Data Analyst Warwickshire - (Hybrid) Salary: Up to £40,000 + Benefits We're supporting an innovative SaaS EdTech business in their search for a Data Analyst to join their growing team in Warwickshire. This is an excellent opportunity for a data-driven professional who enjoys turning complex datasets into meaningful insights. You'll work across the business to help improve decision-making, optimise product performance, and support the delivery of a market-leading platform used within the education sector. Working closely with stakeholders across Product, Operations, Customer Success, and Leadership teams, you'll play a key role in developing reporting capabilities, enhancing data quality, and driving business improvements through analytics. As their Data Analyst, you’ll: * Collect, analyse and interpret data from multiple business and product sources to generate actionable insights. * Design and maintain dashboards and reports using Power BI to support business decision-making. * Develop and monitor KPIs, ensuring stakeholders have visibility of business performance. * Build and optimise ETL processes using Python and Power Query. * Identify trends, patterns and opportunities through detailed data analysis. * Support data-driven initiatives across product development, customer engagement and operational performance. * Collaborate with stakeholders to understand reporting requirements and deliver analytical solutions. * Ensure data accuracy, consistency and governance standards are maintained. * Help drive continuous improvement in reporting, automation and data processes. * Maintain compliance with GDPR and PII regulations when handling and processing data. Required Skills \& Experience: * Previous experience in a Data Analyst or similar analytics-focused role. * Strong SQL skills with experience querying and manipulating large datasets. * Skilled using CRM-related data and pipelines * Commercial experience using Python for data analysis and ETL processes. * Strong Power BI and data visualisation experience. * Excellent analytical and problem-solving skills with the ability to translate data into business recommendations. * Experience building and maintaining ETL pipelines using Python and Power Query. * Strong stakeholder communication skills, with the ability to present findings to both technical and non-technical audiences. * Experience working within a SaaS, EdTech or technology-focused environment is desirable. * Exposure to cloud-based data platforms. Salary up to £40,000, Hybrid with 2-3 days per week in the office, Clear career development opportunities as the company continues to grow. If you are an experienced Data Analyst and this sounds like your next role, apply today!
Job Title: Business Data Analyst Client Location: Central London - Hybrid (3 on-site days/week) Starting: ASAP Pay Comments: PAYE - 37.5 hrs/week Minimum Pay (per day): 200.00 Maximum Pay (per day): 217.00 Duration: 10 months Job Description: Aquent is partnering with a leading global technology company that is revolutionising how individuals and businesses manage their financial lives. This innovative organisation is deeply committed to customer success, leveraging data-driven strategies to enhance experiences and drive operational excellence across diverse international markets. They are at the forefront of integrating AI into their core workflows, transforming how they generate insights and automate processes. We are seeking a highly motivated and forward-thinking Data Analyst to join a dynamic team dedicated to building cutting-edge data capabilities. In this pivotal role, you won't just analyse data; you'll be instrumental in shaping strategy, enabling actionable insights, and establishing robust, AI-ready data foundations that scale across multiple regions. You will be at the heart of improving how this company measures and delivers customer success, directly influencing Customer Experience, Digital Experience, Service Delivery, and Supportability, all while working with groundbreaking AI-native analytics. This is a 10-month hybrid contract, offering up to £217.09 per day (PAYE). Shortlisted candidates will be contacted by COB Monday, 7th September. Due to the number of applications, we’re unable to get back to each candidate individually. Key Responsibilities * Build robust data foundations by collaborating with engineering to develop pipelines, enhance data integrity, and establish clear metric definitions and governance tailored for international markets. * Develop data capabilities that function consistently across multiple regions and countries, while adapting to specific local requirements (e.g., regulatory, language, or workflow differences). * Automate recurring reporting and validation processes to boost accuracy and efficiency, ensuring data structures and taxonomies are optimized for downstream AI consumption and model-readiness. * Create and maintain scalable, user-friendly dashboards that provide comprehensive visibility into key performance metrics, designing reporting that connects metrics across the entire customer journey rather than in isolated silos. * Deliver deep-dive analytics by conducting root cause analysis to uncover drivers of customer pain points, digital adoption challenges, and operational inefficiencies. * Translate analytical findings into actionable recommendations that improve customer journeys, optimise staffing and routing decisions, and reduce escalations. * Advance AI-native analytics by leveraging Generative AI tools to automate recurring insight generation, support AI-powered summarisation and anomaly detection, and identify opportunities to replace manual workflows with intelligent automation. * Enable experimentation and continuous improvement by supporting A/B testing and digital experience evaluations, analysing performance outcomes, and quantifying customer and business impact. * Provide baseline metrics, monitor results, and deliver insights to scale successful initiatives, including evaluating the performance and customer impact of AI-assisted and digital experiences. * Influence strategy through compelling storytelling, communicating insights and trends clearly and persuasively to both technical and non-technical stakeholders to ensure alignment on decisions that enhance customer experience, digital adoption, operational performance, and supportability. Required Skills \& Experience * Solid experience in Data Analytics or Data Science, with