743 Data Analyst jobs

Data Analyst - Description Spotlight Sports Group is a global media and technology company specialising in content and data within sports betting, horse racing and fantasy sports. With over 400 employees, the group operates multiple award-winning brands, including Racing Post, the world's largest horse racing affiliate, Pickswise, myracing and Free Super Tips. We partner with leading operators across the betting industry to produce and build multilingual, best-in class digital products and content to engage and educate customers. ICS digital, an international marketing agency including ICS translate, also operates under the group. This Data Analyst role sits within the Data Intelligence Unit (DIU) and is focused on insight generation, analytical problem solving, and decision support, not just reporting. The role is responsible for improving the organisation's understanding of customers, behaviours, and performance drivers by moving beyond surface level trends to explain underlying causes, quantify impact, and support evidence based decision making across Content, Commercial, CRM, Product, and Leadership teams. This role is particularly well suited to an analyst who enjoys working with complex behavioural data, thrives in ambiguous problem spaces, and wants to influence strategy through rigorous analysis. An interest in sport and betting markets is helpful for context, but analytical curiosity and critical thinking are essential. This role is a hybrid role based in our Central London Office near Southbank 3 days a week, with 2 days from home. Key Accountabilities Insight Generation: Go beyond BAU reporting to proactively identify trends, patterns, and opportunities in customer behaviour, lifecycle progression, segmentation, and product engagement, linking insight to commercial and strategic outcomes. Stakeholder Collaboration: Work closely with squads, product teams, and leadership to understand challenges, shape hypotheses, and deliver insights that influence strategic decisions. Data Storytelling: Translate complex datasets and analysis into clear, compelling narratives that drive action, ensuring insights are accessible and meaningful for stakeholders with varying levels of data fluency. Impact Measurement: Develop and implement robust measurement frameworks, including test and learn approaches, to evaluate the success of business changes and ensure decisions are evidence based and continuously refined. Championing a Data Driven Culture: Advocate for data as a strategic asset, challenging assumptions and embedding insight led decision making across Content, Product, CRM, and Commercial teams. Automation for Efficiency: Streamline and automate recurring reporting and analysis, maximising time spent on high value insight generation rather than manual data preparation. Requirements Strong SQL skills, with the ability to query, join, and manipulate large and complex datasets Strong working knowledge of Python for data analysis and automation (e.g. pandas, numpy) Ability to understand new datasets quickly and extract meaningful insights. Experience working with large, complex datasets across multiple sources. Proficiency in data visualisation tools (Looker Studio), with a focus on creating actionable insights rather than static reporting. Hands on experience with product analytics tools (e.g., Google Analytics, Amplitude, Mixpanel). Ability to work independently, defining topics for analysis and driving them to completion. Strong communication skills, with the confidence to present findings and challenge assumptions. Background in Mathematics, Statistics, Data Science, or a related quantitative discipline. We offer a range of well being initiatives, including private medical insurance, excellent parental leave, a working globally policy, mental health support, assistance programs, and social gatherings. We also provide a pension scheme and various other benefit schemes. Plus, we all get our birthdays off work and enjoy 25 days of holiday per year. We've also got you covered with life assurance and exclusive perks like the Star card and our Step Further Awards (our employee recognition program) to recognise your dedication. For those working via the hybrid model (in the office and at home) we've made commuting easier with our Season Ticket Loan and Cycle to Work Scheme. You can also take advantage of complimentary access to our Racing Post Members Club, complete with an Ultimate Membership. We believe in making a positive impact beyond the workplace, and you'll have the chance to volunteer two days per year with our charity partner.

Relay is fundamentally reshaping how goods move in an online era. Backed by Europe's largest-ever logistics Series A ($35M), led by deep-tech investors Plural (whose portfolio spans fusion energy and space exploration), Relay is scaling faster than 99.98% of venture-backed startups. We're assembling the most talent-dense team the logistics industry has ever seen. Relay's Mission is free commerce from friction. Today, high delivery costs act as a hidden tax on e commerce, quietly shaping what can be sold online and limiting who can participate. We envision a world where more goods move more freely between more people, making the online shopping experience seamless and accessible to everyone. TEAM 110 people, more than half in engineering, product and data 45+ advanced degrees across computer science, mathematics and operations research Thousands of data points captured, calculated, analysed and predicted for every single parcel we handle An intellectually vibrant culture of first principles thinking, tight feedback loops and relentless experimentation OVERVIEW Relay's Pitstop network is the convenience store backbone of the operation. Customers drop off and collect parcels at these locations, Middle Mile drivers hand off and pick up, and the whole network depends on independent retailers behaving in ways that make Relay work. They aren't Relay staff. We don't control their attention, their turnover, or what else is happening behind their counter. Every behaviour we need has to be produced through systems, incentives, and the app. The Pitstop squad's job is to build those systems. Today the network runs at around 170k parcels a day, propped up by a small operations team and twelve LiveOps FTE absorbing the day to day breakage. The squad's mission is to take the network from 170k to 2M parcels a day without LiveOps scaling linearly with it. That means systematising launch readiness, pitstop performance, pricing structure, and retention so the same number of operators can support a network twelve times the size. As a Data Analyst in the Pitstop squad, you will own the analytics that make all of this measurable. Are launches hitting day 1 quality? Is handover speed improving where new in app behaviour nudges have rolled out? Which pitstops are heading for churn and why? What's actually driving LiveOps ticket load, and which interventions are removing it? You'll build the monitoring layer the squad relies on, run the cost and performance investigations that shape what gets built next, and become the squad's source of truth on what's working. Relay operates a centralised data team of around 30 data engineers, analysts, and data scientists, with analysts embedded into squads across the business. You will sit in the Pitstop squad, working day to day with operations, sales, engineering, design, and research. You will report into the centralised data team and be line managed by the Lead Data Analyst for Middle Mile, Pitstops & Sortation. WHAT YOU'LL DO Own the Pitstop squad's five outcome metrics: Launch Velocity, Handover Speed, Handover Accuracy, Pitstop Retention, and Indirect Cost per Parcel. Build the monitoring around them, investigate movement, and translate the numbers into next actions for the squad. Run the analytics behind pitstop performance and pricing: which behaviours move handover speed, how commercial tiers and clawbacks are landing, which pitstops are systematically under or over performing, and what the in app nudges are actually changing on the counter. Quantify the impact of squad initiatives in cost terms: how much LiveOps load did this self serve flow remove, how much Middle Mile driver time did this handover prompt unlock, and what is the CPP impact of retention work on mature pitstops. Build launch readiness analytics: cohort ramp curves, time to maturity, where new pitstops break in week one, and how the launch playbook should evolve as volume grows. Build the retention layer: a health score for pitstops, at risk alerting, churn diagnosis triaged by cause, and the feedback loop back into acquisition and onboarding. Investigate LiveOps ticket load by category and reason. Quantify what each ticket type costs, where the volume is concentrated, and which pillars should systematise it next. Define KPIs and build dashboards that make Pitstop performance transparent to the squad, to operations, and to leadership. Maintain and extend the squad's dbt models and data pipelines that underpin the monitoring layer. WHO WILL THRIVE IN THIS ROLE? You want to understand how an operation actually works, not analyse it from a distance. Pitstops are messy, varied, and behaviour driven. The best work comes from people who can sit with operators, watch handovers happen, and translate what they see into measurable signals. You're excited by cost and behaviour problems. Where is LiveOps spending time, what's driving handover friction, and where are systems failing in ways the data can show but the squad cannot yet feel. You can navigate messy operational data and turn it into metrics people trust. You're comfortable working alongside operations, design, engineering, and commercial stakeholders, and you can embed your analysis into their workflows. You're fluent in SQL and experienced with BI tools, with strong problem solving instincts. You have at least 3 years experience, ideally with exposure to logistics, parcels, retail operations, or another network scale operational business. You care about impact, not just insight. Success in this role is measured by whether the Pitstop network can scale without LiveOps scaling with it. You communicate clearly with non technical stakeholders and can explain what the data shows, where the limits are, and what to do next. WHO THRIVES AT RELAY? Aim with Precision: You define problems clearly and measure your impact meticulously. Play to Win: You chase bold bets, tackle the hard stuff, and view constraints as fuel, not friction. 1% Better Every Day: You believe that small, consistent improvements lead to exponential growth. You move quickly, deliver results, and learn from every experience. All In, All the Time: You show up and step up. You take ownership from start to finish and do what it takes to deliver when it counts. People Powered Greatness: You invest in your teammates. You give and receive feedback with care and candour. You build trust through high standards and shared success. Grow the Whole Pie: You seek out win win solutions for merchants, couriers, and our customers, because when they thrive, so do we. If these resonate, and you combine strong technical fundamentals with entrepreneurial drive, let's connect. Relay is an equal opportunity employer committed to diversity, inclusion, and fostering a workplace where everyone thrives.

