1 to 25 of 173 Contract 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 ❯

users whilst supporting data licensing and GDPR compliance. Respond efficiently to requests for intelligence from colleagues, partners and stakeholders as appropriate. Whats essential. Extensive working experience using Azure Synapse Analytics and Azure Data Factory Experience using GIS in a commercial or public sector environment and building mapping-based data analysis solutions Programming and scripting experience (e.g. FME, Python, DAX, JavaScript More ❯

Contract Opportunity: Data Engineer - 6-Month Inside IR35 Location: Milton Keynes (Hybrid - 3 Days in Office per Week) Duration: 6 Months IR35 Status: Inside IR35 Rate: Flexible, Depending on Experience We're looking for an experienced Data Engineer to join 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 ❯

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 ❯

incidents, requests, problems, changes, and assets in the Digital & Data team. Develop and maintain best practices for data management from source to visualisation (data prep, integration, modelling, testing, reporting, analytics). Document deployed data solutions (process flows, security, error handling, etc.) Maintain and support existing data management solutions. Deliver training to business users on published data models and reports. Experience More ❯

support strategic planning and operational improvements.* Work closely with the data engineering team to ensure the smooth flow of data from multiple sources.* Stay up to date with emerging analytics tools and techniques to continuously improve reporting and analysis processes. Profile * The Data Analyst will have proven experience with data analysis, reporting, and visualisation tools such as Power BI, Excel 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 ❯

with data engineers, BI developers, architects, and product owners to embed testing best practices across delivery. Essential Skills & Experience Proven experience as a Test Engineer within data engineering or analytics environments. Strong knowledge of Azure data services – Databricks, ADF, ADLS, Power BI. Proficiency in SQL and data profiling for test design and validation. Hands-on experience with test automation frameworks More ❯

key interface between business stakeholders and technical teams, gathering and translating requirements into robust data solutions. Your SQL expertise will be essential in validating data, building queries, and supporting analytics workflows. Key Responsibilities Requirements Gathering & Stakeholder Engagement Lead workshops and interviews to capture detailed business and data requirements. Translate business needs into clear, actionable technical specifications. Collaborate with cross-functional More ❯

strategy Desirable Skills Experience with Java (Spring Boot, Jersey, Maven) for back-end integration Familiarity with Agile methodologies and government digital service standards Knowledge of Power BI for embedded analytics and reporting Understanding of accessibility standards (WCAG) and responsive design principles What We're Looking For Proven experience delivering enterprise-grade PowerApps solutions Strong problem-solving skills and attention to More ❯

and CI/CD integration. Skilled in Azure Data Factory, Synapse, and Databricks for end-to-end data pipeline orchestration. Excellent SQL engineering capability; experience designing data models for analytics and operational reporting. Proven track record in the insurance or wider financial services sector , ideally with large dataset experience. Experience working in collaborative agile teams with CI/CD via More ❯

Business Intelligence Analyst/BI Officer An exciting opportunity for a Business Intelligence Analyst/BI Officer to use data visualisation and analytics to drive insight, inform strategy, and support continuous improvement across the organisation and the wider sport sector. If youve also worked in the following roles, wed also like to hear from you: Data Analyst, Reporting Analyst, Power More ❯

support to bank-wide projects. Performing data extraction, storage, manipulation, processing, and analysis and managing multiple analytical deliveries concurrently. Keeping up to date with the latest technical developments within analytics and making sure that changes to industry best practices are adopted. Conducting analysis including data gathering and requirements specification in collaboration with business stakeholders. Responsible for rule and list management More ❯

data architecture. Cloud certifications (AWS, Azure) or relevant security certifications (CISSP, ISO Lead Implementer) Experience with infrastructure-as-code, automation, and DevOps practices. Knowledge of cohort discovery tools, federated analytics, or privacy-enhancing technologies In depth experience implementing solutions in a secure by design principles, and a wider understanding of the Security Development Lifecycle (SDL) Comprehensive experience of project principles More ❯

resolving conflict and problems and challenging projects. Ability to coach and mentor others. Desirable Power BI use Data warehouse design Knowledge of NHS clinical coding Knowledge of AI predictive analytics Personal Attributes Essential Highly organised, with the ability to work to agreed goals, in a self-directed and professional manner. Flexible approach to working hours Self-motivated and ability to More ❯

data warehousing, ETL/ELT, and reporting solutions . Excellent communication skills; able to engage technical and non-technical stakeholders. Agile/Scrum experience. Desirable AWS certifications (e.g. Data Analytics, Solutions Architect). Experience with BI tools. Knowledge of government digital delivery standards (GDS). More ❯

data warehousing, ETL/ELT, and reporting solutions . Excellent communication skills; able to engage technical and non-technical stakeholders. Agile/Scrum experience. Desirable AWS certifications (e.g. Data Analytics, Solutions Architect). Experience with BI tools. Knowledge of government digital delivery standards (GDS). More ❯

with Azure Data Factory, Synapse, and SQL Database. Lead the migration of on-premises SQL Server/SSIS workloads into Azure. Design data lakes, marts, and models to support analytics and reporting. Integrate external sources including Google Cloud Platform. Drive data governance with tools like Azure Purview. Collaborate with architects, BI teams, and stakeholders to ensure seamless data access. Apply More ❯

with Azure Data Factory, Synapse, and SQL Database. Lead the migration of on-premises SQL Server/SSIS workloads into Azure. Design data lakes, marts, and models to support analytics and reporting. Integrate external sources including Google Cloud Platform. Drive data governance with tools like Azure Purview. Collaborate with architects, BI teams, and stakeholders to ensure seamless data access. Apply More ❯

best and scale success. Communicate the story: Present insights clearly to both technical and non-technical stakeholders, influencing strategy and operational improvements. What You'll Bring: Experience in Data Analytics or Data Science, ideally in Customer Success, Operations or Digital Team. Strong SQL skills and experience with dashboarding tools such as Tableau. Familiarity with Snowflake, Databricks, Spark, and ETL processes. More ❯

ideally we would prefer candidates with experience working to those arrangements. Essential skills: AWS Data Engineering Snowflake Databricks Responsibilities: Develop and manage data models, schemas, and metadata to support analytics and reporting needs. Collaborate with Data Analysts, Scientists, and Business Analysts to ensure data availability and usability. Implement data quality checks, validation routines, and monitoring to ensure data integrity and More ❯

optimisation best practices • Partner with business stakeholders and Data Business Partners to translate needs into BI solutions • Validate outputs and ensure accuracy against existing reports • Champion data use and analytics adoption across the organisation How to apply? For further details on the position and the company, please share your CV directly via the job advert. More ❯

practices , including version control, testing, and CI/CD. Desirable Skills Experience creating optimised data workflows and scalable AI solutions. Deep understanding of Microsoft Azure AI services. Strong data analytics and visualisation skills using Excel and Alteryx . Awareness of Responsible AI and ethical model design principles. More ❯

governance tools (e.g., Collibra, Informatica, Alation). Desirable: Certification in Data Governance or Data Management (e.g., DAMA, DCAM). Experience in change management and organizational transformation. Background in data analytics, business intelligence, or IT. Personal Attributes: Strategic thinker with a hands-on approach. Empathetic and adaptable communicator. Strong problem-solving and decision-making capabilities. Collaborative mindset focused on continuous improvement. More ❯