senior Data Analyst to lead strategic analysis and drive data-informed decision-making across marketing and product teams. The role involves translating complex data into actionable insights, building scalable analytics solutions, and partnering with senior stakeholders to measure performance. The ideal candidate should possess advanced SQL and BI tool experience, with excellent analytical capabilities and a passion for data storytelling. This position offers opportunities to drive significant business impact and enhance analytics practices.

Admiral Group Plc is seeking two Data Analysts to join our Customer Operations Data & Analytics team in Cardiff. This hands-on role focuses on coding and data modelling to derive actionable insights that enhance customer journeys. The ideal candidates will have strong SQL skills and experience in reporting and analytics, alongside a passion for improving processes. The role offers a hybrid work approach with two days in the office each week. Employees enjoy a generous leave package of 33 to 38 days and a culture that supports diversity and personal growth.

Overview We are looking for a Data Analyst to join our Commercial Finance Team based at our National Distribution Centre in Portbury, Bristol. You will enhance our data-driven decision making capabilities and support strategic initiatives within our warehousing and distribution operations. You'll be instrumental in leveraging data to provide actionable business insight. You will have a track record in pairing strong technical and analytical skills with excellent communication to engage and collaborate with key stakeholders to present insight and ultimately shape operational decisions. You'll ideally have experience in a warehousing, distribution or manufacturing setting. The ability to work with large datasets and creating impactful data visualisation is critical. This role is based on site at least 3 days per week. Due to the location, a driving licence and access to your own transport are essential. Responsibilities Analyse Produce actionable, accurate and timely reporting that enables the business to focus on key metrics to success Absorb current reporting that exists aiming to improve and streamline them Analyse operational data and performance metrics to identify trends, variances, and areas for improvement Provide actionable insights and recommendations based on data analysis to support strategic business initiatives Collaborate Develop effective working relationships with a wide range of teams across the business You'll work closely with the Warehouse & Distribution teams to understand emerging priorities and how you can support them with data Ability to provide independent and thoughtful challenge to operational teams Able to use data & visualisations to enable storytelling of data to explain the 'why' and not just the 'what' Qualifications/Personal Qualities Essential: Bachelor's degree in Finance, Data Analytics, Business Administration, or a related field. Proven experience in effective data analysis Advanced Excel user Strong proficiency in building and maintaining dashboards with tools such as Tableau, Power BI, or similar Solid understanding of financial principles and data analysis techniques. Excellent analytical and a methodical approach to data analysis Strong communication skills, with the ability to present complex data insights to non-technical stakeholders Attention to detail Highly inquisitive with a passion for problem solving Excellent organisational and time management skills Ability to work independently and as part of a team Desirable: Experience in the warehousing, distribution or manufacturing sectors Advanced degree or certification in data analytics or a related field Passion for understanding emerging AI trends Company Benefits Competitive salary - accredited Living Wage employer 25 days holiday per year, plus bank holidays Option to purchase up to 5 additional days holiday per year Discretionary annual bonus scheme Pension scheme - employer matched contributions up to 4% Life assurance scheme worth at least 1x annual salary Subsidised canteen Free parking Free turkey or voucher at Christmas Access to employee benefits including Perkbox with salary sacrifice options and retail discounts

Howden Group Services Limited is seeking a Senior People Analytics Analyst to lead the data side of their People Analytics function. You will work closely with HR-side analysts to translate requirements into data products and insights. Your role includes managing a team of data analysts, overseeing analytical products, and ensuring data quality and governance. Strong technical skills in SQL, Python, and Power BI are essential. A hybrid working model and flexibility in hours may be offered.

The Role Title: Senior Data Analyst Team: Analytics / Data Salary: Up to £90,000 Location: Remote UK We're looking for a commercially minded Senior Data Analyst to help Midnite make smarter decisions through insight, analysis, and stakeholder partnership. This role will sit at the centre of how we understand customer behaviour, retention, product performance, and commercial opportunity. You'll work closely with Growth, Product, Commercial, and Trading teams to turn ambiguous business questions into clear analytical frameworks and actionable recommendations that influence real business outcomes. You'll have the opportunity to shape how analytics supports decision-making across the business while helping us deepen our understanding of customer behaviour and lifecycle performance as we continue to scale. You will: Analyse customer behaviour, retention, churn, and lifecycle performance. Support CRM and growth initiatives through insight and analytical recommendations. Partner closely with Product, Commercial, and Trading stakeholders. Translate business questions into structured analytical approaches. Build reports, dashboards, and decision-support analysis. Identify trends, risks, and commercial opportunities through data. Support experimentation and performance measurement initiatives. Present analytical findings clearly to technical and non-technical audiences. Contribute proactively to improving analytical maturity across the business. The next Midniter: Has strong SQL and analytical problem-solving capability. Is commercially minded and customer focused. Can independently structure and communicate analysis clearly. Builds strong relationships with stakeholders across the business. Is comfortable operating in ambiguity and fast-moving environments. Understands retention, customer behaviour, and lifecycle analysis. Takes a pragmatic and outcome-oriented approach to problem-solving. Brings curiosity, adaptability, and strong collaboration skills. Winnings Private health insurance with zero excess, including optical cover and optional dental. Income protection to protect your earnings and give you peace of mind. Tenure holiday policy. After three years you receive an extra two days leave, increasing to 30 days annually after five years. Flexible working and a fully supported home office setup so you can do your best work from home. Nursery salary sacrifice scheme helping parents save thousands each year on nursery fees. Salary sacrifice schemes for tech and holidays so you can spread the cost of the things you want. Retail discounts and subscription perks across a wide range of brands. Quarterly team socials to connect, celebrate and have fun together. At Midnite, we're committed to creating equal opportunities for everyone. We actively strive to build balanced teams that reflect the diversity of our communities, including ethnic minorities, people with disabilities, the LGBTQIA+ community, and all genders. We aim to provide an inclusive and supportive interview experience for all candidates. If you require any reasonable adjustments, please let us know in advance so we can ensure you feel comfortable and set up for success.