Are you an enthusiastic early career data professional with a passion for AI, analytics, and solving real business problems? An innovative and fast paced organisation in the metals trading sector is looking for a proactive AI & Data Analyst to join its Projects Team. This is a hands on role where you'll help deliver data products and AI powered insights that directly shape business decisions. As an AI & Data Analyst, you'll work across the full data lifecycle from sourcing and transforming data to exploratory analysis, feature development, modelling support and clear communication of results. You'll collaborate closely with business users, contribute to good engineering practices, and play a key role in producing dashboards and analysis that make a tangible impact. What You'll Be Doing Integrating and transforming data from internal systems and external sources; maintaining essential documentation and metadata. Assessing datasets for quality, completeness and bias; proposing improvements and tracking their impact. Conducting exploratory analysis on structured and unstructured data and producing clear dashboards/visualisations (Power BI/Tableau). Supporting development and evaluation of lightweight machine learning models, ensuring reproducibility and version control (Git). Using AI assisted development tools to accelerate delivery while upholding accuracy, transparency and auditability. Working with stakeholders to refine requirements, translate business questions into data tasks, and support UAT for analytics releases. Contributing to best practices in security, privacy, responsible AI, coding standards, documentation and simple automation. Who We're Looking For A graduate in a quantitative field (Computer Science, Data/AI, Maths/Stats, Engineering) or equivalent experience. Strong foundations in Python (Pandas, NumPy, visualisation libraries; scikit learn; exposure to PyTorch useful), SQL, BI tools (Power BI/Tableau), and Git. Understanding of basic data modelling concepts and metadata management. Nice to have: exposure to modern data engineering tools (cloud data warehouses/lakehouses, ETL/ELT, orchestration tools, APIs, CI/CD). Solid grounding in statistics and model evaluation. Clear communicator able to present technical findings to non technical stakeholders. Curious, analytical, and comfortable working with ambiguity and iterative delivery. Commercial awareness; experience or interest in financial markets is a plus. Able to work effectively in a hybrid environment. Typically up to 3 years' experience in data/analytics (internships and project work welcome). Why Apply? This is an exceptional opportunity for an early career analyst to gain hands on experience with real world data challenges, work with modern AI tools, and develop both technical and commercial skills in a dynamic environment.

Data Analyst II (Contract) Contract Type: Inside IR35 Start Date: August (fixed) Duration: Maternity cover Working Pattern: Hybrid (1 day per week preferred) About the Role We are looking for an experienced Data Analyst II to join a high-performing analytics function focused on customer and product analytics. This role sits at mid-level and offers the opportunity to work closely with Product Managers, Engineers, and cross-functional stakeholders to solve complex business challenges through data. You will own analytical work end-to-end, from defining problems through to delivering insights and recommendations that directly influence product and business decisions. Key Responsibilities Own and deliver end-to-end analytics projects (problem definition data insight recommendation) Partner with Product Managers and Engineering teams to identify opportunities and solve business challenges Perform data extraction, transformation, and analysis across large and complex datasets Build and maintain automated data workflows and scalable analytical solutions Develop dashboards, reports, and visualisations to clearly communicate insights Analyse experimentation results (A/B and multivariate testing) and provide actionable recommendations Translate complex analysis into clear, business-friendly insights for stakeholders Ensure high standards of data quality, governance, and analytical rigour Support and mentor more junior analysts where required Essential Skills & Experience Technical Strong experience with SQL (complex querying, data manipulation) Experience using Python for data analysis and automation Experience working with large datasets and modern data environments Proven experience building dashboards (Power BI, Tableau, or similar) Good understanding of data modelling and data quality principles Analytics & Business Experience delivering insight-led analysis, not just reporting Strong understanding of: A/B testing / experimentation concepts Statistical thinking and interpreting results Ability to translate business problems into analytical solutions Experience working with customer or product data Strong commercial awareness and problem-solving ability Stakeholder Management Proven experience working with: Product teams Engineering teams Business stakeholders Ability to communicate complex insights clearly to non-technical audiences Comfortable working independently with minimal supervision Desirable Experience working with Snowflake or cloud data platforms Exposure to Google Analytics / Adobe Analytics / similar tools Background in travel, e-commerce, or digital product environments Experience with PySpark or large-scale data processing Exposure to statistical modelling or machine learning concepts Candidate Profile We're looking for someone who is: Hands-on and technically strong (SQL + Python) Able to own work independently from start to finish Comfortable influencing business and product decisions Strong communicator with stakeholder-facing experience Curious, analytical, and focused on solving real business problems with data What You'll Get Opportunity to work in a product-led, data-driven environment High-impact role influencing customer-facing decisions Exposure to cross-functional teams and complex datasets A chance to take full ownership of analytical work If you're a hands-on Data Analyst who enjoys turning data into business impact - we'd love to hear from you.

Black Sheep Coffee Dubai is looking for a Data Analyst in Southwark, London. In this role, you will build and maintain Power BI dashboards, ensuring accurate reporting across the business. You will collaborate with stakeholders to deliver insights that support better decision-making and monitor data quality. The ideal candidate has at least three years of experience in data analysis, strong SQL skills, and a passion for data visualization. Benefits include an annual bonus, monthly phone reimbursement, and career progression opportunities.

Relay Technologies is looking for a Data Analyst for the Pitstop squad to enhance operational efficiency by analyzing performance metrics. You will monitor aspects such as Launch Velocity and Handover Speed, ensuring effective strategies are in place for scaling the network. The ideal candidate has strong SQL skills and a minimum of 3 years of relevant experience in logistics or operational analysis, with emphasis on collaboration across teams to deliver data-driven insights.