ideal exposure to Customer Success, Operations, or Digital Experience domains. * Proficiency in SQL for data extraction, transformation, and pipeline development. * Experience with dashboarding and visualisation tools (e.g., Tableau, Qlik, or similar). * Familiarity with big data tools (e.g., Snowflake, Databricks, Spark) and ETL processes. * Proven ability to communicate analytical findings in clear, actionable narratives for both technical and non-technical audiences. * Strong problem-solving skills with the ability to balance strategic priorities and tactical execution. * Ability to manage multiple projects simultaneously in a fast-paced environment. * Proactive and growth-oriented mindset, consistently identifying opportunities for innovation. Nice-to-Have Skills * Experience with Python or R for advanced analytics, automation, or experimentation support. * Knowledge of statistical methods and experimentation (e.g., A/B testing). * Machine learning and Generative AI experience. * A genuine enthusiasm for Generative AI and a growth mindset toward how emerging tools can accelerate analytical work, actively curious about how LLMs, AI-native workflows, and intelligent automation can enhance impact. * Hands-on experience applying Generative AI to analytics workflows (e.g., automated insight generation, AI-assisted analysis, or LLM-enhanced data pipelines). * Experience working with call centre and/or digital support KPIs. * BS or MS in an appropriate quantitative field. Client Description: Our Client is a global technology platform that specialises in overcoming the world’s most important financial challenges. Their products and services are driven by artificial intelligence, and their accounting software is one of their most recognisable creations. Considered one of the top companies to work for, they are proud of their company culture and entrepreneurial spirit. Aquent is dedicated to improving inclusivity \& is proudly an equal opportunities employer. We encourage applications from under-represented groups \& are committed to providing support to applicants with disabilities. We aim to provide reasonable accommodation for any part of the employment process, to those with a medical condition, disability or neurodivergence.
Commercial Analyst | Turn Data Into Commercial Decisions UK - Remote - Home Based Salary: Market Led Permanent Salary + Bonus + Leave What if your next analysis didn’t just produce another report, but changed how a business prices its products, invests its marketing budget or wins back customers? That’s what we’re looking for. We’re working with a global brand, think 000’s of physical stores, distribution centre’s and vans on the road. Operating at significant scale, the business has a wealth of data at its fingertips. Now, we’re looking for a commercially minded analyst who can turn that data into decisions that make a genuine difference. Joining the BI \& Analytics team, you’ll work at the intersection of data and commercial strategy, partnering with teams across Commercial, Pricing, Marketing and eCommerce to answer the questions that matter most. This isn’t a role where you sit back and wait for someone to send you a brief. It’s about spotting opportunities, challenging assumptions and getting under the skin of the numbers to uncover what’s really happening, why it’s happening and what the business should do next. Powered by a powerful Data Engineering and Data Science function. This will be suited to someone operating at, or close to a Senior level. What will you be doing? * Uncovering commercial opportunities: Proactively identifying the biggest questions, challenges and growth opportunities across the business, then leading the analysis to answer them. * Influencing commercial strategy: Working closely with Commercial, Pricing, Marketing and eCommerce to understand their objectives and help shape better decisions. * Measuring what really works: Evaluating campaigns, promotions and pricing changes to separate genuine incremental growth from what would have happened anyway. * Understanding customer behaviour: Analysing customer journeys and segments to identify missed opportunities, barriers to conversion and ways to improve retention. * Testing and learning: Supporting the design and evaluation of experiments, trials and test-and-control comparisons to establish what delivers the best results. * Building the business case: Creating straightforward forecasts and commercial models to support investment decisions, including marketing and media spend. * Making data meaningful: Presenting your findings in plain English, translating complex analysis into recommendations that stakeholders can understand and act upon. * Collaborating across data: Working alongside BI, Data Science and Data Engineering to ensure your work is consistent, robust and built on a trusted version of the truth. What are we looking for? We’re interested in someone who combines strong analytical capability with commercial curiosity and the confidence to influence people. You might already be a Commercial Analytics Manager, Commercial Analyst, Data Analyst, Customer Analyst or Marketing Analyst. Your job title matters less than your ability to get to the bottom of a problem and demonstrate how your work has made a difference. You’ll ideally bring: * Proven experience in a hands-on data analytics role, preferably within retail, wholesale, eCommerce or another commercially focused environment. * Strong SQL and Excel skills, alongside experience using a BI platform such as Power BI. * A solid understanding of analytical techniques, including trend analysis, test-and-control comparisons and basic forecasting. * Commercial awareness, with an understanding of how pricing, margin, promotions and customer behaviour influence business performance. * Examples of analysis you’ve led that influenced a decision, improved performance or delivered measurable value. * The ability to communicate complex findings clearly and confidently, adapting your approach to different audiences. * The initiative to take ownership, challenge conventional thinking and pursue opportunities without needing a perfectly defined brief. We’re not looking for a technical data scientist. You won’t be building machine learning models. Instead, you’ll focus on the analytical thinking that bridges business intelligence and data science: understanding what the numbers mean and translating that understanding into action.