Exclusive Networks Limited is seeking a Master Data Analyst in Greater London. This full-time role involves consolidating fragmented customer and vendor data across multiple ERPs and platforms, defining data standards, and leading master data governance initiatives. The ideal candidate will have 5-8 years of experience in master data management and strong analytical skills in SQL and Excel. Responsibilities include defining data quality metrics, maintaining data quality scorecards, and supporting data cleanup planning.

About You You are a motivated and adaptable professional with a strong analytical mindset and a passion for using technology to solve real-world problems. You enjoy working in collaborative, agile teams and take pride in delivering high-quality solutions that make a tangible impact. With strong communication skills and a consultative approach, you're comfortable engaging with clients, understanding their needs, and translating them into effective outcomes. You understand and align with Solirius Reply Values. The Role We are looking for an experienced Data Analyst to join our team here at Solirius. You will be working as part of a team, developing and delivering exciting projects with a fantastic team of technology experts. You will be a fundamental part of the team and will be an expert in your field/specialism. Requirements Key Responsibilities Develop data solutions for our clients/projects Diagnostics and Analysis for complex technical projects Working collaboratively with the client and understanding their requirements Working with a range of technical professionals to reach a desired outcome, including designing and delivering technical solutions. Key Skills/Experience Extensive experience of Data Analytics and Data Science with the ability to use BI tools like Power BI, Tableau etc. Extensive knowledge of Performance Analytics and tooling such as Google Analytics, Google Tag Manager, Amplitude etc. Experience in capturing requirements and Governance & Control documentation, knowledge of GDS is an added advantage Applied experience of metadata analysis, fields/entity, and data lineage, sql/ no sql databases Experience with one of Azure/AWS/GCP ETL tools like Informatica, Alteryx and Business Glossary tools like Collibra, Azure Purview or Apache Atlas. TDD/BDD, Experience working in an Agile development environment Identity management and synchronisation will be an add on for the resources Experience with Data Dictionaries, Business glossaries would be an advantage Benefits Package and Benefits Competitive Salary Bonus Scheme Private Healthcare Insurance 25 Days Annual Leave + Bank Holidays Up to 10 days allocated for development training per year Enhanced Parental Leave Paid Fertility Leave (5 Days) Statutory & Contributory Pension EAP with Gym Membership Benefits Flexible Working Annual Away Days/Company Socials Equality & Diversity Solirius Consulting is an equal opportunities employer. We are committed to creating a work environment that supports, celebrates, encourages, and respects all individuals and in which all processes are based on merit, competence and business needs. We do not discriminate on the basis of race, religion, gender, sexuality, age, disability, ethnicity, marital status or any other protected characteristics. Should you require further assistance or require any reasonable adjustments be put in place to better support your application process, please do not hesitate to raise this with us.

Compensation: GBP 115,000 - GBP 150,000 - yearly Company Description Wise is a global technology company, building the best way to move and manage the world's money. Min fees. Max ease. Full speed. Whether people and businesses are sending money to another country, spending abroad, or making and receiving international payments, Wise is on a mission to make their lives easier and save them money. As part of our team, you will be helping us create an entirely new network for the world's money. For everyone, everywhere. The Fraud team at Wise is dedicated to safeguarding our platform against financial crime and ensuring the protection of our legitimate customers. Leveraging cutting-edge machine learning, real-time transaction monitoring, and data analysis, our team is responsible for developing and enhancing fraud detection systems. Software engineers, data analysts, and data scientists collaborate on a daily basis to continuously improve our systems and provide support to our fraud investigation team. Our vision is: Build a globally scalable fraud prevention and detection engine to maintain Wise as a secure environment for our legitimate customers. Utilise machine learning techniques to identify potential risks associated with customer activity. Foster a strong partnership between our fraud investigators and the product team to develop solutions that leverage the expertise of fraud prevention specialists. Not only meet the requirements set by regulators and auditors but also surpass their expectations. We are looking for a highly skilled Staff Data Scientist to lead technical innovation and drive the development of advanced data science solutions. This role is pivotal in enhancing our fraud detection capabilities and ensuring the security of our platform. Here's how you'll be contributing: Innovate and Develop: Lead the development and deployment of machine learning models, including neural networks, anomaly detection, graph-based models, Transformers. Lead and Collaborate: Mentor team members and promote adoption of AI workflows for automation across the business. Collaborate with cross-functional teams to integrate data science solutions into Fraud prevention product offerings. Deploy and Integrate: Develop scalable deployment strategies together with Platform teams and integrate LLMs with AI agents for seamless production use. Optimise and Evaluate: Conduct large-scale training and hyper-parameter tuning, and define performance metrics to ensure high-quality model outputs. Data Strategy and Management: Design and implement strategies for data collection, curation, and augmentation to support robust model training. Documentation and Reporting: Communicate complex data findings to non-technical stakeholders effectively. Document the development and maintenance processes for models and features. Additional Information For everyone, everywhere. We're people building money without borders - without judgement or prejudice, too. We believe teams are strongest when they are diverse, equitable and inclusive. We're proud to have a truly international team, and we celebrate our differences. Inclusive teams help us live our values and make sure every Wiser feels respected, empowered to contribute towards our mission and able to progress in their careers. If you want to find out more about what it's like to work at Wise visitWise.Jobs .

