1 to 25 of 1,828 Analytics Jobs in the UK excluding London

offshore teams, managing reporting requirements, and delivering a comprehensive reporting strategy across HCM, Payroll, ERP, and SCM modules. Leverage cutting-edge reporting tools such as OTBI, BI Publisher, HCM Analytics, SCM Analytics, ERP Analytics, and Fusion Data Intelligence to drive process standardization, data integrity, and informed decision-making. Key Responsibilities: Lead and manage a reporting team of both onshore and … provide guidance, set priorities, and ensure timely delivery of objectives. Facilitate the mapping and gap analysis of current reporting catalogues to Oracle Fusion reporting capabilities; design solutions using Oracle analytics and reporting tools. Plan and lead customer workshops to gather requirements, align expectations, and provide guidance on Oracle Fusion reporting; act as the main point of contact for reporting escalations. … Develop and implement a reporting strategy leveraging Oracle native tools (OTBI, BI Publisher, Analytics Cloud) for real-time and historical reporting needs. Collaborate with functional and technical leads to ensure seamless integration of reporting requirements into the overall implementation plan. Maintain stakeholder relationships , providing regular updates and managing expectations for the reporting workstream. Establish governance processes and best practices for More ❯

Join our team of 4,000+ employees and be part of reshaping the labour market and becoming the worlds leading job-tech platform. Job Description The role of Product Analytics Manager in our company is at the intersection of several disciplines: Product Analytics, Insights Analytics, Data Engineering and Data Science. Your teams projects will cover a broad range of topics … insights and sometimes building predictive models, ultimately helping our Product organisation deliver great products, which solve meaningful user problems. You and your team are part of a larger Product Analytics group, and will be working closely with Product Directors, Heads of Product, Data Engineers, Data Scientists and many other stakeholders to ensure we take data-driven product decisions at every … their potential and progress on their chosen career paths. What your day will look like: Orchestrate the scope, prioritization, and distribution of resources in your team across the many analytics projects. Manage the delivery process and set expectations with stakeholders for transparent and aligned project outcomes and timelines. Champion our 'always testing' culture, designing and developing experiments. Lead and drive More ❯

play a pivotal role in the implementation of Oracle Fusion applications, including HCM, Payroll, ERP, and SCM functional modules. Your key reporting tools would be OTBI, BI Publisher, HCM Analytics, SCM Analytics, and ERP Analytics, and Fusion Data Intelligence. You will be responsible for overseeing the end-to-end reporting workstream, leading a team of onshore and offshore resources, managing … the project timeline and objectives. Facilitate the mapping of the current reporting catalogue to Oracle Fusion’s reporting capabilities. Identify gaps and design solutions leveraging Oracle’s suite of analytics and reporting tools. Ensure alignment between the reporting catalogue and business requirements. Plan and lead customer workshops to gather reporting requirements, align expectations, and provide guidance on Oracle Fusion reporting … the primary point of contact for reporting-related escalations and resolving issues effectively. Develop a reporting strategy that leverages Oracle’s native tools, such as OTBI, BI Publisher, and Analytics Cloud, to address real-time and historical reporting needs. Ensure the reporting strategy aligns with the customers overarching goals for process standardization, data integrity, and improved decision-making. Collaborate closely More ❯

limit) and we place, you will be entitled to our general gift/voucher scheme. Datatech is one of the UK's leading recruitment agencies in the field of analytics and host of the critically acclaimed event, Women in Data. For more information, visit our website: www.datatech.org.uk More ❯

shapes strategy. Qualifications What we’d love you to bring: Passion for using data to tell stories, make insight actionable, and influence decisions. Strong understanding of data models and analytics; exposure to predictive modelling and machine learning is a plus. Proficient in SQL and Python, with bonus points for PySpark, SparkSQL, and Git. Skilled in data visualisation with tools such More ❯

in Python and familiarity with machine learning frameworks such as TensorFlow, PyTorch, and scikit-learn. Experience with Large Language Models, prompt engineering, and RAG implementations. Strong skills in data analytics, API development, and MLOps practices including CI/CD for ML. Excellent technical documentation and communication skills. Desirable knowledge in Docker, Kubernetes, and understanding of financial services or regulatory environments. More ❯