慨正橡扯 is looking for a Data Analyst to help shape decisions using data insights. You'll work with clients in government and healthcare, improving services through performance measuring frameworks. Essential experience includes scripting languages like SQL or Python, and data visualisation tools. The role requires UK Security Clearance eligibility and provides a salary range of £44,001 - £50,000 per annum with a competitive benefits package.

Cisco Systems is seeking a skilled Data Analyst to join their ThousandEyes team in Greater London. The role involves leading analytical projects and producing statistical reports to enhance internet performance for Government customers. Required qualifications include strong proficiency in R and SQL, with a focus on clear report writing and data management skills. Candidates should be detail-oriented and comfortable using AI tools. This position offers an excellent opportunity to impact digital experiences globally.

Computer Futures / SThree Group in Manchester seeks an experienced Data Analyst II for a contract role focusing on customer and product analytics. This hybrid position requires strong SQL and Python skills to deliver end-to-end analytical work that drives business decisions. The successful candidate will engage with product managers and engineers to influence impactful data-driven decisions, develop dashboards, and deliver actionable insights through complex datasets. If you're ready to make a significant impact in a product-led environment, apply now!

Relay is fundamentally reshaping how goods move in an online era. Backed by Europe's largest-ever logistics Series A ($35M), led by deep-tech investors Plural (whose portfolio spans fusion energy and space exploration), Relay is scaling faster than 99.98% of venture-backed startups. We're assembling the most talent-dense team the logistics industry has ever seen. Relay's Mission is free commerce from friction. Today, high delivery costs act as a hidden tax on e commerce, quietly shaping what can be sold online and limiting who can participate. We envision a world where more goods move more freely between more people, making the online shopping experience seamless and accessible to everyone. TEAM 110 people, more than half in engineering, product and data 45+ advanced degrees across computer science, mathematics and operations research Thousands of data points captured, calculated, analysed and predicted for every single parcel we handle An intellectually vibrant culture of first principles thinking, tight feedback loops and relentless experimentation OVERVIEW Relay's Pitstop network is the convenience store backbone of the operation. Customers drop off and collect parcels at these locations, Middle Mile drivers hand off and pick up, and the whole network depends on independent retailers behaving in ways that make Relay work. They aren't Relay staff. We don't control their attention, their turnover, or what else is happening behind their counter. Every behaviour we need has to be produced through systems, incentives, and the app. The Pitstop squad's job is to build those systems. Today the network runs at around 170k parcels a day, propped up by a small operations team and twelve LiveOps FTE absorbing the day to day breakage. The squad's mission is to take the network from 170k to 2M parcels a day without LiveOps scaling linearly with it. That means systematising launch readiness, pitstop performance, pricing structure, and retention so the same number of operators can support a network twelve times the size. As a Data Analyst in the Pitstop squad, you will own the analytics that make all of this measurable. Are launches hitting day 1 quality? Is handover speed improving where new in app behaviour nudges have rolled out? Which pitstops are heading for churn and why? What's actually driving LiveOps ticket load, and which interventions are removing it? You'll build the monitoring layer the squad relies on, run the cost and performance investigations that shape what gets built next, and become the squad's source of truth on what's working. Relay operates a centralised data team of around 30 data engineers, analysts, and data scientists, with analysts embedded into squads across the business. You will sit in the Pitstop squad, working day to day with operations, sales, engineering, design, and research. You will report into the centralised data team and be line managed by the Lead Data Analyst for Middle Mile, Pitstops & Sortation. WHAT YOU'LL DO Own the Pitstop squad's five outcome metrics: Launch Velocity, Handover Speed, Handover Accuracy, Pitstop Retention, and Indirect Cost per Parcel. Build the monitoring around them, investigate movement, and translate the numbers into next actions for the squad. Run the analytics behind pitstop performance and pricing: which behaviours move handover speed, how commercial tiers and clawbacks are landing, which pitstops are systematically under or over performing, and what the in app nudges are actually changing on the counter. Quantify the impact of squad initiatives in cost terms: how much LiveOps load did this self serve flow remove, how much Middle Mile driver time did this handover prompt unlock, and what is the CPP impact of retention work on mature pitstops. Build launch readiness analytics: cohort ramp curves, time to maturity, where new pitstops break in week one, and how the launch playbook should evolve as volume grows. Build the retention layer: a health score for pitstops, at risk alerting, churn diagnosis triaged by cause, and the feedback loop back into acquisition and onboarding. Investigate LiveOps ticket load by category and reason. Quantify what each ticket type costs, where the volume is concentrated, and which pillars should systematise it next. Define KPIs and build dashboards that make Pitstop performance transparent to the squad, to operations, and to leadership. Maintain and extend the squad's dbt models and data pipelines that underpin the monitoring layer. WHO WILL THRIVE IN THIS ROLE? You want to understand how an operation actually works, not analyse it from a distance. Pitstops are messy, varied, and behaviour driven. The best work comes from people who can sit with operators, watch handovers happen, and translate what they see into measurable signals. You're excited by cost and behaviour problems. Where is LiveOps spending time, what's driving handover friction, and where are systems failing in ways the data can show but the squad cannot yet feel. You can navigate messy operational data and turn it into metrics people trust. You're comfortable working alongside operations, design, engineering, and commercial stakeholders, and you can embed your analysis into their workflows. You're fluent in SQL and experienced with BI tools, with strong problem solving instincts. You have at least 3 years experience, ideally with exposure to logistics, parcels, retail operations, or another network scale operational business. You care about impact, not just insight. Success in this role is measured by whether the Pitstop network can scale without LiveOps scaling with it. You communicate clearly with non technical stakeholders and can explain what the data shows, where the limits are, and what to do next. WHO THRIVES AT RELAY? Aim with Precision: You define problems clearly and measure your impact meticulously. Play to Win: You chase bold bets, tackle the hard stuff, and view constraints as fuel, not friction. 1% Better Every Day: You believe that small, consistent improvements lead to exponential growth. You move quickly, deliver results, and learn from every experience. All In, All the Time: You show up and step up. You take ownership from start to finish and do what it takes to deliver when it counts. People Powered Greatness: You invest in your teammates. You give and receive feedback with care and candour. You build trust through high standards and shared success. Grow the Whole Pie: You seek out win win solutions for merchants, couriers, and our customers, because when they thrive, so do we. If these resonate, and you combine strong technical fundamentals with entrepreneurial drive, let's connect. Relay is an equal opportunity employer committed to diversity, inclusion, and fostering a workplace where everyone thrives.

