27 jobs found

Location: London (Greenford, West London OR Stratford, East London), or Manchester, or Leeds campus Type of Contract: Permanent Working Pattern: Full Time - 40hrs Per Week Salary Information: Competitive GBS is a higher education provider offering a range of sector-relevant courses across ten campuses in London, Birmingham, Leeds and Manchester. Working in partnership with several of the UK's leading higher education providers, we deliver vocational, undergraduate and postgraduate programmes in finance, accounting, business, construction, tourism, healthcare, and more. Our Vision: Changing lives through education. ROLE PURPOSE As a Senior Analyst you will report to the Data and Business Intelligence Manager. The Data and Information team is responsible for centralised reporting at Global Banking School. The team supports internal and external reporting, providing data and analytics to senior management to aid business decision making. It also supports business operations is daily tasks and KPI reporting. As Senior Data & Insight Analyst, you'll play a crucial role in delivering high quality data and insights that support the performance and objectives of GBS. You will provide timely and accurate reports to the business ensuring compliance with regulatory requirements. ROLE and RESPONSIBILITIES Play a significant role the data team in managing new data projects from end-to-end, representing the data team in gathering requirements through to developing and implementing new reports. Engage with stakeholders to validate their requirements, review policies/procedures and present solution options Challenge the "Status Quo" continually seeking more efficient ways to drive meaningful actions and improvements Extract, prepare and collate raw data from multiple internal and external sources and analyse, interpret and edit data to produce customised reports. Manage and develop the delivery of interactive products including interactive dashboards, analytical tools, as well as statistical analysis and insight. Lead the team to design and implement surveys across the organisation and complete the analysis of survey outcomes. Responsible for monitoring data quality, data integrity and data governance Develop reports for internal and external audiences using appropriate reporting tools, including Excel and Power BI Work with and support colleagues across the organisation, building new & improving the existing data dashboards, graphs and visualisations. Maintain a good understanding of relevant policy and legislation in relation to information governance, security, and compliance Essential Skills and Experience Detailed knowledge of statistical techniques and data modelling Profound understanding of relational database architecture and querying methodologies. Experienced of handling and amalgamating diverse data-sets from various sources. Demonstrated expertise in T-SQL for data querying and transformation. Confidence in building relationships with internal and external stakeholders, with the ability to communicate complex data capability in a way which fully engages them in the services the Data and Information team provide Extensive experience in creating reports using Power BI and proficiency in utilising DAX. Experience of coaching and mentoring, with a willingness to share knowledge and skills Experience working in Higher Education Strong knowledge of Python Strong knowledge of Machine Learning What We Offer 25 days annual leave, plus 8 public holidays 1-day extra leave per year of service, up to a maximum of 5 days Flexible Benefits: Cycle to Work, Workplace Nursery, Techscheme and much more discounts platform, wellbeing centre and much more Reward and recognition programme £500 award employee referral scheme Discretionary annual performance bonus GBS is committed to equality, diversity and inclusion and providing a workplace free from discrimination or harassment. We welcome applications from all backgrounds and communities. We take our core values seriously and work hard to create an environment where everyone feels welcomed.

Lead Associate - Consumer Intelligence & Analytics (5 month FTC) Lead Associate - Consumer Intelligence & Analytics (5 month FTC) Role responsibilities Develop and deliver a Consumer Insight strategy for the FCA, including a target operating model aligned to stakeholder needs. Design and enhance analytical products, adding creativity and value. Manage 2-3 Analysts/Senior Analysts, supporting their development through coaching and mentoring. Contribute to the Consumer Intelligence & Analytics (CI&A) management team, supporting initiatives, resource planning, and prioritisation. Conduct qualitative and quantitative analysis, including data manipulation and visualisation. Engage stakeholders to understand needs and promote the use of data and analytical tools. Support requirements gathering and solution design to deliver insights on consumers and markets. Apply design thinking to solve problems and ensure value driven solutions. Work closely with experts and analysts to define project goals and deliver outcomes. Collaborate to identify business challenges where data and insight can support better outcomes. Skills required Extensive experience in data analytics, using tools such as Python, SQL, and Tableau to deliver impactful insights and solve business problems. Demonstrated ability to lead and develop teams of analysts, with responsibility for team leadership and individual development. Experience working with qualitative and quantitative data, delivering and overseeing analysis in a variety of formats. Solid people management and coaching skills, with the ability to support and develop others. Effective organisational skills, with the ability to prioritise and manage both individual and team workloads. Clear and professional communication skills, with the ability to build and manage stakeholder relationships. Experience engaging stakeholders to define requirements, use cases, and priorities. Demonstrated ability to collaborate across teams, building connections to deliver shared outcomes. Ability to plan, allocate tasks, and deliver practical, high value outputs while tracking progress and managing risks. A curious and methodical mindset, with good problem solving skills. 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 presence each month. A flexible benefits scheme designed around your lifestyle. We are a Disability Confident Employer, and we welcome applications from individuals with disabilities or long term conditions who best meet the minimum criteria for this role.