Data Scientist/Data Analyst Windsor/Hybrid Up to £60,000 This is an exciting opportunity for a Data Scientist to join a growing organisation that is investing heavily in its data and AI capabilities. You'll play a key role in building a trusted data foundation, improving data quality, and developing analytics solutions that directly influence operational and strategic decision-making. The Company They are a well-established organisation undergoing an ambitious data transformation programme. With continued growth plans and significant investment in modern data infrastructure, they are focused on leveraging data to improve business performance and deliver better outcomes across their operations. Working within a small, collaborative data team, you will have the opportunity to shape how data is collected, managed, and used across the organisation. This is a hands-on role offering broad exposure across data engineering, analytics, AI, and predictive modelling initiatives. The Role As a Data Scientist, you will work across a range of projects focused on data quality, analytics, and AI-driven innovation. Responsibilities include: * Cleaning, standardising, and reconciling data from multiple systems * Designing and implementing robust data models within a modern cloud data environment * Developing entity resolution and fuzzy matching solutions to improve record accuracy * Identifying and resolving data quality issues across fragmented datasets * Supporting the migration and optimisation of data within Snowflake * Exploring AI and document processing solutions to extract and structure information from unstructured documents * Building predictive models to support forecasting, planning, and operational decision-making * Developing reporting and dashboard solutions in Power BI for business stakeholders * Partnering with non-technical teams to translate business challenges into analytical solutions * Contributing to the long-term development of data science and analytics capabilities Your Skills \& Experience * Strong commercial experience in Data Science, Analytics, or a related field * Advanced SQL skills and experience working with large datasets * Experience with data modelling and data quality improvement initiatives * Knowledge of Snowflake or other modern cloud data platforms * Experience working with messy, fragmented, or poorly structured data * Exposure to forecasting, predictive analytics, or statistical modelling * Experience building dashboards and reports using Power BI * Understanding of entity resolution, record linkage, or fuzzy matching techniques * Ability to communicate insights clearly to both technical and non-technical stakeholders * STEM-related degree or equivalent analytical background What They Offer * Salary of £50,000 - £60,000 * Hybrid working arrangement with 3-4 days per week in Windsor * Opportunity to join a growing data team at an early stage of its journey * Exposure to modern technologies including Snowflake, AI, and predictive analytics * Broad project ownership and significant influence on data strategy * Strong opportunities for learning, development, and career progression * Collaborative environment where your work will have visible business impact How to Apply To find out more about this Data Scientist opportunity in Windsor, please submit your application today. We'd be delighted to discuss the role and provide further details.
Our client is a successful tech scale-up, a cash-generative SME currently at c.£12m turnover and c.80 staff, looking to double in size in the next five years under the guidance of its experienced, highly charismatic and driven owner, supported by a first-class senior leadership team including new CEO. We are looking to strengthen the company’s Data \& Insight capability, working closely with the organisation’s Operations Director who leads high-performing Customer Service, Project Delivery, IT and HR teams, Datal Analyst. Have you got the right qualifications and skills for this job Find out below, and hit apply to be considered. As Data Analyst, based at the company's North East headquarters, you’ll turn customer, sales and operational data into clear, actionable insight. Working closely with Marketing, Operations and Finance, this role is ideal for a detail-oriented Analyst who enjoys translating numbers into recommendations that improve customer experience and business performance. Your Key Responsibilities Will Include * Building and maintaining dashboards and self-service reports (e.g. Power BI) for membership, sales and retention metrics * Automating recurring reporting to reduce manual effort and improve accuracy * Ensuring reports are accurate, well-documented and easy for non-technical users to interpret * Analysing trends in customer growth, churn, engagement and campaign performance * Responding to ad hoc analysis requests from Marketing, Operations and Finance * Identifying patterns and flagging risks or opportunities to relevant stakeholders * Validating incoming data feeds from customer, EPOS and marketing systems * Investigating and resolve data discrepancies in collaboration with the Data Engineer * Maintaining clear documentation of report logic and data sources * Working with colleague teams to understand information needs * Presenting findings clearly to both technical and non-technical audiences * Supporting the Lead Data Analyst in prioritising the analytics workload As Data Analyst, You’ll Need * Strong, commercial Data Analyst experience gained in a similar role, preferably in a fast-moving, growing health and/or tech consumer product/service business * Degree or equivalent in Data, Tech or numerate discipline * Strong SQL skills and confidence working with large datasets - experience with Python or R for data analysis also beneficial * Proficient in Excel and at least one BI tool (e.g. Power BI, Tableau) – customer management and EPOS system knowledge advantageous * Excellent attention to detail and a methodical approach to analysis, ideally including a basic understanding of statistical concepts * Curious and analytical, with a genuine interest in what the story the data tells * Able to explain technical findings to non-technical stakeholders * High integrity, collaborative approach with strong organisational skills and ability to manage multiple requests * Committed to continuous learning and professional development Rewards And Benefits * Basic salary between £50,000 and £80,000 (plus benefits) * Maximum pay/rewards, dependent on possessing all outlined experience, skills, knowledge and qualifications * Full-time, permanent role, office-based in Gateshead * Support with training and development * Free parking * On-site health facilities, staff events and discounts, training/development and more Please note: we review applications on receipt and aim to respond to shortlisted candidates within 5 working days. You must have permanent eligibility to work in the UK - no visa opportunities available. Data Analyst, Gateshead