Camlin is a global technology leader that operates with the vision of bringing revolutionary products to life for a wide range of industries, including power and rail, and also has interests in a number of R&D projects in a variety of scientific sectors. At Camlin we believe in high quality engineering and design, allowing us to develop market leading products and services. In short, we love creating value for our customers by solving difficult problems. As of now, Camlin operates in over 20 countries worldwide. Data & Discovery Analyst As a Data Analyst, you play a critical role in converting data into actionable insights that fuel innovation, strengthen operational decision making, and accelerate delivery. Supporting the Data & Delivery Lead, you will perform high quality analysis, build reliable datasets, and contribute to the shaping, validation, and monitoring of data solutions. Your work ensures accuracy, clarity, and integrity across the entire delivery pipeline RESPONSIBILITIES Data Analysis & Insight Development Exploratory Analytics: Conduct detailed exploratory data analysis to identify trends, root causes, and opportunities for improvement or innovation. Hypothesis Testing: Support early stage discovery by testing hypotheses and validating assumptions through rigorous quantitative analysis. Insight Packaging: Translate complex findings into clear, concise insights, visualisations, and recommendations for both technical and non technical stakeholders. Data Wrangling: Prepare, clean, and transform datasets to support modelling, prototyping, and production ready pipelines. Requirements Translation: Work with the Data & Delivery Lead to convert exploratory findings into structured, well defined data requirements for engineering teams. Pipeline Validation: Assist in user acceptance testing, data validation, and quality assurance for new or enhanced data pipelines. Data Quality & Governance Quality Checks: Perform ongoing data profiling, validation, and anomaly detection to ensure data flowing into solutions is accurate, complete, and reliable. Issue Investigation: Identify data issues at source or within pipelines and collaborate with the Data & Delivery Lead and source owners to support remediation. Documentation: Maintain clear, accurate data dictionaries, lineage notes, and quality logs to support compliant, traceable data practices. Delivery Support & Operational Collaboration Work Intake Preparation: Assist with initial scoping, data feasibility assessments, and effort estimation for incoming work. Cross Team Coordination: Work closely with Strategy & Foresight, Value Realisation, and Engineering to ensure a shared understanding of data requirements and deliverables. Monitoring: Support the configuration, maintenance, and reporting of data pipeline monitoring dashboards and alerts. ESSENTIAL Strong analytical experience working with complex datasets across multiple sources. Proficiency in SQL and modern data analysis tools (e.g., Python, R, Power BI, or equivalent). Experience preparing, validating, and documenting datasets for use in analytical models, dashboards, or production systems. Knowledge of data quality frameworks, data governance practices, and data cleansing techniques. Strong communication skills with an ability to translate technical detail into meaningful insights for business stakeholders. Comfortable working in agile delivery environments and collaborating with engineering teams. OUR VALUES We work together We believe in people We won't accept the 'way it has always been done' We listen to learn We're trying to do the right thing Equal Employment Opportunity Statement Individuals seeking employment at Camlin are considered without regards to race, colour, religion, national origin, age, sex, marital states, ancestry, physical or mental disability, gender identity or sexual orientation.

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. More about our mission and what we offer. Job Description The Recommend team builds and owns the recommendation experience that allows customers to recommend Wise to their friends and family and brings new customers to Wise through the recommendations. From building referral platforms, to creating smooth onboarding experience for referred customers and building reward mechanisms, we own the whole journey until the first international money needs are met. Our team is dedicated to building the best recommendation journey and diverse reward mechanisms to solve customers' first international money needs in a way that's clear, easy and delightful. Our team is diverse and is made of software engineers, data analysts, and designers and more that collaborate on a daily basis to continuously improve customer experience with recommendation journey at Wise. We are looking for an iOS Engineer to help us evolve and scale our recommendation platform and reward mechanisms for our customers all over the world. You will get the opportunity to build the customer experience for referring their friends or family to Wise and to build product experiences that help us shape the first experience of many of our soon-to-be-new customers. You will also own the technical strategy for marketing data attribution, ensuring our growth is measurable and precise, while providing dedicated engineering support to our Affiliates team to expand our global reach through external partnerships. Qualifications We are fully aware that it is uncommon for a candidate to have all skills required and we fully support everyone in learning new skills with us. So if you have some of those listed below and are eager to learn more we do want to hear from you! Experience in building and deploying an iOS app Proficiency in Swift Familiarity with software architectural patterns like MVC, MVVM, or VIPER (We use VIPER and MVVM but are open to exploring new approaches). A strong product mindset and passion for user experience-you prioritise work with users in mind and make data-driven decisions to address user issues. Excellent communication skills and the ability to convey complex, technical concepts to non-technical audiences. Ability to both collaborate effectively with your team and solve problems independently and proactively. You may also have: Experience with SwiftUI Experience with Structured Concurrency Experience with mobile CI pipelines Additional Information What the first six months in this role will look like You'll have onboarded and found your place through understanding your team, squad and guild vision and how you can contribute Understanding the Fintech domain and our tech culture You'll have fully developed new features, from planning to release, and keep monitoring their adoption once live Gone through two quarterly plannings and proposed ideas to take your product further 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.

Anglian Water Group Ltd. is seeking a Data Analyst to provide analytical support for quality and environmental initiatives. This permanent, full-time role is vital for ensuring the delivery of safe drinking water through data insights. The successful candidate will engage with stakeholders to analyze and report on data trends, develop frameworks, and ensure compliance with statutory regulations. A competitive salary, benefits, and opportunities for personal development are part of the position.

Want to help shape decisions with the power of data? Do you want to turn data into insights that make a real difference? Are you ready to use analytics, KPIs and storytelling to solve complex problems for our clients in government, healthcare and purpose-driven businesses? If so, Opencast could be the place for you. We're a growing tech consultancy that creates user centred solutions with purpose. As a Data Analyst, you'll guide better decisions, helping clients to act with insight - and help shape our data practice for the future. The role You'll help clients improve their services by selecting the appropriate techniques to turn data into insights, by working within a product delivery team to develop performance measuring frameworks to track goals, user needs, or KPIs. You'll operate within the client's requirements and the appropriate legal, technical and ethical constraints. Leading by example and promoting Opencast's approach, you'll mentor junior colleagues, provide constructive feedback, and demonstrate an understanding of each product delivery stage and how to apply appropriate measurements for that phase of work. Ensure that work is carried out in accordance with Opencast's quality, environmental, and information security policies and procedures, as well as applicable customer policies, standards, and procedures while working on client. Requirements Experience in delivering digital services for the UK government is highly valuable for many of our projects. Therefore, familiarity with the GDS toolkit will be essential. Due to the nature of this role, applicants must either currently hold active Security Check (SC) Clearance or be eligible to obtain it. Eligibility typically requires UK citizenship and continuous residence in the UK for the past five years, with no single absence exceeding 28 consecutive days. As a result, we are unable to progress applications from candidates who do not meet these requirements. Essential experience Scripting and programming languages such as SQL, Python, R etc Visualising data using Power BI, Tableau, QlikView, Power Query or similar Designed and implemented a performance framework including KPIs or OKRs for a service or product Analytical skills in identifying the right data sources and then validate and understand how to interpret the results Collected, collated, cleansed, and interpreted data to derive meaningful and actionable insights An ability to use the most appropriate medium to visualise data to tell compelling and relevant actionable stories Created hypotheses that can be tested, and developed insights based on your findings Desirable experience Security and data privacy Making recommendations for service changes Experience with the GDS or NHS design principles Salary Consultant salary range: £44,001 - £50,000 per annum What we offer A competitive package including a 7% employer pension contribution, share options and a discretionary bonus. You'll also benefit from flexible working hours (aligned to client commitments), 25 days' holiday, and access to 3 annual "life happens" days to support unexpected situations. We also offer wellbeing support, ongoing professional development, volunteering opportunities and the chance to be part of a genuinely supportive team. Where you'll work This role requires regular on-site attendance across our HQ, hub offices, client sites and home. Applicants must be able to commute to offices and client sites as part of their normal working arrangements, as travel is essential to fulfilling the responsibilities of the role. We include you We welcome candidates from all identities, attributes, ways of thinking and backgrounds to thrive in a career at Opencast. Our aim is for the diversity of our people to be reflected in the solutions we deliver, to help create a fairer society for all. Interview Interviews will be conducted via Microsoft Teams. We're happy to make adjustments to support your needs. Want to know more? Visit our website or email