About Us Solirius Reply delivers technical consultancy and application delivery to our clients in order to solve real world problems and allow our clients to respond to an ever changing technical landscape. We partner closely with our clients, embedding our consultants into their businesses in order to provide a bespoke service, allowing us to truly understand our clients' needs. It is this close collaboration with our clients that has enabled us to grow rapidly in recent years and will drive our ambitious future growth plans. We currently have over 250 consultants working with a variety of key clients from both the public and private sectors such as the Ministry of Justice, Department for Education, FCDOS, UEFA, International Olympic Committee and Mercedes Benz; with plans to increase our client base further in the near future. We operate as a flat organisation and believe in trusting and supporting our team to operate independently. We pride ourselves on being specialists at what we do, making the most of our consultants' expertise in their fields, to provide a best in class service to our clients. All our consultants have the opportunity to work on a range of different projects, providing a broad range of knowledge on which to develop their careers and progress in the direction they choose. About You You are an early career data professional with a strong interest in data architecture and platform design. You have a solid foundation in data engineering, data modelling, or analytics, and are looking to develop your skills in designing scalable, secure, and well governed data solutions. You are analytical, detail oriented, and eager to learn from experienced architects and engineers. You enjoy working in collaborative Agile teams and are comfortable engaging with both technical and non technical stakeholders. You are motivated to develop your understanding of enterprise data architecture, governance, and cloud data platforms, and you align with Solirius Reply's values. The Role We are looking for Junior Data Architects to support the delivery of high quality data solutions across our public and private sector client projects. You will work alongside experienced Data Architects, Engineers, and delivery teams to help design and document data architectures that meet business and technical requirements. This role offers an excellent opportunity to develop hands on experience in enterprise data environments while building a strong foundation in architectural best practices. You will contribute to the design of scalable data platforms, assist in translating business requirements into technical solutions, and support the implementation of secure and well governed data architectures. You will also have opportunities to contribute to internal practice development, knowledge sharing, and continuous improvement initiatives. This role is ideal for someone looking to transition from data engineering, analytics, or solution delivery into a more architecture focused career path. Key Responsibilities Support the design of end to end data architectures under the guidance of senior architects. Assist in translating business and analytical requirements into scalable and secure data solutions. Contribute to conceptual, logical, and physical data models. Help define data flows, integration patterns, and metadata standards. Produce clear architecture documentation and diagrams using established standards and tooling. Support Agile delivery teams by contributing to solution design and technical discussions. Ensure data security, privacy, and governance considerations are incorporated into designs. Participate in architecture reviews and technical workshops. Contribute to data engineering and automation practices where required. Continuously develop knowledge of modern data technologies and architectural best practices. Key Experience Experience in a data related role (e.g. Data Engineer, BI Developer, Data Analyst, or similar). Exposure to designing or contributing to data platforms or data solutions. Understanding of data modelling concepts (conceptual, logical, and physical). Familiarity with cloud based data environments (Azure, AWS, or GCP). Experience working in Agile delivery environments. Ability to communicate technical concepts clearly to a range of stakeholders. Understanding of data governance, data quality, and security fundamentals. Key Skills Working knowledge of at least one cloud data platform (Azure, AWS, or GCP). Understanding of data warehousing and/or data lake concepts. Proficiency in SQL and familiarity with at least one programming language (e.g. Python, Scala, or Java). Basic understanding of ETL/ELT processes and data pipeline design. Awareness of modern integration approaches (APIs, event driven architectures). Strong analytical and problem solving skills. Clear written and verbal communication skills. Willingness to learn and develop architectural thinking and design capability. What We Offer Competitive Salary 25 Days Annual Leave + Bank Holidays Flexibility to work from home 10 days allocated for development training per year Generous Discretionary Bonus Statutory & Contributory Pension Private Healthcare Cover Discounted Gym Membership Enhanced Parental Leave Paid Fertility Leave Cycle to Work and Electric Vehicle schemes Access to Employee Assistance Programme (EAP) Annual Away Days Monthly Company Socials Equality & Diversity Solirius Reply is an equal opportunities employer. We are committed to creating a work environment that supports, celebrates, encourages and respects all individuals and in which all processes are based on merit, competence and business needs. We do not discriminate on the basis of race, religion, gender, sexuality, age, disability, ethnicity, marital status or any other protected characteristics. Should you require further assistance or require any reasonable adjustments be put in place to better support your application process, please do not hesitate to raise this with us.