Senior Analytics Engineer - UK We are looking for a Senior Analytics Engineer to join our UK Engineering team. You will collaborate with Data Engineers, Data Analysts, and Software Engineers to design, build, and maintain analytical data models within our data warehouse. Reporting to an Engineering Manager, you will be a key contributor as we develop Immersive One platform, shaping future products across our entire system landscape. Responsibilities Design, build, and maintain high quality datasets for engineering and reporting. Collaborate with engineers to assess and mitigate the impact of upstream product changes. Apply domain knowledge to develop semantic layers for business intelligence. Develop data models optimized for efficient querying over large datasets, especially for reports embedded within the main platform. Lead initiatives on data quality, observability, and model optimisation. Qualifications Proficient in transforming, testing, and documenting data while maintaining robust data lineage. Knowledgeable in data modelling, access, and storage techniques. Experience following software engineering best practices such as version control and continuous integration. Strong proficiency using SQL in cloud data warehouses (Snowflake), comfortable with performance optimisation, data partitioning, and window functions. Ability to operate effectively and autonomously across multiple teams in ambiguous situations. Experience with dbt for data transformation layer. Experience with BI tooling such as Power BI or Looker. Experience with AWS, Azure, or GCP is a plus. Values Driven - push boundaries to achieve ambitious outcomes. Inclusive - foster a culture where every individual contributes. Customer centric - build deep relationships to support customer success. One Team - collaborate globally, resilient in adversity. Benefits Time off, flexible and remote working, 25 days annual leave + 2 volunteering days and your birthday off. Additional holiday days up to 30 after five years of service. Enhanced parental leave, mindfulness groups, critical illness cover, 7 % matched pension, private healthcare plan. Career and learning development, professional development fund, 'Learn Anything' fund. Recognition & rewards for living values and behaviours. Flexible working options, e.g., flexible start/finish times, reduced hours. Vibrant team culture with events such as pottery painting, paper mask making, dungeons & dragons. Easy access to UK hub - Bristol centre, 10 minute walk from train station; railcard loan and cycle scheme. We encourage people of all different backgrounds and identities to apply. We are committed to maintaining an inclusive, supportive place for you to be yourself and do your very best work.

Senior Analytics Engineer (Healthier Futures) The closing date is 12 June 2026 We are looking for a highly motivated and technically skilled Senior Analytics Engineer to join our Information Services department at Mid Cheshire Hospitals NHS Foundation Trust. This is an exciting opportunity to take the lead for Healthier Futures data and reporting requirements, delivering the full lifecycle of data and analytics products that help our clinicians and managers make informed, data-driven decisions. You'll work across our Data Warehouse and Business Intelligence Development teams, leading the design, development, and maintenance of data models, dashboards, and reports using SQL Server and Power BI. The role combines hands on technical delivery with leadership and collaboration, contributing to improved data quality, governance, and continuous improvement across the Trust. Experience of cloud based data engineering and modern analytics platforms, with knowledge of Microsoft Fabric (including OneLake, Data Factory pipelines, Lakehouse/Warehouse architecture and notebooks), Azure data services, and an awareness of scalable data platform design and advanced analytics capabilities is desirable. Main duties of the job Lead on data and analytics delivery for Healthier Futures, working collaboratively with analysts, developers, and performance teams. Work with the Data Engineering team to design, build, and optimise data models and pipelines for performance and scalability. Design, build, and maintain high quality Power BI dashboards, data models, and reporting solutions that provide clear, actionable insights. Work with the Data Warehouse team to optimise queries, validate ETL processes, and maintain the Trust's data warehouse. Ensure data quality issues are identified and highlighted through reporting processes, working with Data Quality Leads and operational teams to ensure issues are corrected at source. Collaborate with clinical and corporate teams to ensure analytics products support national submissions and local performance priorities. Lead service area Data Governance Group meetings, recording and monitoring actions, risks, and issues. Share knowledge and best practice to build resilience across the team and support the Trust's data improvement agenda. Occasionally support early morning or out of hours monitoring of data warehouse loads as part of a rota arrangement. About us Mid Cheshire Hospitals NHS Foundation Trust provides comprehensive hospital and community services for East Cheshire (population 399K) and West Cheshire and Chester (population 357K). Our services include planned and unplanned/emergency care, cardiac and critical care, child health, maternity, and intermediate care across Leighton Hospital in Crewe, Victoria Infirmary in Northwich, and Elmhurst Intermediate Care Centre in Winsford. Through our community arm, Central Cheshire Integrated Care Partnership, we deliver extensive services in 26 medical centres and schools in collaboration with Cheshire and Wirral Partnership NHS FT and the South Cheshire and Vale Royal GP Alliance. With 500 beds and around 5,500 staff, we are one of the area's largest employers. Since the formation of Integrated Care Systems in July 2022, the Trust has become a key partner in Cheshire East & Cheshire West and Chester and in two provider collaboratives, aligning our strategic goals with the Cheshire & Merseyside Integrated Care System. As part of the national New Hospital Programme, we're reimagining Leighton Hospital to create a new health and care neighbourhood, transforming healthcare delivery for a Healthier Future. Learn more on our Healthier Futures website. At Mid Cheshire, our mission is to inspire hope and provide unparalleled care for the people and communities of Cheshire, helping them to enjoy life to the fullest. Job responsibilities Project Leadership and Engagement Act as the lead point of contact for data and analytics for the allocated service area (Healthier Futures). Build and maintain effective relationships with clinicians, managers, and corporate colleagues to understand and translate business requirements. Lead the development of data and analytics solutions, managing requirements end to end. Work with analysts to ensure they have the data needed for operational and strategic reporting. Collaborate with performance teams to ensure BI products support national submissions, compliance with standards, and the Trust's data quality agenda. Agree development ownership, deliverables, and responsibilities for new solutions with colleagues in BI, Digital Services, and wider teams. Initiate work by profiling data, identifying solutions, presenting options, proof of concepts, and translating service needs into technical terms. Apply Agile delivery methods (Scrum, DevOps) and project management techniques. Plan and execute testing (unit, integration, acceptance) to ensure quality and accuracy of all outputs. Data Warehouse/Date Engineering Support the maintenance and integrity of the Trust's