DATA ANALYST/SCIENTIST BERKSHIRE/HYBRID UP TO £60,000 This is an exciting opportunity to join a growing organisation undergoing a major data transformation. You'll play a key role in building the foundations for advanced analytics, machine learning, AI-driven automation, and predictive modelling, helping the business make better operational and strategic decisions. ROLES AND RESPONSIBILITIES: The Data Analyst/Scientist will: * Build and maintain robust data models to support reporting, analytics, and machine learning initiatives. * Improve data quality, standardisation, and reconciliation across multiple source systems. * Develop approaches for entity resolution, fuzzy matching, and record consolidation. * Support the migration and development of a Snowflake-based data platform. * Create Power BI dashboards and reporting solutions for operational and leadership teams. * Develop forecasting models to support planning, performance monitoring, and resource allocation. * Explore AI and machine learning applications including document processing and information extraction. * Work with structured and unstructured datasets to create trusted, business-ready data assets. * Collaborate with stakeholders to translate commercial and operational challenges into analytical solutions. * Contribute to the development of predictive models focused on risk, performance, and operational optimisation. Your Skills \& Experience * Strong SQL and data modelling experience. * Experience working with cloud data platforms, ideally Snowflake. * Commercial experience working with complex or fragmented datasets. * Strong understanding of data quality, reconciliation, and master data challenges. * Experience building analytical, forecasting, or predictive models in Python. * Power BI reporting and dashboard development experience. * Exposure to machine learning, AI, or advanced analytics techniques. * Ability to engage with stakeholders and communicate technical concepts clearly. * STEM-related degree or equivalent analytical background. APPLY BELOW Desired Skills and Experience DATA ANALYST/SCIENTIST BERKSHIRE/HYBRID UP TO £60,000 This is an exciting opportunity to join a growing organisation undergoing a major data transformation. You'll play a key role in building the foundations for advanced analytics, machine learning, AI-driven automation, and predictive modelling, helping the business make better operational and strategic decisions. ROLES AND RESPONSIBILITIES: The Data Analyst/Scientist will: Build and maintain robust data models to support reporting, analytics, and machine learning initiatives. Improve data quality, standardisation, and reconciliation across multiple source systems. Develop approaches for entity resolution, fuzzy matching, and record consolidation. Support the migration and development of a Snowflake-based data platform. Create Power BI dashboards and reporting solutions for operational and leadership teams. Develop forecasting models to support planning, performance monitoring, and resource allocation. Explore AI and machine learning applications including document processing and information extraction. Work with structured and unstructured datasets to create trusted, business-ready data assets. Collaborate with stakeholders to translate commercial and operational challenges into analytical solutions. Contribute to the development of predictive models focused on risk, performance, and operational optimisation. Your Skills \& Experience: Strong SQL and data modelling experience. Experience working with cloud data platforms, ideally Snowflake. Commercial experience working with complex or fragmented datasets. Strong understanding of data quality, reconciliation, and master data challenges. Experience building analytical, forecasting, or predictive models in Python. Power BI reporting and dashboard development experience. Exposure to machine learning, AI, or advanced analytics techniques. Ability to engage with stakeholders and communicate technical concepts clearly. STEM-related degree or equivalent analytical background. APPLY BELOW
Role: Data Analyst Location: Birmingham (Hybrid – 2/3 Days On-Site Weekly) Salary: £36,000 - £46,000 Network IT are working with a leading research-intensive organisation to recruit a Data Analyst Developer to join a growing Data \& Analytics function at the heart of a significant data transformation programme. This is an exciting opportunity to help modernise the organisation's data landscape through the adoption of Snowflake , the migration to Power BI , and the delivery of enterprise-wide analytics capabilities that support strategic decision-making. Role Overview As a Data Analyst Developer , you will play a key role in developing and maintaining enterprise reporting and analytics solutions, helping stakeholders across the organisation make better, faster, and more informed decisions. Working closely with colleagues across Data \& Analytics, IT, and wider business functions, you will support the development of modern cloud-based reporting solutions using technologies including Power BI, Snowflake, SQL, dbt, Tableau, and Alteryx . This is a highly technical, hands-on role suited to someone who enjoys combining data engineering, analytics, reporting, and stakeholder engagement to deliver meaningful business outcomes. You will also have the opportunity to explore emerging technologies, including AI-enabled solutions, to enhance analytics and reporting capabilities. Key Responsibilities * Develop and maintain enterprise reporting and analytics solutions using Power BI and Tableau * Design and support data pipelines, refresh schedules, and reporting environments using Snowflake, SQL, Alteryx, and dbt * Analyse institutional and external datasets, providing actionable insights for decision-makers * Create data-rich dashboards, reports, and visualisations that support business performance and strategic planning * Support forecasting, planning, and modelling activities using enterprise systems and analytics tools * Develop and maintain reporting models, documentation, and technical standards * Ensure data quality, integrity, and governance standards are maintained across reporting solutions * Work closely with stakeholders to understand requirements and translate them into technical solutions * Deliver training, guidance, and support to users across the organisation * Contribute to the adoption of new technologies, including AI-enabled analytics and reporting solutions Essential Skills \& Experience * Degree qualified (or equivalent experience) in a relevant technical, data, or IT discipline * Strong experience developing reports and dashboards using Power BI, Tableau, SAP BusinessObjects, or similar BI platforms * Experience creating complex Power BI dashboards , including DAX, Power Query, and Row-Level Security (RLS) * Strong SQL skills and experience extracting, transforming, and analysing large datasets * Experience with modern data platforms such as Snowflake and data transformation tools such as dbt or Alteryx * Strong understanding of data modelling concepts including facts, dimensions, semantic modelling, and reporting architectures * Experience implementing reporting standards, development best practices, and quality assurance processes * Proven ability to analyse complex datasets and communicate findings clearly to both technical and non-technical audiences * Strong stakeholder engagement and communication skills * Understanding of data governance, data quality, and data protection principles * Ability to work independently whilst managing multiple priorities in a fast-paced environment Desirable Skills \& Experience * Experience with Python or similar programming languages * Experience supporting or mentoring junior developers * Experience working within Agile delivery environments such as Scrum or Kanban * Experience integrating Power BI with cloud data warehouses * Knowledge of Cognos Planning Analytics (TM1) * Experience with Simitive WAMS or similar planning and workload management platforms * Understanding of the Higher Education sector and its data challenges