Data Analyst Contract up to 31/12/2026 Based in Filton Offering 50ph Inside IR35 Do you have experience with Jira or GitHub? Do you have experience with Palantir Foundry (Skywise) or Extended Platform (Jupyter)? Do you want to work with an industry-leading company? If your answer to these is yes, then this could be the role for you! As the Data Analyst, you will be working alongside a market-leading Defence and Aerospace company who are constantly growing and developing. They are always looking to bring on new talents such as yourself and further develop your skills to enable you to grow within the company and industry. Responsibilities Contribute to the development of the fleet diagnostic and predictive maintenance models Support technical investigations with aircraft fleet data analysis Perform specific data analyses for the Design Office, starting from gathering the need from the requestor, to assessing the feasibility, and delivering the study Use in-service data in order to: Improve in-service operations understanding Improve system design Support business on Data Management projects with analytics skill application Qualifications Jira Palantir Foundry (Skywise) Extended platform (Jupyter) Github Data Analytics & Data visualisation Good stakeholder management Skywise Predictive Maintenance (SPM) LG System understanding Understanding of Manage Fleet Diagnostic and Predictive Maintenance process (SU.CP.05) Previous experience in Predictive Maintenance and ZAOG plateau AI Machine Learning If this all sounds like something you will be interested in then simply apply and we can discuss the opportunity further!

HIVED Ltd is seeking a Staff Data Analyst based in London to drive impactful analytics in our Driver Squad. This role focuses on creating actionable insights from complex data, shaping data-driven decision-making. The ideal candidate will have 5+ years of experience in analytics, SQL and Python skills, and experience in managing other data professionals. You will work in a dynamic environment that emphasizes innovation and efficiency. The position offers a competitive salary, hybrid working opportunities, and various employee perks including medical insurance.

Job Title CASS Operations and Data Analyst (12 month Fixed Term Contract) Location & Salary £43,100 to £53,700 (National for Edinburgh and Leeds) and £47,300 to £59,000 (London) per annum, based on skills and experience. Department Resolution Strategy, Operations & CASS (ReSOC) within the Specialist Directorate. About the FCA and Team We regulate financial services firms in the UK to keep financial markets fair, thriving and effective. The ReSOC department leads the FCA's efforts to enhance client asset protection, boosting consumer protection and market integrity through risk assessment, data analysis and supervision of firms' compliance with the Client Assets Sourcebook. Role Responsibilities Act as the first line intake point for information and data received by ReSOC from firms, auditors and internal stakeholders. Apply a consistent, risk based approach to prioritise incoming correspondence and data, identify key themes and potential consumer harm indicators, and escalated within agreed timescales. Produce concise analysis and MI for stakeholders to support timely decision making and effective allocation of work across ReSOC and wider FCA teams, ensuring decisions are well informed and aligned to consumer protection goals. Develop deep knowledge of the CASS regime, enhancing your grasp of how firms protect client assets across the UK. Identify recurring issues, bottlenecks and avoidable rework; propose and implement process improvements such as templates, guidance, automation opportunities and standard operating procedures to improve efficiency and quality. Qualifications and Skills Prior experience of case management systems such as Salesforce and Tableau and related workflows. Prior experience of data analysis and reporting using large datasets. Demonstrable experience of using MS Excel to an intermediate level. Essential: Keen attention to detail and solid analytical skills, paired with an open, innovative mindset that encourages new ideas and collaborative problem solving. Ability to build positive relationships with key stakeholders, representing the department with confidence, warmth and credibility. Highly effective communication skills, using clear, audience focused reasoning to translate complex issues into concise messages for a wide range of audiences. Supportive organisational approach, able to balance multiple priorities, manage demanding timescales and create a steady, structured workflow for yourself and others. Experience reviewing processes and workflows, supported by well organised document management skills that help teams work smoothly and consistently. Benefits 25 days annual leave plus bank holidays. Non contributory pension (8-12% depending on age) and life assurance at eight times your salary. Private healthcare with Bupa, income protection and 24/7 Employee Assistance. 35 hours of paid volunteering annually. Hybrid model with a minimum of 40% office attendance per month, increasing to 50% for senior leaders and 60% for Directors and Executive Directors from September. A flexible benefits scheme designed around your lifestyle. Our Values and Culture Our colleagues are the key to our success as a regulator. We are committed to fostering a diverse and inclusive culture that celebrates difference and supports colleagues to deliver at their best. If you require adjustments due to a disability or condition, we will provide tailored assistance. We welcome diverse working styles and aim to provide flexible solutions such as part time and job sharing where applicable. Disability Confident Employer Statement We are a Disability Confident Employer. Applicants with disabilities and long term conditions who meet the minimum criteria will progress to the next stage of the recruitment process. Application Information Applications must be submitted via the FCA online portal. The advert closes on 31st May 2026. CV review/shortlist is 2nd June 2026, with the first interview w/c 8th June 2026. The role is a fixed term contract, open to internal applicants on a secondment or acting up basis. The position expects a minimum of 40% office attendance, rising to 50% for senior roles and 60% for senior leadership from September.