data warehouse and reporting infrastructure, including monitoring, troubleshooting, and performance tuning. Participate in the out-of-hours rota for monitoring data warehouse processes and troubleshooting issues. Work with the Data Engineering team to design, build, and optimise data models and pipelines for performance and scalability. Validate ETL processes, including during source system software upgrades, to ensure continuity and data integrity. Design and maintain the reporting layer, including dimensional modelling, to support efficient and reusable analytics. Apply expert T SQL and SQL Server skills for query optimisation and advanced data manipulation. Support the adoption of automation, APIs, and modern data platform techniques. Accountable to the Data Warehouse Manager. Dashboard Development (Power BI) and Analytics Design, develop and maintain advanced dashboards and reporting suites using the Trust's software (Power BI), adopting all available functionality such as data models, drill-throughs, apps, and self-service features. Apply strong knowledge of DAX and Power Query for data transformation, advanced calculations, and performance optimisation within Power BI. Support and leverage wider technologies, including Microsoft Forms, Power Automate, and Power Platform tools, to enhance efficiency. Incorporate benchmarking and comparative analysis into reports and dashboards. Ensure that BI products are user centred, accurate, and aligned to Trust standards. Ensure dashboards support the identifying and monitoring of activity to support digital and operational transformation projects. Accountable to the Principal BI Developer. External Engagement & Continuous Improvement Represent the department at internal, regional and other external NHS data and analytics forums. Share best practice across the department and with other NHS trusts, learning from others to improve local approaches. Keep abreast of national NHS data developments, policy changes, and best practice. Ensure that data quality issues are effectively identified, highlighted, and reported through dashboards, validation processes, and automated checks. Work closely with Data Quality Leads and operational teams to ensure issues are understood, prioritised, and corrected at source. Support the development of processes that embed data quality monitoring within routine reporting and governance structures. Contribute to the implementation of advanced analytics methods such as predictive analytics, modelling including AI, Python, and R, to help drive innovation. The postholder will be line managed by the Principal BI Developer and will work closely with the Data Warehouse Manager and other members of the Data teams. Person Specification Education/Qualifications Masters degree in relevant subject (Data science, computing, Mathematics, Health Informatics) Business Analysis Certification Evidence of continuing development in data and analytics Relevant Microsoft accreditation (Power BI, Data Engineering, SQL Server). Formal qualification in Health Informatics / Business Intelligence. Previous Experience Significant experience in data engineering (SQL, ETL, data warehouse) and/or BI development (Power BI, SSRS, Tableau). Experience with large, complex healthcare datasets. Experience working with analysts, performance teams, and IT. Experience representing department at external groups. Experience of cloud-based data engineering and modern analytics platforms. Experience leading a defined service area data function. Experience in benchmarking and supporting national submissions. Skills/Knowledge Expert T SQL and SQL Server skills, including query optimisation and performance tuning. Strong knowledge of Power BI, DAX, Power Query, dimensional modelling, and reporting layer design. Knowledge of NHS datasets, data definitions, and data governance. Ability to design dashboards and reporting suites with advanced functionality. Understanding of SDLC, version control, peer review, documentation, and change management. Knowledge of Microsoft Fabric including OneLake, Data Factory pipelines, Lakehouse/Warehouse architecture . click apply for full job details

The team The Data Engineering team is responsible for designing, building and running the complex data pipelines that the bank relies on. We combine skills in software engineering, data analysis and operations and partner with teams across the company to solve varied, challenging problems. We value collaboration, pragmatism and continual learning over individual heroics. A day in the life You'll collaborate to design and build resilient data pipelines and warehouse solutions, owning their quality, reliability and end to end delivery. Requirement gathering with product teams, analysts and business stakeholders inside and outside the team, through pairing and peer reviewing on tasks, to develop tested, well documented data workflows running in production. Ensuring data architecture and modelling decisions are documented and understood, taking an active part in the team's operational responsibilities. Have a voice in all our ceremonies from retrospectives, refinement sessions, architectural planning sessions through to social activities, helping to shape how we work and continuously improve our data capabilities. We take development seriously: engineers are expected to keep learning, and we actively support time spent improving skills and deepening expertise. About you You love shipping great data products and reliable pipelines, not just writing elegant code. You are an experienced Senior Data Engineer, who works with Python and SQL, and is comfortable designing and building data pipelines end to end. As an engineer, you're interested in the business questions behind the data, not just the technical requirements. You feel comfortable in a fast moving environment and are ambitious about the speed, reliability and observability of your data workflows. You care deeply about data quality, testing and documentation, and take a systematic approach to ensuring trustworthy, well modelled datasets. You've worked on large scale data platforms or warehouses, with proven experience handling complex data models and high volume datasets in production. You enjoy partnering with analysts, analytics engineers and product teams, and you're motivated by enabling others to make better decisions with data. You are comfortable with ambiguity in a rapidly evolving environment, and are excited by evolving architectures and technologies. You are a team player who thrives in a humble, supportive environment, are happy to pair and help others, and are just as comfortable asking for help yourself. Added bonus Experience of data engineering/analytics in a regulated environment - e.g. finance, retail or healthcare. Hands on experience of technologies such as AWS, Terraform, Spark, DBT or Airflow. Exposure to Databricks or Snowflake. At Zopa we value flexible ways of working This hybrid role requires you to come to our London office 2 3 days a week. You'll also have the option of working from abroad for up to 120 days a year (subject to having the right to work in the country of choice). We value face to face collaboration and a good work life balance. Diversity Statement Zopa is proud to offer a workplace free from discrimination. Diversity of experience, perspectives and backgrounds leads to better products for our customers and a unique company culture for our people. We are made up of nearly 50 nationalities, have a DE&I forum made up of Zopians wanting to make a difference and we are proud of our culture where everyone can bring their full self to work. Our approach to DE&I is reflected in our hiring process so please let us know if you require any reasonable adjustments.