We are currently partnered with a multi award-winning private bank and wealth manager that delivers a comprehensive international wealth management offering through its wealth planning, investment management, and banking services. Serving both private and business clients worldwide, the organisation is recognised for its commitment to excellence, innovation, and client-focused solutions. The Role This is an exciting opportunity for a data-driven professional to play a key role in transforming data into meaningful business insights. Working closely with business stakeholders, you will gather and understand requirements before modelling data and developing statistical queries, visualisations, and dashboards that provide the evidence and assurance needed to answer critical business questions. A central aspect of the role involves preparing and managing data to support informed decision-making across the organisation. This includes data wrangling, cleansing, enrichment, and assessing data quality, while helping to identify and resolve issues within production and test environments that may impact analysis and reporting outcomes. Responsibilities Data Management & Quality Establish and manage key data management capabilities, including data quality assurance, metadata management, master data management, and data modelling. Support data governance controls and collaborate with business data owners to maintain high-quality data across the organisation. Contribute to data governance and control frameworks that ensure data quality, consistency, and integrity. Document and maintain source-to-target mappings, data flows, and data definitions, ensuring alignment with data standards and strategy. Design and facilitate user self-service solutions for tactical data requests and reporting, working closely with data analysts and business users. Data Insights & Analysis Partner with business stakeholders to understand requirements and translate them into actionable insights, dashboards, and reports. Re-engineer manual data processes to improve scalability and reporting efficiency, collaborating with departments such as IT to enhance data capture within source systems and meet analytical requirements. Develop accessible datasets that support self-service analysis and ensure the organisation has the appropriate data infrastructure to maximise value from its data. Help advance the organisation's analytics capabilities through the use of tools such as Python, PySpark, and Machine Learning, applying statistical techniques to generate deeper business insights. Team Collaboration & Development Collaborate with Data Analysts, business SMEs, and cross-functional teams to support the successful delivery and growth of the data analytics function. Monitor team workflows, resource allocation, and project progress, while supporting the ongoing professional development of team members through training and development initiatives. Skills & Requirements Proven experience in a Data Analyst, data-focused Business Analyst, or similar role. Data modelling experience. Advanced data visualisation and reporting skills, including the creation of Power BI reports and dashboards. Advanced working knowledge of Microsoft Excel. Experience in data cleansing and data enrichment. Advanced knowledge of SQL queries and joins. Knowledge and experience of data governance practices.

Data Engineer - HealthTech - UK Remote (AWS / Databricks / Python / SQL) Job Title: Data Engineer Location: 1-2x/week on-site in Leeds Duration: Until March 2026 Day Rate: £500/day Inside IR35 NHS or Central Gov experience is ESSENTIAL Brio Digital are supporting a HealthTech consultancy who require a Data Engineer to support an ongoing transformation project across NHS data platforms. What You'll Do Design and maintain end-to-end data pipelines within the AWS ecosystem Build reliable data solutions using Databricks, Python, and SQL Integrate and optimise data from diverse sources, including MongoDB Develop and maintain ETL processes for analytical and operational use Implement data quality, governance, and testing frameworks Collaborate with data analysts, scientists, and delivery teams to ensure accessible, trusted data Contribute to the evolution of scalable, cloud-native data architectures What You'll Bring Strong hands-on experience with Python for ETL and data engineering Advanced SQL skills across data modelling, optimisation, and stored procedures Experience with AWS Data Services (e.g., Glue, Redshift, S3, Lambda, Databricks) Familiarity with MongoDB or other NoSQL databases Understanding of modern data architecture and data governance principles Experience with CI/CD, version control, and agile project delivery Strong problem-solving and stakeholder collaboration skills Nice-to-Have Exposure to NHS or healthcare data sources Knowledge of FHIR or other healthcare data standards Experience tuning Spark workloads in Databricks Familiarity with Docker, Kubernetes, or Terraform

(Applicants must be based in the UK and already have the right to work in this country.) Due to continued growth, Fishbone Solutions is looking to strengthen its established team to support the delivery of both existing and new projects. We are seeking a Data Analyst to support the delivery of project management, engineering and assurance programmes, particularly within the UK rail and wider transportation industry. As a Data Analyst, you will support the development of high-quality management information through the creation of Power BI dashboards and analytical solutions. You will work closely with clients and internal teams to understand business requirements, analyse data, and provide actionable insights that support effective project delivery. The ideal candidate will be personable, comfortable communicating with stakeholders, and able to translate technical concepts into clear insights for non technical audiences. As our portfolio of projects continues to grow and our data capabilities expand, this is an exciting opportunity to join a team that is actively developing new analytical solutions and supporting a wide range of projects across transportation, engineering, operations, and programme delivery. The successful candidate will have the chance to contribute to the growth of the team, help shape how data is used across our projects, and play a key role in developing and delivering impactful insights to our clients. What can you expect from this job? Collaborate with clients and internal teams to understand data requirements and provide valuable insights using Power BI. Develop and maintain data models, dashboards and applications using Power BI, including the creation of DAX measures and calculations. Work with clients and stakeholders to gather, validate and refine reporting requirements, ensuring analytical outputs align with project objectives. Conduct data cleaning, transformation and preparation using tools such as Power Query, SQL and Excel to support business intelligence outputs. Use SQL to query, analyse and understand relational datasets, including navigating database schemas and relationships. Support data validation and quality assurance processes to ensure the reliability and integrity of reporting outputs. Communicate analytical findings and insights to clients in a clear and concise manner. Work both independently and collaboratively to deliver work packages to agreed quality, time and budget. Support the delivery of innovative analytical solutions within R&D programmes and client projects. Collaborate with a diverse engineering and project delivery team to develop analytical outputs that support project performance and decision making. Continuously improve data analysis processes and techniques to increase efficiency and quality of work. Work closely with the Business Intelligence Manager to support the development of data analytics capabilities within Fishbone Solutions. Qualifications required A STEM degree is preferred, but relevant equivalent experience will also be considered. Experience working in data analytics, business intelligence or reporting Experience using Power BI for dashboard development and data modelling. Experience engaging with clients or stakeholders to gather and refine reporting requirements. Technical expertise and skills required Experience developing dashboards and reports using Power BI. Strong understanding of DAX measures and calculations. Strong Excel skills, including formulas, structured datasets and analytical techniques. Working knowledge of SQL, including querying relational databases and understanding schema relationships. Knowledge of Python for data processing, automation or integration tasks is desirable. Understanding of data modelling, data transformation and reporting best practices. Ability to interpret complex datasets and translate findings into meaningful insights. Strong documentation and technical report writing skills. Confidence presenting analytical outputs to senior stakeholders and clients. Understanding of AI, machine learning or advanced analytics techniques would be beneficial but is not essential. Knowledge of the UK rail or wider transportation industry would be advantageous but is not essential. Highly desirable There is a strong opportunity within Fishbone Solutions to contribute to the growth of our data and analytics capability while supporting major infrastructure programmes. You will have the opportunity to work with experienced engineering and project teams, delivering insights that directly support client decision making. We are actively seeking candidates with the drive and capability to contribute to this growth and support the continued development of our analytics services. In return, we offer a competitive package and benefits, alongside opportunities for career development and progression within a growing transportation and analytics consultancy.