About HIVED At HIVED, we're steamrolling forward as one of Europe's fastest growing startups, and our momentum shows no signs of slowing. Based in London, we are a climate and logistics start-up building the first sustainable parcel delivery network at scale, powered by a 100% electric fleet. In an ever-growing industry where unreliable service has long been the norm, HIVED has been built from the ground-up to meet the demands of modern consumers and disrupt parcel delivery. A tech company at heart, our talent and technology is laser-focused on delivering the best possible delivery experience for end-customers and meeting the needs of our retail partners. From our drivers to our data engineers, we are constantly working to improve this customer experience that makes us deliver better. Already trusted by leading international brands such as John Lewis, Nespresso, Uniqlo, H&M brands and more, we are solidifying our position as the leaders in Europe to tackle this growing market. Our tight-knit team is made up of ex-Revolut, DeepMind, Bain, HelloFresh, ASOS, Apple and Google employees, and we are backed by some of Europe's leading investors and VCs in climate-tech, logistics and mobility including Planet A Ventures , Maersk Growth , Pale Blue Dot VC , Eka Ventures , NordicNinja VC and the British government. We're passionate about driving innovation and redefining the future of delivery. Role overview We're looking for a sharp, business-savvy Staff Data Analyst to drive business outcomes through impactful analytics within our Driver Squad. Our ideal future colleague cares deeply about creating business impact, translating business context and complex analytics into actionable insights and collaborating fluidly across teams Product, Tech, Data as well as Operations and Finance stakeholders. Team structure We believe in opinionated analytics and creating an edge through intelligent use of technology and data in an industry that has been stuck in its ways for too long - for better or worse. That's why we empower our growing team of engineers, data and product folks by embedding them in domain-centered, cross-functional squads for meaningful business context. They take initiative for impactful projects from day one. We hone our craft and grow our skills as data professionals through functional reporting lines and regular catch-ups and knowledge sharing sessions across the Data and wider "HIVEDmind" organisation (= Tech + Data + Product + AI&Automations). Day-to-day activities In your day-to-day you will come up with innovative solutions to business problems and identify new (product) opportunities using data analytics. You will define meaningful KPIs and metrics and capture them in data models and reports. Being embedded in the Driver Squad, you will work closely with your team mates across Tech and Product to deliver performance and efficiency insights and inform the squad's roadmap. You will also collaborate deeply with stakeholders beyond your squad to find efficiency gains and opportunities in our data and processes. How you create impact The Driver Squad's mission is to create the industry's leading delivery operation, identifying and incentivising the best delivery performance across both cost efficiency and delivery quality. You will be leading the squad's work across Driver Pay, Driver Performance and Incentivisation analytics, identifying opportunities for technological innovation all the way through to internal performance and process improvements. Line management While this role is focussed mostly on individual contributions, you will also take line management responsibility for 1-2 Analytics (Engineering) professionals within your team. This role reports directly into the VP Data. Responsibilities Uncover business and product opportunities through robust analytics in a highly complex domain, translating technical insights with clarity for any audience. Shape data-driven decision-making across your squad and the wider operation; develop actionable performance metrics that move the needle. Size and measure the impact of ongoing initiatives and innovations. Build powerful data models and products that deliver actionable insights to your teammates. Line-manage 1-2 Analytics (Engineering) professionals: empower them through clear feedback, meaningful coaching, and leading by example. Raise the bar: role-model analytical rigour and smart pragmatism to shape analytics excellence across the company. Your profile 5+ years of experience in a similar analytics, analytics engineering, business intelligence or data science role. Experience line managing or mentoring other data professionals. A passion for clean, efficient and meaningful SQL queries and Python notebooks. Previous experience using modern BI tools (we use Looker + LookML). AI-savvy to scale yourself and your impact. Deeply outcome-focussed with an analytical mind and the necessary pragmatism to balance rigour with speed. A high-energy and bold communicator who enjoys collaborating across teams from different functions. Technologies we use Analytics: Looker, Data Studio, Python notebooks and geospatial analytics tools Programming languages: Python, SQL Data transformation and data quality: dbt, pandas/ polars, data-diff, Elementary Core data platform: Dagster, dlt and Airbyte, BigQuery, Lakehouse for Iceberg (read about our platform here ) Infrastructure: Cloud Run, Cloud Storage, GKE (Google Kubernetes Engine), Terraform Our interviewing process Intro call SQL live coding task (real, anonymised data in a SQL editor) Analytics take-home task and review On-site interview at our Shoreditch HQ (role and culture) Our values We Are Kind - Kind to the planet, our team and our partners. We listen with purpose, leave our egos at the door and aren't afraid to make difficult decisions. We must never confuse kindness with being "nice" - it requires us to be fair, consistent, honest, thoughtful and compassionate. We Are Tenacious - We fight every day to keep the customer promise, for every parcel entrusted to us. No matter how hard it gets or whatever stands in our way, we are relentless in our pursuit of excellence. We Are Curious - We never settle, constantly challenge convention and are never afraid to ask why. We believe there is always more to learn, always a better way, and that we're always only just getting started. We never fight the urge to be inquisitive, to understand the world around us and to explore where others might not. We Are Resourceful - Our planet's resources are scarce and our future depends on our ability to use them wisely. Waste is the enemy. We strive to do more with less, be more efficient and make the most of what we have. How we reward our team Dynamic hybrid working environment with a diverse and driven team Huge opportunity for learning in a high growth environment, with progression opportunities based on success in the role 25 days of holiday allowance plus public holidays 1 Birthday Day Off + 2 Tenure-Based Additional Days Off Subsidised Private Medical Insurance including dental, vision & mental health therapy Bi-annual performance reviews and tailored development plans Competitive salary + EMI options scheme Annual compensation review Team lunch provided once a week Quarterly team socials and annual sports day (HIVED Olympics) Enhanced maternity/paternity/adoption policy as day 1 right Community volunteer days Cycle to work scheme Dog friendly office and depots MacBook Air or Windows Laptop (depending on your preference) Want to learn more? Meet the team in 60 seconds: Behind the scenes with HIVED HIVED is B Corporation certified HIVED is on The Sunday Times Tech 100 Read how HIVED raised $42M to transform parcel delivery with AI and all-electric logistics network Check the Impact Reports for 2024 and 2025 Keep up with HIVED here