# Junior Data Analyst (Temp June-Sept 26) Data and Analytics Junior Data Analyst (Temp June-Sept 26)Sheffield City Centre (fully office-based) £25,878 - £30,000 pa pro rata DOE Fixed-term (early June 2026 - 25th September 2026) UniHomes is looking for a Junior Data Analyst to join the Data team on a temporary basis and help us progress a backlog of analytical projects that will materially improve how we understand utility consumption, pricing assumptions and property level performance. This is a hands on analytical role with real visibility. You'll work on a defined set of self contained projects, with prepared datasets supplied by the existing team and senior validation of every output before it is used. You won't need to navigate the full UniHomes data stack - the focus is on doing thoughtful, well documented analysis on data that has been pre prepared for you. The projects you'll lead on are quantitative in nature: understanding the relationship between weather and energy usage, improving annual consumption assumptions, modelling how consumption phases across the year, building an initial view of water usage, and testing whether square footage is a better predictor of energy use than bedroom count. Each project has a clearly defined question, output and reviewer. Reporting into the Head of Commercial Strategy, Performance and Data and working day to day with our senior data and utilities team, you'll be supported through weekly check ins, structured briefs and clear documentation expectations. This is an excellent first, fixed term role for a quantitative graduate or penultimate year student who wants to see how data analysis directly supports commercial decision making. Key responsibilities: Lead delivery of a defined set of analytical projects, including weather to usage correlation, annual gas and electric consumption assumptions, usage curves, water usage assumptions, and square footage vs energy use. Work with pre prepared datasets provided by the senior team - no direct work in Snowflake, Salesforce, Tableau or dbt required. Test relationships in the data and produce clear, evidenced outputs - segmented where data allows by group size, EPC, heating type, location and property type. Document methodology, assumptions, sample sizes, exclusions and limitations for every piece of analysis. Label outputs clearly as exploratory, validated, recommendation or operational, and route them to the named senior reviewer before use. Attend weekly check ins to share progress, raise data issues and surface early findings. Save working files and methodology notes so analysis can be picked up later by the permanent team. Provide clear, written hand over of completed projects at the end of the contract. Skills and experience: Recent graduate or penultimate/final year undergraduate in a quantitative discipline - Mathematics, Statistics, Data Science, Data Analytics, Economics (quantitative pathway), Physics, Engineering, Energy Studies, Environmental Science, Computer Science (analytics focus), Actuarial Science or similar. Confident with Excel or Sheets; exposure to SQL or Python is desirable but not essential. Comfortable testing relationships in structured data and presenting findings clearly. Strong attention to detail and a habit of documenting what you've done and why. Curious, organised and willing to ask questions when something doesn't look right. Interest in utilities, property, energy data or the student housing sector is desirable but not essential. About us: At UniHomes, we're on a mission to transform the entire student rental experience across the UK. As the market-leading student accommodation advertising platform and utility management service provider, we make finding and securing all-inclusive student accommodation simple, seamless, and stress-free. We're not just another platform. UniHomes is developing innovative technology to deliver one go-to destination that supports the entire student rental journey. With an unwavering focus on our students, partner letting agents, operators and suppliers, we continually evolve and enhance our products and services to exceed expectations, while tackling market complexity with ease and transparency. Since launching in 2015, we've experienced rapid growth. Today, we operate in 60+ cities, partner with 1,000+ agents and operators, and are backed by Macquarie Capital and LDC. Our success has been recognised with accolades from EY Entrepreneur of the Year, Deloitte UK Technology Fast 50, The Negotiator Awards, and Great Place to Work certification. Our 140+ strong team is based in the heart of Sheffield City Centre, where we're driving innovation, expanding into new markets, and fostering a culture built on collaboration, creativity, and growth. If you're ready to make a meaningful impact and help redefine how students find their perfect home, now is the time to join UniHomes. Be part of a team that's opening new doors to better experiences, brighter ideas, and stress-free living. We are a team driven and united by our core values: Lead the Way In it Together Customers Matter Keep it Simple Rise Above Challenges Make it Happen What do you get when you work here? With people and culture at the heart of our organisation, we are continually enhancing our employee offer and culture. We are incredibly proud to have been officially certified as a Great Place to Work (GPTW) and an accredited Living Wage employer - all our employees earn a fair living wage above the government minimum wage.Working in our stunning new office at New Era Square in the centre of Sheffield, you will get complimentary breakfast, hot & cold drinks, snacks, pool table, holidays, length of service days, voluntary day, enhanced pension scheme, pension salary sacrifice scheme, healthcare scheme, Employee Assistant Programme, sick pay, enhanced maternity & paternity pay, career progression, a commitment to personal and professional development, employee awards, refer a friend scheme, staff discounts, mental health and financial support, and company social events.At UniHomes we are committed to fostering an inclusive and diverse workplace where everyone can thrive and which values individuals for their unique perspectives. We welcome candidates from all backgrounds, regardless of age, disability, gender reassignment, marriage and civil partnership, pregnancy and maternity, race, religion or belief, sex, or sexual orientation.Please let us know if you require any reasonable adjustments to make the recruitment process more accessible to you.Applicants for permanent roles must already have the permanent and unrestricted right to work in the UK. Unfortunately, we are unable to offer visa sponsorship as we do not hold a sponsor licence.We want to hear your unique voice in your application. We love AI, but relying on it solely to write your cover letter and answer the application questions is a missed opportunity to showcase the originality and personality that will make you stand out. Please show us the real you.We do not accept CV submissions from recruitment agencies. Direct applications from individual candidates are encouraged. Thank you for your understanding.

Senior Data Engineer Department: Technology: Data Technology Employment Type: Permanent - Full Time Location: London or Manchester UK Description The Senior Data Engineer will work as part of an Agile delivery squad with other data engineers and senior data engineers. The role involves delivering data engineering on a range of data products for use in insight, reporting and analytics, including AI. The position works closely with product owners, business analysts, data architects, data analysts, delivery project managers and data scientists. Key Responsibilities Managing quality of own and teams' outputs Delivering data engineering on a range of complex marketing and research processes Working with clients to understand needs and implement technology solutions Working with a range of data sources such as CRM, sales, research and HR data Building Single Customer Views, CDPs or Data Warehouses/Data Lakes to merge disparate data sets for marketing or sales activation Building and configuring data ingestion methods from APIs, flat files, streaming, public data sources and survey data Skills, Knowledge and Expertise Must have experience of using Azure or AWS Databricks and Medallion architecture Expert experience with Azure Data Factory or Python/Airflow and associated libraries for data processing and manipulation Experience with a range of database technologies including Azure SQL, SQL Server, Azure Data Lake, PostgreSQL, Snowflake, MySQL, Cosmos DB or Mongo DB Understanding of Azure DevOps and CI/CD processes Knowledge of data warehouse or data lakes with SCVs or in conjunction with CDP platforms Knowledge of data ingestion of streaming data using Databricks and PySpark Understanding and application of statistical methods Ability to lead, and to work well as part of, a team using the agile methodology A growth mindset AI curious and ready to embrace opportunities Desirable Skills Palantir Foundry (Pipeline Builder) experience Knowledge of ELT/ETL tools such as Informatica DEI/BDM and Talend beneficial Experience mentoring junior to mid-level Data Engineers beneficial Benefits Holiday entitlement of 28 days with the option to buy/sell up to 5 days (3 days held for Christmas holidays) Day off on or in the week of your birthday Pension eligibility with up to 5% matched contributions Private healthcare Life assurance Enhanced maternity and paternity and shared parental leave Cycle to work schemes Gym and retail discounts Regular social events and activities A range of other benefits from a flexible benefits package Equal Employment Opportunity We're committed to equality of opportunity for all, and we actively seek applications from all ethnicities, orientations, beliefs, gender identities and those with neurodiverse traits and disabilities. We want you to have the best opportunity to demonstrate your abilities.