Lake, and Microsoft Fabric. The Role As Senior Data Engineer, you will: Lead the design, build, and optimisation of Azure Data Factory (ADF) ETL pipelines . Develop scalable Synapse Analytics data models and performance-optimised SQL workloads. Own and enhance Power BI datasets, semantic models, and reporting standards (major focus). Shape cloud data architecture across Azure Data Lake and More ❯

and implement scalable, secure, and high-performing customer data architectures. You will work with cross-functional teams to define data strategies, architect solutions, and enable data readiness for AI, analytics, and customer engagement platforms. This role sits within Accenture’s Data & AI practice, delivering end-to-end solutions from data strategy to core engineering. Key Responsibilities Architect modern customer data More ❯

highly analytical and detail-oriented professional with proven experience in using Microsoft Power BI to deliver impactful data reporting and visualisation solutions. You will hold relevant BI or data analytics certifications and have advanced skills in SQL and data modelling. Your experience will include data cleansing, DAX calculations, and building intuitive, insightful visualisations that support strategic decision-making. You will More ❯

articulate technical strategies to non-technical audiences including clients at all levels including C-suite Skills we’d love to see/Amazing Extras: Experience in data engineering/analytics using native technologies of least one cloud platform (AWS, Azure, GCP) Experience working with cloud platforms and in particular architecting with native cloud resources relevant to data problems Knowledge of More ❯

Position: Analytics Engineer Location: London (hybrid 3 times a week)Department: ITType: 3 months rolling contractOutside IR35 The client is seeking an experienced Analytics Engineer to join its Data & Analytics team. The role focuses on building scalable data pipelines, transforming raw data into clean, reusable datasets, and enabling data-driven decision-making. Key Responsibilities Design and build data products, with … BI to enable data-driven decision-making Ensure data quality and accuracy by implementing data validation, monitoring, and error-handling processes. Requirements At least 8 years' experience in data analytics, data engineering, software engineering, or a similar role Expertise in developing best practices for data engineering and analytics with a strong background in data modelling including indexing strategies. Strong ability More ❯

search for an experienced Data Specialist. This is an exciting opportunity to join a dynamic team at a pivotal point in its growth, helping shape data strategy, deliver insightful analytics, and drive intelligent decision-making across the business. You'll work closely with stakeholders to uncover challenges, identify opportunities, and deliver actionable, measurable solutions through advanced machine learning models, statistical More ❯

exposure to business operations and develop both technical and strategic skills. Contribute directly to transformation projects through meaningful insight and analysis. You MUST have Strong experience with BI and analytics tools. Excellent analytical skills and the ability to interpret complex data needs. Advanced Excel skills (eg pivot tables, formulas, data manipulation). Proven ability to translate business requirements into BI More ❯

Data Engineer - Azure Databricks , Apache Kafka Permanent Basingstoke (Hybrid - x2 PW) Circa £70,000 + Excellent Package Overview We're looking for a skilled Data Analytics Engineer to help drive the evolution of our clients data platform. This role is ideal for someone who thrives on building scalable data solutions and is confident working with modern tools such as Azure More ❯

cloud platforms (Azure or AWS). Exposure to Data Warehousing concepts, ideally with Snowflake or DataFactory. PL-300 certification or near completion. What You’ll Bring: Demonstrable experience in analytics within a professional environment. Ability to craft compelling, clear, and engaging stories with data. Strong time management, attention to detail, and a collaborative mindset. Values such as honesty, ownership, and More ❯

of experience in consulting, banking, corporate strategy, or a similar analytical role. Proven ability to work with senior stakeholders and communicate complex ideas clearly. Experience in finance or risk analytics is a plus. Technical Skills: Strong Excel skills required, including advanced formulas, pivot tables, Power Query, data modelling using Power Pivot, and scenario analysis tools. Experience in building dashboards, process More ❯

company based in London, dedicated to building innovative solutions that transform the way people and businesses interact with data. With a strong focus on AI, machine learning, and advanced analytics, they are tackling complex challenges and driving data-led decision-making across their industry. The Opportunity: We are partnering with our client to find a talented Senior Data Scientist who More ❯