PSR Limited in Greater London is seeking a Financial Crime Senior Data Analyst to lead strategic data projects supporting the FCA's supervision of financial crime. You will analyze unique FCA datasets to prevent the UK financial sector from facilitating financial crime. The ideal candidate will have experience in data analysis, creating visualization dashboards, and collaborating with various stakeholders. Benefits include a hybrid work model, private healthcare, and a non-contributory pension scheme.

Job Title Financial Crime Senior Data Analyst Division and Department Supervision, Policy & Competition - Financial Crime Market Interventions (RDS Team) Role Overview This role focuses on strategic data projects to support the FCA's financial crime supervision. You will access unique FCA datasets, perform data analysis, and deliver outputs that help prevent the UK financial sector from facilitating financial crime. Key Responsibilities Develop and maintain data and supervision capabilities to keep the FCA a leader in financial crime supervision. Analyse conduct data using various tools and deliver outputs that meet supervision needs. Collaborate with data analysts and data scientists across the FCA, including the Innovation division. Qualifications Minimum: Demonstrated experience as a data analyst or business analyst; experience in creating data visualisation dashboards (e.g., Tableau); proficiency in Excel and advanced SQL or equivalent data analytics tools. Essential: Effective communication skills to present analysis outcomes to non technical stakeholders; experience delivering projects to tight deadlines; ability to work with a wide range of stakeholders; demonstrated confidence in leading meetings with senior leaders; ability to prioritise conflicting priorities and deliver results with minimal supervision; collaborative mindset with imaginative, innovative problem solving. Benefits 25 days annual leave plus bank holidays. Hybrid model - minimum 40% office work each month (50% for senior leaders). Non contributory pension (8-12% depending on age) and life assurance at eight times salary. Private healthcare with Bupa, income protection, and 24/7 Employee Assistance. 35 hours of paid volunteering annually. Flexible benefits scheme designed to fit lifestyle. Diversity and Inclusion We are committed to fostering a diverse and inclusive culture, free from discrimination and bias, celebrating difference and supporting colleagues to deliver at their best. We are a Disability Confident Employer and welcome candidates with disabilities or long term conditions who meet the minimum criteria for the role.

About us HDI is a Corporate & Specialty Insurer part of the Talanx Group. With over 120 years of experience, HDI operates across five continents, around 40 countries and employs over 5,000 people worldwide. The role The Data Engineer is responsible for designing, building, and maintaining robust, scalable data pipelines and cloud based data infrastructure to support analytics, reporting, data modelling, underwriting insights, and regulatory needs across HDI UK&I. This role ensures timely, trusted, well structured data delivery into appropriate data marts & warehouses, and downstream data feeds which are used by Actuarial, Finance, Operations, and Underwriting. The position forms a core part of HDI's data transformation agenda, enabling improved decision making, automation, and analytics maturity. Key accountabilities Design, develop, and maintain end to end ingestion pipelines into appropriate data technologies such as Snowflake from internal systems (policy admin, claims, finance) and external data sources. Build orchestrated ELT/ETL processes using modern tooling and best practice engineering patterns. Implement incremental refresh, schema evolution management, and data validation tests. Ensure data availability aligned to business SLAs (e.g., daily refresh for actuarial & finance repositories). Data Modelling & Warehouse Development Create well structured dimensional and relational data models for analytical use cases. Develop canonical, reusable datasets (curated marts) for Analytics, Actuarial, and Finance. Own the technical modelling layer in Snowflake including schema design, performance optimisation, cost control, and warehouse governance. Collaborate closely with Analytics Engineers using dbt, ensuring transformations are production grade, tested, and fully documented. Data Quality, Testing & Governance Implement automated testing suites, data contracts, lineage, and monitoring frameworks. Partner with Data Governance to embed quality rules, SLAs, and metadata standards into pipelines. Resolve data quality issues proactively and own improvements to source to target data flows. Cross Functional Collaboration Work with business areas as needed to supply structured data sets for relevant business processes. Drive the building of automated, trusted data feeds for analytics requirements. Partner with Data Analysts to accelerate dashboarding and advanced analytics. Collaborate with Technology teams to ensure secure, reliable platform operation. Optimise Snowflake/SQL/Python query performance, warehouse sizing, storage costs, and compute efficiency. Implement workload separation, time travel optimisation, clustering, and pruning strategies. Documentation & Knowledge Sharing Produce comprehensive documentation for pipelines, data models, data flows, and architecture components. Provide technical guidance to junior team members and evangelise engineering best practices. Skills & experience Technical Skills Expert SQL engineering capability Advanced experience with schemas, warehouses, stages, tasks, streams, performance tuning. Experience of modern transformation frameworks (Snowflake/DBT preferred - but not essential) Python for scripting, automation, and orchestration. Experience with CICD pipelines (GitHub Actions / Azure DevOps), code reviews, and versioning. Strong understanding of data modelling, data warehousing patterns, and ELT best practice. Familiarity with PowerBI or BI model structures to support downstream analytics. Cloud platform experience (Azure preferred). Business & Domain Skills Prior experience in insurance, especially commercial/specialty lines, claims, actuarial or finance data structures Understanding of regulatory expectations around data quality, lineage, and auditability (desired but not essential) Professional: Degree in Computer Science, Engineering, Mathematics or similar (or equivalent professional experience). dbt certification beneficial. Snowflake certifications advantageous. Other As an equal opportunities employer, we are committed to creating an inclusive environment for all employees, recognising that a diverse and inclusive workplace is a creative and prosperous one. If you require support with your application, please contact UK&.