# Junior Data Analyst (Temp June-Sept 26) Data and Analytics Junior Data Analyst (Temp June-Sept 26)Sheffield City Centre (fully office-based) £25,878 - £30,000 pa pro rata DOE Fixed-term (early June 2026 - 25th September 2026) UniHomes is looking for a Junior Data Analyst to join the Data team on a temporary basis and help us progress a backlog of analytical projects that will materially improve how we understand utility consumption, pricing assumptions and property level performance. This is a hands on analytical role with real visibility. You'll work on a defined set of self contained projects, with prepared datasets supplied by the existing team and senior validation of every output before it is used. You won't need to navigate the full UniHomes data stack - the focus is on doing thoughtful, well documented analysis on data that has been pre prepared for you. The projects you'll lead on are quantitative in nature: understanding the relationship between weather and energy usage, improving annual consumption assumptions, modelling how consumption phases across the year, building an initial view of water usage, and testing whether square footage is a better predictor of energy use than bedroom count. Each project has a clearly defined question, output and reviewer. Reporting into the Head of Commercial Strategy, Performance and Data and working day to day with our senior data and utilities team, you'll be supported through weekly check ins, structured briefs and clear documentation expectations. This is an excellent first, fixed term role for a quantitative graduate or penultimate year student who wants to see how data analysis directly supports commercial decision making. Key responsibilities: Lead delivery of a defined set of analytical projects, including weather to usage correlation, annual gas and electric consumption assumptions, usage curves, water usage assumptions, and square footage vs energy use. Work with pre prepared datasets provided by the senior team - no direct work in Snowflake, Salesforce, Tableau or dbt required. Test relationships in the data and produce clear, evidenced outputs - segmented where data allows by group size, EPC, heating type, location and property type. Document methodology, assumptions, sample sizes, exclusions and limitations for every piece of analysis. Label outputs clearly as exploratory, validated, recommendation or operational, and route them to the named senior reviewer before use. Attend weekly check ins to share progress, raise data issues and surface early findings. Save working files and methodology notes so analysis can be picked up later by the permanent team. Provide clear, written hand over of completed projects at the end of the contract. Skills and experience: Recent graduate or penultimate/final year undergraduate in a quantitative discipline - Mathematics, Statistics, Data Science, Data Analytics, Economics (quantitative pathway), Physics, Engineering, Energy Studies, Environmental Science, Computer Science (analytics focus), Actuarial Science or similar. Confident with Excel or Sheets; exposure to SQL or Python is desirable but not essential. Comfortable testing relationships in structured data and presenting findings clearly. Strong attention to detail and a habit of documenting what you've done and why. Curious, organised and willing to ask questions when something doesn't look right. Interest in utilities, property, energy data or the student housing sector is desirable but not essential. About us: At UniHomes, we're on a mission to transform the entire student rental experience across the UK. As the market-leading student accommodation advertising platform and utility management service provider, we make finding and securing all-inclusive student accommodation simple, seamless, and stress-free. We're not just another platform. UniHomes is developing innovative technology to deliver one go-to destination that supports the entire student rental journey. With an unwavering focus on our students, partner letting agents, operators and suppliers, we continually evolve and enhance our products and services to exceed expectations, while tackling market complexity with ease and transparency. Since launching in 2015, we've experienced rapid growth. Today, we operate in 60+ cities, partner with 1,000+ agents and operators, and are backed by Macquarie Capital and LDC. Our success has been recognised with accolades from EY Entrepreneur of the Year, Deloitte UK Technology Fast 50, The Negotiator Awards, and Great Place to Work certification. Our 140+ strong team is based in the heart of Sheffield City Centre, where we're driving innovation, expanding into new markets, and fostering a culture built on collaboration, creativity, and growth. If you're ready to make a meaningful impact and help redefine how students find their perfect home, now is the time to join UniHomes. Be part of a team that's opening new doors to better experiences, brighter ideas, and stress-free living. We are a team driven and united by our core values: Lead the Way In it Together Customers Matter Keep it Simple Rise Above Challenges Make it Happen What do you get when you work here? With people and culture at the heart of our organisation, we are continually enhancing our employee offer and culture. We are incredibly proud to have been officially certified as a Great Place to Work (GPTW) and an accredited Living Wage employer - all our employees earn a fair living wage above the government minimum wage.Working in our stunning new office at New Era Square in the centre of Sheffield, you will get complimentary breakfast, hot & cold drinks, snacks, pool table, holidays, length of service days, voluntary day, enhanced pension scheme, pension salary sacrifice scheme, healthcare scheme, Employee Assistant Programme, sick pay, enhanced maternity & paternity pay, career progression, a commitment to personal and professional development, employee awards, refer a friend scheme, staff discounts, mental health and financial support, and company social events.At UniHomes we are committed to fostering an inclusive and diverse workplace where everyone can thrive and which values individuals for their unique perspectives. We welcome candidates from all backgrounds, regardless of age, disability, gender reassignment, marriage and civil partnership, pregnancy and maternity, race, religion or belief, sex, or sexual orientation.Please let us know if you require any reasonable adjustments to make the recruitment process more accessible to you.Applicants for permanent roles must already have the permanent and unrestricted right to work in the UK. Unfortunately, we are unable to offer visa sponsorship as we do not hold a sponsor licence.We want to hear your unique voice in your application. We love AI, but relying on it solely to write your cover letter and answer the application questions is a missed opportunity to showcase the originality and personality that will make you stand out. Please show us the real you.We do not accept CV submissions from recruitment agencies. Direct applications from individual candidates are encouraged. Thank you for your understanding.