Castle Trust Bank. We pride ourselves in being a fintech challenger bank, providing specialist property mortgages, retail finance lending and savings accounts to a variety of customers. Our Data & Analytics team is part of the Technology function of Castle Trust Bank and aims to provide data and insights to internal and external customers using the latest Microsoft tools. The team More ❯

BI in a development role Leading the design and delivery of new reporting requirements Using DAX and Power Query Background in a related field Desirable Experience with Azure Synapse Analytics or Azure Data Factory Production of guidance documentation. Knowledge and Skills Essential Skilled in Power BI, including data modelling & DAX Knowledge of SQL or other languages Understands principles of secure More ❯

Bank of England to deliver its mission by providing a diverse set of technical solutions and platforms. From supporting critical systems which underpin the UK economy, to evolving data analytics, reinventing our online presence, and introducing a fully digital workplace. Be part of a team that's constantly evolving, just like our industry. The world of payments is changing rapidly. More ❯

complex data engineering concepts. Present technical recommendations and project updates to senior leadership and stakeholders. Support the Head of Data Engineering in promoting best practices across data engineering and analytics teams. Contribute to documentation, reports, and formal papers on data engineering projects and initiatives. Having the ability to deal with resulting potentially aggressive/antagonistic situations. Provide and receive highly More ❯

rebate effectiveness Customer & Product Profitability: SKU-level work, cost-to-serve Inventory & Purchasing: ABC/XYZ classification, GMROI, excess stock Marketing: Customer lifecycle, RFM, promotion effectiveness Web & eCommerce: Google Analytics, conversion optimisation Skills & Experience Essential Strong SQL proficiency for data extraction and transformation Advanced Excel (pivot tables, VLOOKUPs, formulas) Power BI or Tableau experience Python familiarity (pandas, numpy) Proven data … with large, complex datasets History of delivering practical insights Strong communication skills Desirable Wholesale/distribution/supply chain experience ERP systems exposure (SAP, Dynamics, Oracle) Salesforce and Google Analytics experience Soft Skills Exceptional problem-solving with attention to detail Business acumen - connect insights to outcomes Explain technical concepts to non-technical audiences Curious and self-motivated Comfortable in fast … interview with senior professionals How to Apply Send your CV to Mohammed Buhariwala or connect on LinkedIn. Keywords: Senior Insight Analyst, Data Analyst, SQL, Power BI, Tableau, Python, Distribution Analytics, Inventory Analytics, eCommerce Analytics, FP&A, Midlands, Hybrid More ❯

design, develop, test, and deploy data science models to answer strategic business questions and turn data into actionable insights for the organisation. You will be responsible for developing advanced analytics products using Microsoft Azure ML Studio, Python, and Power BI. You will be involved in business conversations to understand requirements, analyse datasets, estimate and productionise machine learning models, and communicate More ❯

pipelines and architectures, ensuring reliability, performance, and best-in-class engineering standards Leverage Databricks, Spark, and modern cloud platforms (Azure/AWS) to deliver clean, high-quality data for analytics and operational insights Lead by example on engineering excellence, mentoring junior engineers and driving adoption of DevOps and CI/CD best practices within the data function Contribute to the More ❯

a dynamic and collaborative environment. Key Responsibilities Analyze and understand business requirements related to core insurance data (e.g., policies, claims, customers, billing) to support modeling, data migration, reporting, and analytics initiatives. Collaborate with business stakeholders (such as business analysts, project managers, actuaries, and finance teams) and technical teams to document and validate data requirements. Define, document, and maintain comprehensive data More ❯