Job Description Working Pattern: Typically 5 days in the office, with core hours flexible between 8am-6pm. The Role As a Data Analyst, you will play a key role in ensuring our internal and external reporting drives valuable insight and actions. You will work closely with internal cross functional teams including BIS, Product Operations, eCommerce, Product and Operations where strong communication skills are essential. What You’ll Take On We are seeking a detail-oriented and motivated individual to join our team, focusing on the essential data and reporting that keeps our business moving. You will be responsible for improving and maintaining our product reporting, keeping it on time and accurate. You will play a key part in producing ad hoc reports and responding to queries, providing you with a broad overview of how data impacts our commercial success. You will provide the business with the visibility needed to make informed decisions and be able to respond to ad hoc requests. Reporting \& Insights: To produce actionable reporting \& insights using all available data. Visualise information using reporting suites such as PowerBi Communicating often complex data into clear reporting. Interpret the data to improve processes across the business Data Engineering: Proficient when using SQL, Python and Git in data warehousing platforms such as Databricks or Azure cloud software (including Databricks, Azure Data Lake etc) to get the best out of our software and infrastructure Process Optimisation \& Automation: Automate existing data exchanges to ensure this is done in an optimised and efficient manner. Take an active role in identifying opportunities and prioritising implementation. System Optimisation: Exploring the latest technologies and selecting the right tools for the job. Seeking opportunities to modernise and de-risk unsupported systems. The day to day: Identify and implement improved ways of working Networking: Share business knowledge quickly Build and maintain relationships with internal and external stakeholders. Giving you access to the people required to deliver your personal and business goals. What You’ll Bring We are looking for an individual who is eager to learn and ready to roll up their sleeves to get the job done. You don’t need years of experience, but you do need a keen eye for detail and a proactive attitude toward solving problems. Rather than passing issues along, you take ownership of your tasks and take pride in the accuracy of your work. You are a clear and confident communicator, comfortable reaching out to different teams and external brands to ensure reports are delivered and queries are resolved. Highly organized and dependable, you can manage your daily routine while remaining flexible enough to handle reactive requests as they arise. We value someone who is curious—someone who won't just follow a process, but will eventually suggest innovative ways to make our reporting even better. Your balance of technical potential and a positive, "can-do" mindset will make you an invaluable asset to our team. Sponsorship Candidates wishing to apply who would require sponsorship for this role will be required to meet the Home Office sponsorship requirements. For further information please see: https://www.gov.uk/skilled-worker-visa . We encourage early applications for our roles, as our recruitment process begins as soon as the role is advertised. If we successfully fill the position, this advert may close earlier than planned. At NEXT, we believe the best work happens when there are no barriers to collaboration. That’s why we are a Google-powered workspace. From your very first day, you’ll be using the full Google Workspace suite; Docs, Drive, and Meet, to stay connected and move fast. If your previous experience is rooted in other software suites, don’t worry! We’ll point you to a digital Google toolkit the moment you join, packed with handy guides and insider tips to help you transition smoothly and hit the ground running. About Us You know Next, but did you know we’re a FTSE-100 retail company employing over 44,000 people across the Next group. We’re the UK’s 2nd largest fashion retailer and for Kidswear we’re the market leader. At the last count we have over 450 stores, plus the Next Online and it’s now possible to buy on-line from over 80 countries around the world! So we’ve gone global! About The Team * 25 days holiday plus bank holidays * Profit-related bonus - based on company performance * Private health insurance- surgery choices * Sharesave scheme - make savings from your net pay to buy NEXT shares at a discount * Pension - fixed contribution rates from both an employer and employee perspective, but you're also able to make additional voluntary contributions (AVCs) if you wish to save more. * 25% staff discount on most NEXT products - plus discount on other products * Wagestream - helping you make the most out of your money * Salary finance - offers access to affordable loans repaid through salary, simple savings and free financial education. * Life assurance * Direct to work - NEXT orders delivered free to the office for collection * VIP sale - early access to the NEXT sale * Access to NEXT staff shops * Octopus energy - like cycle-to-work, but for electric vehicles * Free parking (excluding London locations) * Travel2NEXT - bus services dependent on location * On site dining facilities (excluding London locations) * National and local discounts on goods and services - this includes things like discounted cinema tickets * Wellhub - includes access to discounted gym membership * Simply health - a healthcare subscription service * Aviva Digicare Workplace+ healthcare service - 7 Free services including Digital GP appointments and an annual health check. * Onsite GP - Leicester Head Office * Onsite Physio - Leicester Head Office * A range of dedicated 3rd party wellbeing partners * Free eye testing - voucher to use at specific locations Conditions apply to all benefits. These benefits are discretionary and subject to change. We aim to support all candidates during the application process and are happy to provide workplace adjustments when necessary. Should you need support with your application due to a disability or long-term condition, feel free to get in touch with us by email headoffice_careers@next.co.uk (please include 'Workplace Adjustments' in the subject line), or call us on 0116 284 2486 and leave a voicemail.