About Decoded We are Decoded, the pioneers of transformative technology education. We democratise cutting edge skills. We help transform traditional businesses into tech companies. We give our learners the skills and confidence to embrace the future of work. Our products and methodologies have been shaped through our collaboration with some of the largest and most technologically progressive organisations in the world. We use the intelligent, ethical and creative application of technology to lay the foundations for a more productive and promising world - one with unlimited possibilities. Overview We are looking for a Data Apprenticeship Instructor to work full time to deliver our best in class Data Analytics and Business Analytics workshops to apprenticeship learners on our Level 4 Data Analyst programme and our Level 3 Data Technician programme. This role is dedicated to the delivery of workshops, delivered between 09:00 - 17:00 GMT. The majority of workshops will be 3.5 or 4.5 hours long (including set up and wrap up time) with 8 hour hackathon workshops delivered less frequently throughout the programmes. Infrequently you may be asked to work outside core UK working hours due to the global nature of Decoded's client base. Accountabilities As a Data Apprenticeship Instructor at Decoded, you will be responsible for: Teaching our learning content to groups of apprenticeship learners via virtual workshops Honing your skills as an educator and building your knowledge of andragogy and teaching theory Working with the Learner Success Coaches (LSCs) to ensure learners progress through the programme. Each learner will have the support of an LSC to support them with practical and pastoral guidance. Contributing to product improvement and content development Specific roles & responsibilities Your specific responsibilities are: Workshop preparation and knowledge of content Comprehensively understand the apprenticeship curriculums and learning objectives of our programmes Reviewing exercises and other learning materials before a workshop Learning about your learners and the businesses they work for Familiarising yourself with the course structure and content, proactively filling gaps in your knowledge Maintaining a continual learning mindset and strive to advance your knowledge in your specialist domains Facilitation skills Timekeeping Classroom management Atmosphere: both professional and energetic, with good energy and engagement level with learners Technical issues using Zoom/Teams, Mural, Menti and other key tools Quality of teaching Decode and communicate complex concepts and principles with energy, focus and patience Engaging and captivating the attention of a virtual room of busy professionals Facilitating the learning journey for your audience, and leaving no one behind whilst also providing stimulation for advanced learners Enabling an inclusive, collaborative, and respectful learning environment SME Contribution Contributor to training programme development projects by providing SME input and peer review of content Producing materials to support learners with stretch needs, and instructions for technical content to support learning Skills & behaviours We are looking for candidates with a mindset built on: Building collaborative relationships Solving problems elegantly and creatively: "find a way or make a way" Organisational skills - proactivity, process improvements Excellent communication skills: adaptable, clear and consistent written, verbal, 1:1, group A flexible, can do attitude and a willingness to learn Striving for excellence in all areas Exceptional attention to detail to deliver timely, quality results A passion to learn and adapt Topics covered within our programmes that require technical skills Programming (Python) Data Analysis (Python, Excel) Dashboarding (PowerBI, Tableau) Data Manipulation Data Visualisation Statistics Data Storytelling Data Modelling Databases (SQL) Data Architecture Time Series Analysis Machine Learning What does success look like? Your performance will be measured and driven by: Enabling learners to apply newly learned techniques to their professional environment Delivering regular high-quality learning engagements with learners Coaching through the application of techniques that are new to learners Striving for excellence in everything you do: you don't accept mediocrity in yourself or the team around you Solving problems elegantly and creatively: "find a way or make a way" A successful candidate will be expected to achieve the following within 3 months Autonomous management of learning content development deadlines Autonomous management of workshop delivery Confidence to successfully deliver at least 80% of our Apprenticeship workshops An overall Learner Feedback score +8/10 An overall Teacher KPI score of 75% Team reporting & structure You will report into the Portfolio Director, in the Product Department. Who are you? You are: A passionate technologist with over 2 years of experience teaching data analytics, data science, computer science, software engineering or similar in a school, university or higher level Confident coding in Python An excellent and adaptable communicator, verbally and in writing Self motivated and a problem solver who takes initiative Passionate about technology and learning A team player who is eager to improve our programmes wherever possible and contributes to overall morale Always keen to learn, improve and stretch your own knowledge, skills and behaviours Bonus Familiar or experienced with Data Science concepts and tools Day to day This role can be delivered fully remote, provided the working location has consistently reliable Wifi for workshop delivery. The Decoded office in London Liverpool Street is available to all Decoded employees for non workshop delivery work Your working hours will be 09:00 - 17:00. Learning and progression We run a dedicated learning calendar to hone craft skills in teaching, leadership, strategy and other relevant disciplines. Quarterly performance reviews embedded within our culture of feedback will ensure you are recognised and rewarded for the value that you bring to Decoded. Benefits A competitive salary 33 days' holiday per year, inclusive of the 8 bank holidays. We also close for two full weeks at Christmas, at Decoded's discretion Company pension contributions Private health care including dental, GP, hospital cover and a gym discount to help you prioritise your wellbeing Travel insurance A work environment that values creativity, personal growth and collaboration Continuous learning and development: you will be challenged with lots of responsibility and exciting projects in an environment that encourages learning A huge array of social events including themed Christmas get togethers and a summer away day as well as monthly drinks and activities A digital first, hybrid working environment Cutting edge software and kit Salary £40,000 £50,000 per annum Decoded is committed to safeguarding and promoting the welfare of young people, and vulnerable adults and expects all staff to share this commitment. All roles involving interaction with learners, or access to sensitive learner data, are subject to mandatory background clearances. Successful candidates will be required to undergo a DBS check; where the role meets the criteria for regulated activity, an Enhanced DBS check (including a barred list check) will be required prior to commencement of employment. We also require 2 professional references that come from either of the following: Your HR department Current or previous manager Someone senior to you in the business