Senior Data Analyst - International E-commerce (Chinese Speaking) London, United Kingdom (On-site) Industry: International E-commerce Experience Level: Senior Role Overview We are looking for a Senior Data Analyst to support international e-commerce operations in the UK market. In this role, you will translate business logic into structured data frameworks, develop KPI systems, and deliver analytical insights to support strategic decision-making. You will work closely with cross functional teams to monitor platform performance, analyze merchant and product ecosystems, and support growth initiatives. We particularly welcome candidates currently working in large-scale internet platform companies with strong e-commerce ecosystems and international marketplace experience. Key Responsibilities Build and maintain data frameworks and KPI systems to monitor business performance Develop dashboards and analytical reports Analyze data across merchant, product, and content ecosystems Translate business requirements into actionable data insights Monitor marketplace performance and identify growth opportunities Support market growth strategies and operational optimization Collaborate with product, operations, and strategy teams Requirements Important Screening Requirement This role requires candidates who are currently working in a leading internet platform or large scale e commerce ecosystem with extensive experience in platform data analytics. 8+ years of experience in e commerce platform data analysis Strong proficiency in Excel, SQL, Hive, and at least one visualization tool Experience building dashboards and business monitoring systems Ability to translate business needs into data driven frameworks Chinese language proficiency at a professional working level or higher Experience with content driven platforms or communities is a plus Candidate Profile Strong analytical and logical thinking Results driven with strong ownership and accountability Highly self motivated and proactive Excellent collaboration and coordination skills Comfortable working in fast paced international environments List of Advantages Competitive compensation package Opportunity to work in a global e commerce environment Exposure to international market expansion projects Dynamic and fast paced professional environment Salary Range GBP: £130,000 - £238,000 per year

A prominent international e-commerce firm in London is seeking a Senior Data Analyst to support operations in the UK market. This role entails developing data frameworks and KPI systems, translating business logic into data insights, and collaborating with cross-functional teams. The ideal candidate will have 8+ years of experience in data analysis within e-commerce and strong proficiency in Excel, SQL, and Hive. Proficiency in Chinese at a professional level is required, along with skills in dashboard development.

An established analytics consultancy in the UK is seeking a Data Analyst to support the delivery of projects within the transportation industry. The role involves developing Power BI dashboards, analyzing data, and communicating insights with stakeholders. Ideal candidates will have a STEM degree or equivalent experience, strong skills in Power BI, SQL, and Excel, and experience engaging with clients to refine reporting requirements. This position offers competitive compensation and opportunities for career development.

Job Title Technical Data Analyst Company Description Arctal - AI-native data platform reimagining infrastructure for the agentic era Job Description As a Technical Data Analyst at Arctal, you will sit at the intersection of data engineering and AI operations. You will manage a fleet of AI agents to deliver high-quality, reliable datasets at scale for enterprise clients. This role requires a data-obsessed mindset to transform complex ingestion and cleanup workflows into automated, high-fidelity systems. Location London, UK Why this role is remarkable Work at the frontier of AI by managing autonomous agents rather than performing manual data entry or basic dashboarding. Join a high-conviction team in Old Street, London, building the foundational infrastructure that is fundamentally changing what it means to be a data company. Gain significant ownership in an early-stage startup environment where your technical output directly impacts the quality of data delivered to global clients. What you will do Orchestrate and monitor fleets of AI agents to perform complex data extraction, transformation, and distribution tasks. Design and implement rigorous data validation frameworks to ensure the reliability and accuracy of automated agent outputs. Collaborate with the technical team to refine agent prompts and workflows, improving the efficiency of the data wrangling engine. The ideal candidate Possesses 1-5 years of experience in data analysis, data science, or a technical role involving complex data manipulation. Exhibits a deep obsession with data quality and the ability to think programmatically about scaling data cleanup using modern AI tools. Is based in or willing to relocate to London for full-time, in-office collaboration at the Arctal headquarters in Old Street.

Smiths Group plc. is seeking a skilled Data Analyst to design and build interactive Power BI dashboards, develop data models, and deliver ETL processes. The ideal candidate will have extensive experience in data analytics, with strong skills in Power BI, SQL, and DAX. You'll be responsible for ensuring data accuracy and optimizing report performance. Join Smiths Group to tackle complex challenges and contribute to smarter engineering solutions across global markets.

A leading AI data platform in London seeks a Technical Data Analyst to manage AI agents and ensure high-quality data for enterprise clients. The ideal candidate will have 1-5 years of experience in data analysis, a deep obsession with data quality, and the ability to develop automated systems. This role offers a unique opportunity to impact data operations significantly within a startup environment.