Job Title: Data Analyst Location: Telford, Shropshire or Andover, Hampshire + Hybrid Working Arrangements Compensation: Competitive + Benefits Role Type: Full time / Permanent Role ID: SF76814 Turn insight into action on one of the UK's most ambitious defence transformation programmes. At Babcock, we’re working to create a safe and secure world, together. If you join us, you can play your part as a Data Analyst at Donnington or Andover. The role As a Data Analyst, you'll play a pivotal role in supporting one of the UK's most significant defence transformation programmes. Working within a high-profile business winning campaign, you'll provide trusted, data-driven insight that helps shape critical decisions, influence strategy, and support successful programme delivery. Day-to-day you'll be: * Analysing complex data from multiple business, programme and customer sources to provide actionable insight. * Developing and maintaining dashboards, reports and visualisations using Power BI and Microsoft Excel. * Ensuring data quality, governance and assurance processes are robust, accurate and auditable. * Supporting campaign reviews, governance activities and key decision points through evidence-based reporting. * Collaborating with campaign leaders, solution teams and stakeholders to identify trends, risks and opportunities. The role is based at Donnington or Andover. Hybrid working patterns are available with a minimum of 3 days on site. The set working times are Monday to Friday, 37 hours per week. Essential experience of the Data Analyst: * Advanced Microsoft Excel skills, including Power Query, pivot tables, complex formulas and data validation. * Experience analysing complex datasets and translating findings into business-focused recommendations. * Understanding of data governance, data quality, information security and data management principles. * Experience developing Power BI dashboards, data models and DAX-based reporting solutions. * Strong communication skills with the ability to present complex analysis clearly to a range of stakeholders. Qualifications for the Data Analyst: * Degree in Data Analytics, Mathematics, Statistics, Computer Science, Economics or a related discipline, or equivalent relevant experience. Security Clearance The successful candidate must be able to achieve and maintain Security Check (SC) security clearance for this role. Many of the positions within our company are subject to national security clearance and Trade Control restrictions. This means that your eligibility for certain roles may be affected by your place of birth, nationality, current or former citizenship, and any residency you hold or have held. Further details are available at United Kingdom Security Vetting: clearance levels - GOV.UK (www.gov.uk) . What We Offer * Generous holiday allowance * Matched contribution pension scheme, with life assurance * Access to a Digital GP, annual health check, and nutritional consultations through Aviva DigiCare+ * Employee shopping savings portal * Payment of Professional Fees * Reservists in the armed forces receive 10-days special paid leave * Holiday Trading is a benefit that allows UK Babcock employees to buy additional leave or to sell up to one working week of annual leave from their annual entitlement. This Window opens February through to March annually. * ‘Be Kind Day’ enables employees to take one working day's paid leave a year (or equivalent hours) to undertake volunteering work with their chosen organisation or registered charity Babcock We’re Babcock — a global FTSE 100 organisation with over 29,000 people working together to make a difference. Here, you’ll be part of something bigger. From initial design to final decommissioning, your work will contribute to products and services that are essential to national security and public infrastructure. Together, we’re building a future that lasts — not just through the impact we make, but through meaningful careers that respect your work-life balance. We call that lifetime engineering. Join us and see how far we can go, together. We are a disability confident committed employer. If you have a disability or need any reasonable adjustments during the application and selection stages, please email careers@babcockinternational.com with the subject header ‘Reasonable adjustments requirement’. We’re committed to building an inclusive culture where everyone’s free to thrive. We are happy to talk about flexible working – please ask about alternative patterns of work at interview. Closing date: 05/11/2026
Data Analyst Up to £45,000 - Oxford Are you a Data Analyst who enjoys turning data into actionable insights and working closely with stakeholders to solve business challenges? We are working with an organisation that is continuing to invest in its data and analytics capability and is looking to add a BI Analyst to its growing team. This role will focus on delivering meaningful reporting, analysing business performance, and helping stakeholders make data-driven decisions through high-quality Power BI solutions. This is an excellent opportunity for someone who enjoys a blend of technical development and business engagement. You will work with a variety of stakeholders across the organisation, helping to understand reporting requirements, develop insights, and improve the overall use of data within the business. If you enjoy working with Power BI, writing complex SQL queries and translating data into clear business value, this could be a great next step in your career. Key Responsibilities * Developing and maintaining Power BI dashboards, reports and visualisations. * Gathering requirements from stakeholders and translating business needs into reporting solutions. * Writing and optimising SQL queries to extract, manipulate and analyse data. * Delivering insights and recommendations to support key business decisions. * Monitoring data quality and investigating reporting discrepancies. * Creating and maintaining documentation for reports, dashboards and KPI definitions. * Working closely with business teams to identify opportunities for improved reporting and analytics. Skills \& Experience * Strong SQL skills with experience querying and analysing large datasets. * Good commercial experience with Power BI, including dashboard development and data visualisation. * Ability to gather and understand business requirements from non-technical stakeholders. * Experience creating meaningful reports and presenting insights to the business. * Strong analytical and problem-solving skills. * Excellent communication and stakeholder management abilities. * Understanding of data modelling and reporting best practices would be advantageous. What's On Offer? * Up to £45,000 salary. * Hybrid working model (2 days per week in Oxford). * Opportunity to work closely with key business stakeholders. * Exposure to a variety of reporting and analytics projects. * Supportive team environment with opportunities for career progression. * Chance to make a tangible impact through data-driven decision making. * Whether you're an experienced BI Analyst or looking to build on your reporting and analytics expertise, this role offers the opportunity to work with modern BI tools while delivering real business value through data and insight.