London, Birmingham or Bristol About the role We are looking for an experienced Agile Delivery Lead to drive high quality delivery across our analytics data and self serve reporting teams. This role sits at the heart of our transformation, ensuring smooth delivery of initiatives such as automated reporting, GCP re architecture, data product enhancement, and operational change. You will lead Agile delivery for a cross functional squad (engineers, analysts, data modelers, QA, and offshore colleagues), ensuring the team is focused, aligned, and able to deliver outcomes efficiently. You will remove impediments, manage dependencies across BT and vendor teams, and support a culture of continuous improvement and accountability. This role is central to helping us standardise processes, improve velocity, and ensure high quality delivery across our data estate. What you'll be doing Delivery Leadership Own day to day delivery of data analytics workstreams across onshore and offshore teams. Manage sprint ceremonies (planning, stand ups, refinement, retrospectives) and maintain a healthy backlog in partnership with Product Owners. Create and maintain delivery plans, sprint forecasts, risk logs, and dependency maps across multiple squads and parallel initiatives. Track delivery progress against KPIs, milestones, and outcomes, escalating blockers early. Team Enablement & Flow Ensure the team is operating effectively and efficiently, optimising flow of work and removing bottlenecks. Champion Agile ways of working while adapting pragmatically to the realities of a complex data landscape. Monitor capacity across onshore and offshore resources and ensure tasks are aligned to the right skills at the right time. Maintain a stable heartbeat of delivery even when dealing with technical debt, re architecture activities, or urgent production issues. Stakeholder & Cross Team Collaboration Act as the delivery interface between the analytics data and visualisation team and business stakeholders. Work closely with data domains, architecture and dependent CFUs to manage cross team dependencies. Communicate delivery status, risks, and trade offs clearly and concisely to senior stakeholders. Support Strategic Programmes & Change Coordinate delivery of major initiatives, including: Reporting automation programme Self serve reporting improvements (Qlik SaaS, Looker, Power BI) Data platform re architecture on GCP Migration of legacy pipelines to strategic sources Ensure operational readiness, documentation, and handover into KTLO (keep the lights on) support. Governance, Quality & Standards Uphold data engineering standards, definition of done criteria, and quality gates across the lifecycle. Ensure documentation is captured for new data products, pipelines, dashboards, and design decisions. Drive continuous improvement through retrospectives, delivery analytics, and feedback loops. Essential Skills / Experience Strong experience as a Scrum Master, Delivery Lead, or Agile Project Manager within data focused teams. Knowledge and working experience of Jira and Confluence and the ability to create bespoke structures of reporting. Comfortable discussing data lineage, SLAs, dependencies, technical design decisions, and quality controls. Expertise in Agile methodologies (Scrum, Kanban) adapted for data engineering and analytics environments. Strong negotiation skills, particularly in managing offshore vendors, resource requests, and delivery expectations. Desirable Skills / Experience Exposure to AI technologies and an understanding of how they can add value across the team. Our Package Tailored benefits make a real difference. That's why we offer a comprehensive range to support your growth, wellbeing, and everyday life. You can design the package to suit you and your lifestyle. Your core benefits include: 10% on target annual bonus Access to an online private GP 24/7 for you and your immediate family Market leading paid carers leave with up to 2 weeks off Equalised maternity, paternity, and adoption leave - 18 weeks' full pay and 8 weeks' half pay Discounted EE and BT products, including mobile and broadband Market leading Pension scheme - 5% from you and 10% from us Holiday purchase scheme You can select additional benefits, including healthcare, dental, gym memberships and more when you're ready.

Overview We tackle the most complex problems in quantitative finance, by bringing scientific clarity to financial complexity. From our London HQ, we unite world class researchers and engineers in an environment that values deep exploration and methodical execution - because the best ideas take time to evolve. Together we're building a world class platform to amplify our teams' most powerful ideas. As part of our engineering team, you'll shape the platforms and tools that drive high impact research - designing systems that scale, accelerate discovery and support innovation across the firm. The role Reference Data underpins G-Research's trading and research workflows by curating core market datasets. As a Data Analyst, you will own day to day data integrity and investigate anomalies end to end. You will partner with engineers and stakeholders to improve pipelines, controls and downstream usability. This is a highly stakeholder facing role requiring proactive communication, accountability and strong teamwork. Responsibilities Owning daily data quality across reference data products including instruments, corporate actions, calendars, pricing and identifiers. Designing and maintaining data quality checks, dashboards and alerting. Leading root cause analysis on incidents including trace lineage, identifying failure modes and driving remediation with engineering. Communicating proactively with stakeholders, setting expectations and explaining impact, severity and timelines. Driving issues to closure through clear ownership, tracking actions, validating fixes and preventing regressions. Contributing as a strong team player by documenting learnings, sharing context and improving team standards. Qualifications Strong SQL skills. Strong Python skills for dataframe analytics using pandas or polars. Confident use of AI coding assistants with sound judgment and validation. Financial markets domain knowledge. Collaborative approach to working with stakeholders. Automation first mindset to reduce RTB and eliminate recurring manual work. Nice to have: Familiarity with Git, notebooks and reproducible analytics practices. Experience working with engineers in modern deployment environments such as containers or Kubernetes. Benefits Highly competitive compensation plus annual discretionary bonus. Lunch provided (via Just Eat for Business) and dedicated barista bar. 35 days' annual leave. 9% company pension contributions. Informal dress code and excellent work/life balance. Comprehensive healthcare and life assurance. Cycle to work scheme. Monthly company events. Inclusivity G Research is committed to cultivating and preserving an inclusive work environment. We want to ensure that applicants receive a recruitment experience that enables them to perform at their best. If you have a disability or special need that requires accommodation, please let us know.