We have an exciting opportunity for a Senior Finance Reporting Analyst to join our central Analytics & Insight Chapter and support our Financial Tribe with accurate transactional reporting, so that we can secure loans from our banking partners to purchase handsets. It is an essential and complex role, which requires close understanding of our customer data, attention to detail and a strong use of SQL. Tesco Mobile is an Agile organization, meaning that we work very closely with stakeholders to understand their needs and objectives and then implement appropriate solution. The role also requires close collaboration with internal data analysts and a thorough knowledge of our business fundamentals. Financial reporting is an ever developing area in the Tesco Mobile business, which means you will need to be a problem solver and continually work to improve the way that we report financially, to minimize risk and maintain our reputation with partners and regulatory bodies. About the Analytics & Insight Chapter The Analytics & Insight Chapter sits at the heart of the Tesco Mobile business, providing the business with essential data and insight to drive business decisions, partnering with functions across the business, such as marketing, commercial, digital and channel to understand business needs and then implement solutions. The Analytics & Insight Chapter, is a diverse one covering sales, behavioral, attitudinal, competitor and customer experience datasets, providing us with a holistic view of our customers and the market, which allows us to live out our mission make customers & consumers the focal point of business decisions. We aim to both inform and challenge the business on developing opportunities and threats and proactively unearth insight to improve business strategy and maximize commercial return to the Tesco Mobile business. As a Senior Financial Reporting Analyst you will: Collaborate with the Finance Centre of Excellence to interpret and shape incoming briefs, ensuring all reporting outputs are delivered to an exceptional standard. Contribute as a core member of the Finance Treasury Squad, taking shared accountability for the end-to-end delivery of the reporting backlog. Support wider Finance squads, including Control and Accounting, by providing high-quality reporting, analysis and ad-hoc insights as required. Own the delivery of all prescribed reporting and audits, ensuring flawless accuracy and consistently timely submission to meet the high expectations of strategic and regulatory partners. Participate fully in all squad ceremonies, proactively raising impediments and collaborating to maintain momentum and delivery. Continuously refine and improve your working methods, embracing an inspect and adapt mindset to drive operational excellence. Embody and champion Agile principles, helping to build maturity and strengthen agile culture across Finance and the wider business. Act as an autonomous and trusted decision maker, using your expertise to prioritise effectively and deliver the right solutions for stakeholders. Provide precise, timely and insight-rich analysis, helping the business and its partners understand performance and make informed decisions. Simplify complex topics, generating clear, actionable insights and communicating them with confidence. Serve as a trusted insight partner across multiple squads, developing domain knowledge and identifying opportunities where analytical input can add value. Technical & Data Skills 3+ years' experience in customer data analytics and reporting, working with large, complex datasets. Advanced SQL skills, including writing complex queries against large relational customer databases, identifying relevant data sources and producing accurate, reliable reporting. Experience resolving data-related issues, with the ability to diagnose data quality problems and ensure accuracy. Experience with Python and Power BI (desirable), with the ability to support automation and create intuitive, visually compelling dashboards. Highly numerate, holding a degree in Mathematics, Statistics or another discipline with strong quantitative content. Analytical & Insight Skills Strong problem solving skills, applying a logical and structured approach. Proven ability to turn complex data into clear, actionable insight, with experience creating engaging visualisation. A 50-50 joint venture between Tesco and VMO2 that was established back in 2003, Tesco Mobile has gone from strength to strength as we've launched into new services and markets. With more than 5 million customers, we're the largest mobile virtual network operator in the UK. We're proud to have an inclusive culture that's uniquely Tesco Mobile, with a strong sense of community, plus all the benefits of working for one of the shareholders. We care for human connection and we keep our customers at the heart of everything we do, which is why we've embraced the Agile way of working. Agile is more than just a methodology - it's a liberating journey that puts customers and purpose first. It empowers us to self organise, collaborate, co create and rapidly inspect and adapt everything we do - allowing us to respond at pace to our customers' needs. It encourages variety of thought and enables us to thrive, both individually and collectively. We are proud to have an inclusive culture at Tesco where everyone truly feels able to be themselves. At Tesco, we not only celebrate diversity, but recognise the value and opportunity it brings. We're committed to creating a workplace where differences are valued, and make sure that all colleagues are given the same opportunities. We're proud to have been accredited Disability Confident Leader and we're committed to providing a fully inclusive and accessible recruitment process. For further information on the accessibility support we can offer, please click here. We're a big business and we can offer a range of diverse full-time & part time working patterns across our many business areas, which means that we can find something that works for you. We work in a more blended pattern - combining office and remote working. Our offices will continue to be where we connect, collaborate and innovate. If you are applying internally, please speak to the Hiring Manager about how this can work for you - Everyone is welcome at Tesco.

Lloyds Bank plc is seeking a Data Analyst for its Analytics Lab focusing on delivering data solutions for the Risk Division. The role involves working with large-scale regulatory programs and solving data quality issues in a collaborative environment. The ideal candidate possesses strong analytical skills, familiarity with Agile methodologies, and experience with tools like Google Cloud Platform. The position offers a hybrid work model, combining remote and office work in Leeds.

We have an exciting opportunity for a Senior Finance Reporting Analyst to join our central Analytics & Insight Chapter and support our Financial Tribe with accurate transactional reporting, so that we can secure loans from our banking partners to purchase handsets. It is an essential and complex role, which requires close understanding of our customer data, attention to detail and a strong use of SQL. Tesco Mobile is an Agile organization, meaning that we work very closely with stakeholders to understand their needs and objectives and then implement appropriate solution. The role also requires close collaboration with internal data analysts and a thorough knowledge of our business fundamentals. Financial reporting is an ever developing area in the Tesco Mobile business, which means you will need to be a problem solver and continually work to improve the way that we report financially, to minimize risk and maintain our reputation with partners and regulatory bodies. About the Analytics & Insight Chapter The Analytics & Insight Chapter sits at the heart of the Tesco Mobile business, providing the business with essential data and insight to drive business decisions, partnering with functions across the business, such as marketing, commercial, digital and channel to understand business needs and then implement solutions. The Analytics & Insight Chapter, is a diverse one covering sales, behavioral, attitudinal, competitor and customer experience datasets, providing us with a holistic view of our customers and the market, which allows us to live out our mission make customers & consumers the focal point of business decisions. We aim to both inform and challenge the business on developing opportunities and threats and proactively unearth insight to improve business strategy and maximize commercial return to the Tesco Mobile business. As a Senior Financial Reporting Analyst you will: Collaborate with the Finance Centre of Excellence to interpret and shape incoming briefs, ensuring all reporting outputs are delivered to an exceptional standard. Contribute as a core member of the Finance Treasury Squad, taking shared accountability for the end-to-end delivery of the reporting backlog. Support wider Finance squads, including Control and Accounting, by providing high-quality reporting, analysis and ad-hoc insights as required. Own the delivery of all prescribed reporting and audits, ensuring flawless accuracy and consistently timely submission to meet the high expectations of strategic and regulatory partners. Participate fully in all squad ceremonies, proactively raising impediments and collaborating to maintain momentum and delivery. Continuously refine and improve your working methods, embracing an inspect and adapt mindset to drive operational excellence. Embody and champion Agile principles, helping to build maturity and strengthen agile culture across Finance and the wider business. Act as an autonomous and trusted decision maker, using your expertise to prioritise effectively and deliver the right solutions for stakeholders. Provide precise, timely and insight-rich analysis, helping the business and its partners understand performance and make informed decisions. Simplify complex topics, generating clear, actionable insights and communicating them with confidence. Serve as a trusted insight partner across multiple squads, developing domain knowledge and identifying opportunities where analytical input can add value. Technical & Data Skills 3+ years' experience in customer data analytics and reporting, working with large, complex datasets. Advanced SQL skills, including writing complex queries against large relational customer databases, identifying relevant data sources and producing accurate, reliable reporting. Experience resolving data-related issues, with the ability to diagnose data quality problems and ensure accuracy. Experience with Python and Power BI (desirable), with the ability to support automation and create intuitive, visually compelling dashboards. Highly numerate, holding a degree in Mathematics, Statistics or another discipline with strong quantitative content. Analytical & Insight Skills Strong problem solving skills, applying a logical and structured approach. Proven ability to turn complex data into clear, actionable insight, with experience creating engaging visualisation. A 50-50 joint venture between Tesco and VMO2 that was established back in 2003, Tesco Mobile has gone from strength to strength as we've launched into new services and markets. With more than 5 million customers, we're the largest mobile virtual network operator in the UK. We're proud to have an inclusive culture that's uniquely Tesco Mobile, with a strong sense of community, plus all the benefits of working for one of the shareholders. We care for human connection and we keep our customers at the heart of everything we do, which is why we've embraced the Agile way of working. Agile is more than just a methodology - it's a liberating journey that puts customers and purpose first. It empowers us to self organise, collaborate, co create and rapidly inspect and adapt everything we do - allowing us to respond at pace to our customers' needs. It encourages variety of thought and enables us to thrive, both individually and collectively. We are proud to have an inclusive culture at Tesco where everyone truly feels able to be themselves. At Tesco, we not only celebrate diversity, but recognise the value and opportunity it brings. We're committed to creating a workplace where differences are valued, and make sure that all colleagues are given the same opportunities. We're proud to have been accredited Disability Confident Leader and we're committed to providing a fully inclusive and accessible recruitment process. For further information on the accessibility support we can offer, please click here. We're a big business and we can offer a range of diverse full-time & part time working patterns across our many business areas, which means that we can find something that works for you. We work in a more blended pattern - combining office and remote working. Our offices will continue to be where we connect, collaborate and innovate. If you are applying internally, please speak to the Hiring Manager about how this can work for you - Everyone is welcome at Tesco.