Position: Operational Data Analyst Department: Product - Operations Reporting to: Technical Program Manager Location: London Hybrid role: 3 days a week from our London office \& 2 days working from home Full time / Part time: Full time Ready for a challenge? Just Eat Takeaway.com is a leading global online food delivery marketplace, connecting millions of customers with restaurants and grocery partners. We're on a mission to empower convenience and deliver exceptional experiences through technology and innovation. About This Role We are looking for an Operational Data Analyst to join our Tech Operations team—a hands-on, high-ownership role sitting at the intersection of data engineering, commercial analysis, and strategic insight. You will own the reporting that tells our technology and product leadership how effort is being spent, how fast we are delivering, and whether what we build is working. You will inherit a strong foundation—a working FTE allocation report, a data pipeline in active development, and a clear roadmap of what comes next. The challenge is to complete that pipeline, extend it into new reporting domains, and evolve the function from operational reporting toward genuine commercial insight. This is not a role for someone who waits to be asked. The best candidate will identify the next question before leadership does. You will work closely with engineering leadership, product leadership, and finance, bringing rigour to how we plan, prioritise, and measure our work across the technology and product organisation. These are some of the key components to the position: * Own and maintain the FTE Allocation Report—our primary view of how Tech headcount is distributed across OKRs, business operations, and maintenance activity, ensuring accurate data models and leadership-ready reporting * Build out engineering velocity reporting including flow metrics (lead time, cycle time, throughput), establish baseline measurements, and make delivery performance visible to engineering and product leadership * Work alongside data engineers to bring the automated pipeline into production—replacing manual refresh processes with scheduled, monitored, production-grade solutions, owning SQL logic, column/grain definitions, and QA * Connect engineering effort to business outcomes by linking FTE allocation and delivery performance to product metrics and commercial results, defining what ROI and commercial insight looks like incrementally * Extend reporting scope from how we build to what we built and whether it works—shaping adoption, usage, and deprecation reporting that serves both product and technology leadership * Turn complex, ambiguous data into clear, actionable insight for non-technical audiences, presenting findings and recommendations confidently to senior leadership including technology and product directors * Design reporting methodology—defining what should be measured and why—and manage multiple workstreams with different stakeholders and time horizons simultaneously * Ensure strong documentation practices, leaving systems and processes better explained than you found them What will you bring to the team? * Strong SQL proficiency beyond querying—comfortable writing dimensional tables, fact tables, complex joins, and specifying them precisely for engineers to build from * Analytics engineering and orchestration experience, writing modular, templated SQL (using Jinja) to build, orchestrate, and schedule automated data pipelines * Proficiency in Tableau with a proven track record of building self-service dashboards for senior stakeholders * Familiarity with engineering data systems and underlying data models/raw schemas of platforms such as GitHub audit logs and Jira issue metadata * Proven ability to turn complex, ambiguous data into clear, actionable insight for non-technical audiences * Commercial curiosity—naturally connecting operational metrics to business questions and outcomes * Experience designing reporting methodology, not just consuming it—able to define what should be measured and why At JET, This Is How We Play Our teams forge connections internally and work with some of the best-known brands on the planet, giving us truly international impact in a dynamic environment. Being the best at what we do isn’t just about delivering on our strategy. It's a competition for something incredibly valuable – our customers' choice. Every time a customer decides where to order, they're picking a side. At the heart of the JET Customer League are our values and behaviours. They guide every interaction, every decision, every innovation. These are the actions we need to perform consistently and brilliantly, to surpass the competition and earn our customers’ loyalty, again and again. Fun, fast-paced and supportive, the JET culture is about movement, growth, helping one another to succeed and celebrating wins. By truly living our values and embodying our behaviours, we’re building a customer-first culture which enables us to stay one step ahead of the competition. Inclusion, Diversity \& Belonging At JET, we're committed to creating an inclusive workplace where everyone belongs. We celebrate diversity and believe different perspectives make us stronger. Learn more about our Employee Resource Groups and inclusion initiatives on our careers page. What else are we delivering? Explore our technology stories, product innovations, and the impact we're making at justtakeaway.com/careers Are you ready to join the team? Apply now!