Depop is the community-powered circular fashion marketplace where anyone can buy, sell and discover desirable secondhand fashion. With a community of over 35 million users, Depop is on a mission to make fashion circular, redefining fashion consumption. Founded in 2011, the company is headquartered in London, with offices in New York and Manchester, and in 2021 became a wholly-owned subsidiary of Etsy.Find out more at Our mission is to make fashion circular and to create an inclusive environment where everyone is welcome, no matter who they are or where they're from. Just as our platform connects people globally, we believe our workplace should reflect the diversity of the communities we serve. We thrive on the power of different perspectives and experiences, knowing they drive innovation and bring us closer to our users. We're proud to be an equal opportunity employer, providing employment opportunities without regard to age, ethnicity, religion or belief, gender identity, sex, sexual orientation, disability, pregnancy or maternity, marriage and civil partnership, or any other protected status. We're continuously evolving our recruitment processes to ensure fairness and are open to accommodating any needs you might have. If, due to a disability, you need adjustments to complete the application, please let us know by sending an email with your name, the role to which you would like to apply, and the type of support you need to complete the application to . For any other non-disability related questions, please reach out to our Talent Partners. Role We're hiring a Senior Data Engineer to work on the analytics engineering platform at Depop. You'll work on developing Airflow pipelines, the deployment of dbt models, managing data ingestion through Fivetran and developing internal tooling. You'll also help enable data scientists and ML engineers to build and deploy models on reliable infrastructure. This role will be embedded in the Analytics Engineering team, which works across all data domains and supports data scientists, ML scientists and internal stakeholders on core datasets and key reporting. Responsibilities As a Senior Data Engineer, you can expect to: Build and maintain orchestration pipelines on Astronomer (Airflow), including automated model deployment for dbt users. Design and manage data ingestion and orchestration using Fivetran at scale Contribute to the team's vision and roadmap, and lead technically complex initiatives and be responsible for their success. Enhance our engineering efficiency by developing our internal tooling, CI/CD practices, and alerts/logging. Contribute to group initiatives or peer-level initiatives to improve the data platform. Foster growth and capabilities in our less experienced engineers through coaching, and support our data consumers in building their own models. Cultivate a collaborative data culture that empowers self-serve data and model creation. Requirements A track record of building and operating production data pipelines, including working with stakeholders to define requirements and SLAs. A strong experience using batch orchestration tools like Airflow and DBT. A strong of data warehousing patterns (e.g. lakehouse and medallion), performance optimisation (Spark/Delta), and data quality monitoring. Technical authoring and architecture design experience. Lead initiatives to build and deploy data products to support data scientists, engineers and agentic analysts. Experience with cloud data warehousing (Databricks preferred), IaC and Astronomer/Airflow. Mentor and support junior engineers and partner with data scientists on data engineering projects. Additional Information PMI and cash plan healthcare access with Bupa Subsidised counselling and coaching with Self Space Cycle to Work scheme with options from Evans or the Green Commute Initiative Employee Assistance Programme (EAP) for 24/7 confidential support Mental Health First Aiders across the business for support and signposting Work/Life Balance: 25 days annual leave with option to carry over up to 5 days 1 company-wide day off per quarter Impact hours: Up to 2 days additional paid leave per year for volunteering Fully paid 4 week sabbatical after completion of 5 years of consecutive service with Depop, to give you a chance to recharge or do something you love. Flexible Working: MyMode hybrid-working model with Flex, Office Based, and Remote options role dependant All offices are dog-friendly Ability to work abroad for 4 weeks per year in UK tax treaty countries Family Life: 18 weeks of paid parental leave for full-time regular employees IVF leave, shared parental leave, and paid emergency parent/carer leave Learn + Grow: Budgets for conferences, learning subscriptions, and more Mentorship and programmes to upskill employees Your Future: Life Insurance (financial compensation of 3x your salary) Pension matching up to 6% of qualifying earnings Employees enjoy free shipping on their Depop sales within the UK. Special milestones are celebrated with gifts and rewards!

First things first What will you become a part of? Valtech is the experience innovation company, combining the uncommon to unlock a better way for people to experience the world. We work at the intersection of diverse disciplines, cultures and perspectives to create solutions that achieve the exceptional - helping brands make the leap beyond the competition and become leaders in a digital world We deliver innovation with a purpose. With expertise across experience design, technology and marketing, our passion is in addressing transformational business challenges for our clients. Challenges where we re imagine the customer journey and build new connected experiences. Challenges where we make data work in this new era and help our clients transform the way they operate and optimise business critical digital platforms for multichannel commerce and marketing. From discovery to optimisation, clients trust Valtech to remove complexity and deliver innovative, frictionless solutions that close the experience gap between customer expectation and reality. We are a network of more than 6,500 makers, thinkers, marketers, creatives, and developers spanning 5 continents with 60+ offices in 20+ countries. Role You'll take overall responsibility on behalf of Valtech for the design and quality of data centric solutions delivered to our customers. Our architects are involved in the detail, and you can expect to work closely with the engineering team. You're also likely to become a 'go to' authority within the company when it comes to data solutions, keeping up to date with industry developments and using your experience to assess the risk profiles of new projects. What you will be doing: Architectural design for new systems, primarily focused on data flow pipelines, storage and analytics Analysis of business problems to understand system requirements, including quality attributes such as performance, availability and security Undertaking information assurance where required Engagement of technical and non technical customer stakeholders at various levels in the organisation, advising and managing expectations where required Technology evaluation/assessment; identifying & recommending platforms and services. Technical leadership of engineering teams, including mentoring where needed Representing the company in public forums Be instrumental in helping to build an Architecture function and work alongside a strong team of Data Scientists, Analysts and Data Engineers. Our preferred candidate: You'll have several years of experience, having gone through the full project lifecycle on numerous occasions; you've seen how design decisions play out in production. You may have worked in traditional data warehousing environments, but you are up to speed with more contemporary data architectures based on open source technologies. Strong written, diagrammatic and spoken communication; ability to present to senior stakeholders Experience with varied types of data: tabular, connected, time series, geospatial, image, etc. Different types of database - relational; document; graph; columnar; key value Large scale data processing platforms, typically based on Hadoop / Spark Business intelligence / analytics products or frameworks Data analysis and data modelling requirements Experience working with cloud platforms and working with relevant PaaS / SaaS offerings. Knowledge of data integration technologies Knowledge of distributed computing & information security Programming experience in languages such as Java or Python is a bonus. While you may not have an exclusively agile background, you strive to work to these principles. Here at Valtech we're big believers that our staff are our most important asset, and as such we want to make sure we look after you. As well as all the usual corporate benefits (hybrid & flexible working, pension, life insurance, 25 days holiday, phone, laptop, private healthcare & dental etc), we pride ourselves on our commitment to continuous learning and development, which means you'll have a clear growth and development path, alongside access to professional coaching and online learning courses. You'll be joining an inclusive and diverse workforce, working on truly exciting projects with collaborative teams at a local and global level, with a big focus on health and social well being (Cycle to Work Scheme, Employee Assistance Programme, eye tests, Flu Jab, regular Company Days etc). Commitment to reaching all kinds of people We design experiences that work for all kinds of people - and that starts with our own teams. At Valtech, we're intentional about building an inclusive culture where everyone feels supported to grow, thrive and achieve their goals. No matter your background, you belong here. Explore our Diversity & Inclusion site to see how we're creating a more equitable Valtech for all.