United Cerebral Palsy of Georgia is seeking a Data Analyst based in Filton, UK, to contribute to the development of the fleet diagnostic and predictive maintenance models. You will support technical investigations with aircraft fleet data analysis, working alongside a market-leading Defence and Aerospace company. Qualifications include experience with Jira, Palantir Foundry, and data analytics. The position offers £50 per hour inside IR35, with a contract up to 31/12/2026.

Full Stack Developer - .NET Core / MVC / JavaScript - Derby Salary: £30,000 - £45,000 (DOE) Overview An established and forward thinking software provider based in Derby is looking for an experienced Full Stack Developer to join its collaborative and talented team. You'll be working on industry leading customer engagement software, used by high profile businesses worldwide. This is an exciting opportunity to be part of a small, agile team where your ideas will be heard and your contributions will have a real impact. If you're a driven developer with a passion for clean, scalable code and modern technologies, you'll fit right in. Role You'll play a key role in developing new features, building applications from the ground up, and supporting the migration of legacy systems to the latest version of .NET, including the use of containerisation. You'll also work closely with analysts and other developers to continuously improve product performance and user experience. Key Responsibilities Build and maintain web applications using .NET Core, MVC, and JavaScript Develop new features and enhance existing functionality Collaborate with data analysts and developers to solve complex problems Help shape the technical direction of products and architecture Investigate and resolve support issues as needed What You'll Need 2 years' commercial experience with .NET and C# Strong knowledge of MVC Proficient with SQL Server Solid understanding of HTML, CSS, and JavaScript Desirable Skills .NET Core, JavaScript frameworks (React, Angular, or Vue) Experience with Containers (e.g., Docker) TypeScript About the Company This company is a leading provider of award winning software and data solutions, specialising in omni channel products within the BI and analytics space. With a long standing reputation and a global client base, they offer both stability and exciting challenges. They invest heavily in training and development, creating a relaxed but focused working environment where developers are truly supported. Benefits Salary: £30,000 - £45,000 (DOE) Dedicated training & development plans Relaxed and collaborative working culture Excellent progression opportunities High impact projects with global clients

LGT Wealth Management UK LLP is a UK-based partnership, wholly owned by the private banking group LGT, which is in turn owned by the Princely Family of Liechtenstein. The firm was founded in 2008 with the aim of offering a fresh approach to wealth management. In addition to London, we operate from Edinburgh, Jersey, Leeds, Birmingham, Bristol and Manchester, supported by our two sister entities that focus on US and Jersey clients. Our mission is to create long term value for all stakeholders, and our core values are belonging, respect, integrity, conviction and entrepreneurship. Business Unit The Procurement and Supplier Oversight team is responsible for sourcing, onboarding and managing key supplier relationships. It is a relatively new function that is in a growth and development phase, overseeing and supporting each stage of the procurement process, including due diligence, third party risk management (TPRM) and supplier management. Brief Role Objective We are looking for an experienced Market Data Analyst to join the team and help build a function that delivers efficiency, cost savings and essential governance to our business. The role holder will work closely with the market data procurement function in Group to support contract negotiations, identify duplication, and streamline use of market data across the UK business. The role also includes day to day oversight tasks for the UK procurement and supplier oversight team, requiring strong stakeholder management, communication, prioritisation and issue resolution skills. Key Responsibilities Support commercial market data contract negotiations Work with Group colleagues to analyse market data usage and manage the services with the suppliers Manage supplier related issues Support oversight and monitoring of the wider business Administer contracts on Agiloft and perform risk assessments Identify opportunities for cost savings across the business Help embed a TPRM framework into the business Requirements Extensive market data experience in a regulated environment Highly effective in issue management Proven track record of successful commercial negotiations Excellent communication skills Analytical and problem solving abilities, with attention to detail Risk focused approach to working with suppliers Ability to effectively prioritise tasks and manage expectations Sound regulatory knowledge Desired: due diligence experience