Data Business Analyst £375 to £450 per day | Inside IR35 | 6-month contract Reading | Hybrid, 1 to 3 days onsite per week We’re supporting a leading consultancy on a data-focused transformation programme and are looking for a Data Business Analyst with strong utilities sector experience to join the team. This is an opportunity to work across business and data teams, helping to understand operational challenges, improve processes and ensure data solutions meet business requirements. What you’ll be doing as a Data Business Analyst: * Working with business and technical stakeholders to gather and define data requirements. * Supporting workforce management initiatives, identifying opportunities to improve operational processes. * Translating business needs into clear requirements for data tools and solutions. * Analysing existing processes, identifying gaps and recommending improvements. * Bridging the gap between business teams and technical delivery teams. What we’re looking for: * Previous experience as a Business Analyst within the utilities sector. This is essential. * Experience working on data-focused projects, including data tooling and systems. * Exposure to workforce management processes or initiatives. * Strong stakeholder management and requirements-gathering skills. * Comfortable working across business and technical teams. Get in touch with Connor Smyth to hear more.
Junior Data Analyst | Lancashire (Hybrid) | £30,000 - £32,000 A fantastic client of ours is looking for a Junior Data Analyst to join their growing team. You'll be working across a mix of data management, reporting and analysis, with exposure to client environments and the opportunity to develop your consultancy skills alongside your technical ones. What you'll be doing: * Supporting data management and reporting across a range of client accounts * Analysing and interpreting data sets to produce meaningful insights * Building and maintaining reports and dashboards for internal and client use * Assisting in the development and improvement of client-facing data offerings * Working closely with senior team members on client projects You'll need: * Strong MS Office skills, particularly Excel * A analytical mindset with strong attention to detail * Good communication skills \& confident working with both technical and non-technical stakeholders * A motivated, self-sufficient approach Bonus points for: * Power BI or similar data visualisation tools * SQL Server experience * Any exposure to data analysis in a commercial environment What's on offer: £30,000 - £32,000 depending on experience, hybrid working with flexibility after onboarding and a genuine opportunity to grow within a client-facing data and consultancy environment. Get in touch or apply below. #Dexter
We’re recruiting for a Principal Data Analyst to support sensitive MOD / aerospace programmes within the Defence \& Security sector. This is a contract role based in Reading (hybrid) and requires active SC clearance. Job title Principal Data Analyst Reading, Berkshire (hybrid) Active SC clearance is mandatory Up to £77.50 per hour inside IR35 The role You’ll contribute to a data-driven strategy by delivering high-quality analysis, insight, and reporting to support informed decision-making. You’ll work with stakeholders to translate analytical needs into scalable solutions, ensuring strong data quality, governance, and clear communication of findings. Key responsibilities * Analyse data from multiple sources to identify trends, patterns, and anomalies * Develop and maintain reports, interactive dashboards, and KPI monitoring (Power BI) * Write complex SQL for data extraction, transformation, validation, and analysis * Create scalable and efficient data models for reporting * Ensure data quality, reliability, and consistency for analysis * Document analytical logic, metrics, and data sources for transparency and repeatability * Manage analytical work end-to-end and present findings clearly to stakeholders Skills and experience required * Strong experience in data analysis / BI / analytics roles, ideally in MOD, Defence Digital, Defence, or UK aerospace environments * Advanced SQL skills * Strong Power BI dashboarding and visualisation experience * Understanding of data warehousing, data modelling, and ETL pipelines * Awareness of security, privacy, and data governance principles * Confident communicating complex insights to technical and non-technical audiences * Strong attention to detail and high ethical standards handling sensitive information Desirable * Degree in a relevant discipline (Statistics / Maths / Economics / Computer Science / Engineering or similar) * BI/analytics certifications (Power BI / Tableau) * Cloud data environment familiarity (BigQuery / Snowflake / Redshift) * Python or R for statistical analysis * Professional membership of a STEM-related organisation Apply If you’re a security-cleared Principal Data Analyst with strong Power BI and SQL capability and want to work on high-profile Defence/aerospace programmes, please apply now.