Role Profile: Performance Analyst About Nimble Nimble is a boutique technology consultancy based in the UK North; Sheffield, Leeds and Manchester. We partner with ambitious clients across the public and private sectors to design, build, and optimize digital services that deliver real value. We pride ourselves on our agile mindset, our creative problem solving, and our collaborative culture. The Role As a Performance Analyst at Nimble, you will play a critical role in ensuring that the digital products and services we build are driven by robust data and actionable insights. You will work within multidisciplinary, agile delivery teams-alongside Product Managers, Designers, and Software Engineers-to champion a culture of data driven decision making. You will be responsible for designing performance measurement frameworks, configuring analytics tools, and translating complex data into compelling stories that guide our clients' strategic direction and improve the end user experience. Key Responsibilities Define Performance Metrics: Work closely with clients and internal stakeholders to define what "success" looks like, establishing clear Key Performance Indicators (KPIs) and performance measurement frameworks for digital services. Implement & Configure Analytics: Lead the setup, configuration, and management of digital analytics solutions, predominantly using Google Analytics (GA4) and Google Tag Manager, ensuring accurate data collection across platforms. Data Analysis & Insight Generation: Collect, cleanse, and analyze quantitative and qualitative data to understand user behaviour, identify pain points, and uncover opportunities for iterative service improvement. Dashboarding & Reporting: Design and build automated, intuitive dashboards (using tools like Looker Studio, Power BI, or Tableau) to communicate real time service performance to both technical teams and non technical stakeholders. A/B & Multivariate Testing: Design, run, and interpret experiments to test hypotheses and optimize user journeys, ensuring all findings are robust and statistically significant. Consultative Guidance: Act as a trusted advisor to clients. Present complex data in a clear, compelling way, challenging assumptions and providing evidence based recommendations that align with business goals and user needs. Agile Collaboration: Embed yourself in agile delivery teams, ensuring that performance metrics are considered at every stage of the product lifecycle (Discovery, Alpha, Beta, Live). Core Skills & Experience Digital Analytics Expertise: Proven, hands on experience using Google Analytics (GA4) to track user behaviour and measure digital performance. Experience with Google Tag Manager is highly desirable. Data Visualization: Strong capability in building clear, accessible reports and dashboards using visualization tools (e.g., Looker Studio, Power BI, Tableau). Consultancy & Communication Skills: Exceptional ability to translate complex data into actionable, easy to understand insights for diverse audiences. You must be comfortable managing client relationships, facilitating workshops, and presenting findings to senior stakeholders. Agile & User Centered Design: Deep understanding of agile methodologies and how data informs iterative, user centered design. Note: Familiarity with the UK Government Digital Service (GDS) standard is a strong advantage for public sector projects. Technical Proficiency: Comfortable working with data manipulation and querying languages (e.g., SQL, Excel/Google Sheets, and ideally basics of Python or R). Problem Solving Mindset: A proactive approach to identifying data gaps, troubleshooting analytics implementations, and finding innovative ways to measure non standard digital interactions. What We Offer Impactful Work: The opportunity to shape digital services that impact thousands of users across the UK. Collaborative Culture: A supportive, tight knit environment where knowledge sharing and continuous learning are highly valued. Professional Growth: Dedicated training budgets and pathways to develop your technical skills and consultancy expertise. Flexible Working: A hybrid working model tailored to balance client needs with your personal well being. What are our benefits Private healthcare for you and a family member through Westfield Health Multiple Qualified Mental Health First Aider's with regular 1 1's available £2k champion fund to spend as you wish on your own L&D Referral scheme (£3,000) for every successful applicant Dedicated time to spend on your L&D, including time to complete courses and qualifications Flat organisational structure with lots of career progression opportunities Laptop and any practicable equipment provided (either a Mac or Windows) Regular Nimble Socials (both virtual & physical) including Escape rooms, Gin tasting, Lunches, Award nights, Bowling, Bouldering and more! Relaxed and fun working environment Engaging and collaborative communities to be involved in A chance to be involved in company OKRs and shape how we will be in the future 25 days holiday allowance + bank holidays Company pension (with employer contributions) Equal Opportunities Statement: At Nimble Approach, we strongly believe that discrimination and victimisation is unacceptable. It is our duty to ensure that no employee or job applicant receives less favourable facilities or treatment (either directly or indirectly) in recruitment or employment on grounds of age, disability, gender / gender reassignment, marriage / civil partnership, pregnancy / maternity, race, religion or belief, sex, or sexual orientation (the protected characteristics). Our aim is that our workforce will be truly representative of society and each employee feels respected and able to give their best. We want everyone at Nimble and those applying to join us to feel safe, supported and encouraged so if we can make any adjustments to help with your application or you require any assistance, please reach out to us on and we are happy to help.