Job Title Data Analyst (Business Intelligence & Analytics), Analytics Lab, Prudential & Analytics Platform Salary £67,023.00 - £74,470 Location(s) Edinburgh, Leeds Hours & Working Pattern Full time. Hybrid working: at least two days per week (or 40%) at an office site. About this opportunity The role is within our Analytics Lab, enabling analytical excellence in the Risk Division by delivering data as products onto the Google Cloud Platform to support our Risk Strategy and Regulatory change agenda. You will work on large scale Regulatory Programmes and fast paced problem resolution alongside Analysts, Engineers and Integrators, following Agile Project Methodology. You will have the opportunity to help overcome longstanding data quality issues and challenges, with some focus on supporting Climate data. Responsibilities Analysis: reviewing or completing technical analysis to inform the direction of major projects, utilising data analysis and visualisation. Data Modelling and Documentation: produce data models, extract, document and validate data requirements and proposed data sources and solutions with customers, including defining acceptance criteria. Testing: support Feature Team with testing preparation and acceptance testing to ensure the solution meets the identified business need. Stakeholder Communication: support customer needs and work with partners to keep project delivery on track. Data Product Governance: ensure proposed solutions align with Group policies and regulatory and statutory requirements, and develop expertise in Data Product Governance. Learn to use the tools of Google Cloud Platform - BigQuery Studio, Dataplex, Looker. Qualifications Great communicator, dynamic and adaptable with a flexible approach, open to learning new skills. Strong analytical and problem solving skills with attention to detail and accuracy. Facilitator, negotiator and decision maker, collaborating across all teams within the Lab. Understanding of Agile methodology. Understanding of data schemas and foundational data engineering principles (e.g. data pipelines, schemas, ETL). Understanding of business analysis methodologies for data products. Experience with analytics tools such as SAS, SQL, Python, or R. Experience with Google Cloud Platform or other cloud platforms for data engineering and analytics is an advantage. Experience working in a regulatory risk change environment is an advantage. Experience in financial services or consultancy environments is preferred. Benefits Generous pension contribution up to 15% Annual performance related bonus Share schemes including free shares Benefits you can adapt to your lifestyle, such as discounted shopping 30 days' holiday plus bank holidays Wellbeing initiatives and generous parental leave policies Diversity & Inclusion We're committed to creating an inclusive workplace that reflects the diversity of the customers and communities we serve.

HR Data Analyst At LCP we love what we do, and it shows. We help our clients make good decisions based on insightful analysis, industry expertise, and game-changing technology. Working across a wide range of sectors, including pensions and benefits, investments, insurance, energy, health, sports, and data analytics, we help our clients navigate complexity in order to take the action that matters. Who are the department and what is the role? We are looking for a pro active HR Data Analyst to join our HR team to take ownership of the organisation's people data, HR systems and reporting ensuring they are accurate, well governed and effectively used to provide meaningful insight. The role will deliver accurate insight that enables better workforce decisions and supports the wider people strategy. This new role strengthens our capability to use people insight to plan, prioritise and measure impact. Working closely with stakeholders, it will also help drive continuous improvement in data quality, reporting and HR systems, contributing to a more consistent and data driven approach across the people function. What will you be doing? Own HR data governance ensuring accuracy, consistency and integrity across HR systems. Support the configuration, maintenance and continuous improvement of the HRIS, including employee/partner and manager self service functionality. Design, build and maintain Power BI dashboards to monitor workforce trends and outcomes, integrating HRIS data with other systems (e.g., recruitment, finance and engagement platforms). Deliver regular workforce reporting and analysis (e.g., headcount, attrition, diversity, absence), along with timely ad hoc reports as required. Partner with the HR Manager, Data Analytics and Insights and business stakeholders to define reporting and analytics needs and deliver appropriate solutions. Promote effective use of people data by supporting and upskilling HR colleagues in the use of dashboards and reporting tools. Identify, investigate and resolve data quality issues working with HR team and system owners to improve data capture and underlying processes. Ensure all employee data is handled in line with GDPR and internal data protection policies, maintaining strict confidentiality and appropriate access controls. Identify and support opportunities to automate HR reporting and data processes to improve efficiency and reduce manual effort. Explore and implement AI and automation solutions to enhance HR operations, reporting and analytics capability. Collaborate with Digital Services and other stakeholders to integrate automation and AI solutions into HR systems and processes. Stay up to date with emerging trends and best practice in HR analytics, AI, automation and HRIS development. What skills, qualities and experience do you need for this role? Degree or equivalent qualification in statistics, mathematics or computer science In depth experience and/or certification in Power BI Substantial, hands on experience of working with HRIS systems, HR reporting and people analytics Practical experience of designing and maintaining Power BI dashboards Strong analytical skills with the ability to interpret complex datasets and translate them into meaningful insights Experience identifying trends, patterns and data quality issues and supporting data driven decision making Strong communication skills, with the ability to explain technical or analytical concepts to non technical audiences Good understanding of GDPR and data protection requirements Proficient in Microsoft Office, particularly Excel Desirable: Experience using DAX, Power Query and data modelling techniques Experience extracting, transforming and combining data from multiple systems Experience supporting HR or workforce related projects Personal Attributes: Hands on and comfortable managing multiple priorities in a fast paced environment. Analytical, structured and solutions focused approach to problem solving. Collaborative team player who can also work independently and take ownership. Builds effective relationships across functions and levels of seniority. Highly organised with strong attention to detail and accuracy. Flexible, pragmatic and able to maintain discretion when handling sensitive data. What's in it for you? We offer an attractive benefits package designed to promote your overall wellbeing so you can perform to your full potential both in and out of work. Currently our core benefits package includes: For you Hybrid working Professional study support (where applicable) Access to our internal Wellbeing, LGBTQ+, Multicultural and Women's networks For your family Life assurance Income protection Enhanced maternity, paternity, adoption and shared parental leave For your health 26 days annual leave (pro rated for part time working) plus bank holidays (flexible) Private medical insurance Discounted gym memberships, critical illness and dental insurance through our flexible benefits Eye care vouchers Cycle to work scheme Digital GP services For your wealth Competitive pension scheme Discretionary bonus scheme High street discounts Season ticket loans For others Volunteering opportunities For the environment Electric vehicle salary sacrifice scheme (qualifying period applies) We continuously strive to build an inclusive workplace where all forms of diversity are valued, including age, background, disability, gender, gender identity, gender expression, race, religion or sexual orientation.

Stryker Corporation in Winchester is seeking a proactive HR Data Analyst to take ownership of the organisation's people data and HR systems. The role focuses on ensuring data accuracy and governance, driving improvements in reporting and analytics. The ideal candidate will have strong analytical skills, experience in Power BI, and a degree in statistics or a related field. This position offers a hybrid working model and a comprehensive benefits package.