1 to 25 of 108 Remote Contract Analytics Jobs

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 ❯

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 ❯

Position: Analytics Engineer Location: London (hybrid 3 times a week) Department: IT Type: 3 months rolling contract Outside 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 … 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 ❯

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 ❯

seeking a BI Fabric Developer/Engineer to help transition its data platforms into Microsoft Fabric workspace. This is a unique opportunity to work on cutting-edge BI and analytics solutions that drive strategic decision-making across the business. Key Responsibilities Lead the migration of data platforms into Microsoft Fabric for enhanced reporting and stakeholder access. Design and maintain data 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 ❯

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 ❯

separation or integration of systems. Partner with business stakeholders, IT, and program leads to translate business requirements into actionable data strategies. Provide thought leadership on data management, governance, and analytics best practices. Support design and delivery of data migration and data quality improvement initiatives. Create and maintain data models, dictionaries, lineage documentation, and related artefacts. Advise on data platform choices More ❯

Mary's Hospital. An exciting opportunity has arisen for a Workforce System's Analyst at Northamptonshire Healthcare Foundation Trust. The post holder will support the provision of information and analytics to the Trusts business needs. The role requires analytical skills and the ability to guide and advise on business intelligence and information management. We are seeking excellent communication skills and 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 ❯

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 Governance: Understanding of data quality, data lineage, and metadata management principles. ETL/ELT Processes: Experience designing and implementing data integration workflows. Business Intelligence: Knowledge of reporting and analytics platforms (Power BI, SSRS, or similar) Data Warehousing: Experience with dimensional modelling and data warehouse architecture patterns API Integration: Understanding of REST/SOAP APIs and data service architectures. Data 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 ❯

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 ❯

with IT and data engineering teams on ETL processes and data lake ingestion.? Ensure secure handling of sensitive data and adherence to retention ? Support Power BI reporting setup for analytics and operational MI. Key Experience Proven experience in business and data analysis within insurance or broking environments.? Strong understanding of claims lifecycle, data governance, and regulatory frameworks.? Proficiency in Excel More ❯

Scala (essential) Solid understanding of Apache Spark, Delta Lake, and distributed data processing concepts Hands-on experience with Azure Data Lake Storage Gen2, Azure Data Factory, and Azure Synapse Analytics Proficiency in SQL and Python for data transformation and pipeline logic Please note: you will be working in a US time zone. Please contract/01676545407 to discuss in more More ❯

competitive advantage. The Data Scientist will be responsible for designing and implementing data-driven solutions to address business problems and collaborate with cross-functional teams to deliver high-quality analytics solutions. The Data Scientist will have experience in using a variety of techniques to analyse complex datasets and develop data models. You will be experienced in data visualisation, understanding how More ❯

and external stakeholders, offering sound recommendations. Highly organized and capable of managing multiple priorities simultaneously. Experience with regulatory reporting platforms such as Suade is advantageous. Familiarity with data and analytics tools including Alteryx, Power BI, Python, and advanced Excel is preferred. Risk & Conduct Responsibilities: Accountable for identifying and escalating operational risk events in line with internal policies. Expected to uphold More ❯

contracts Degree or equivalent experience in a relevant discipline MSP Practitioner or equivalent, plus certifications in Agile methodologies In-depth understanding of digital technologies (e.g. cloud, AI, IoT, data analytics) Strong analytical, strategic thinking, and communication skills Proficiency in project management tools (e.g. Jira, Asana, MS Project, DevOps) Full valid UK driving licence Public Sector Experience is essential More ❯

contracts · Degree or equivalent experience in a relevant discipline · MSP Practitioner or equivalent, plus certifications in Agile methodologies · In-depth understanding of digital technologies (e.g. cloud, AI, IoT, data analytics) · Strong analytical, strategic thinking, and communication skills · Proficiency in project management tools (e.g. Jira, Asana, MS Project, DevOps) · Full valid UK driving licence * Public Sector Experience is essential More ❯

quality, observability, and governance, while helping shape a platform-as-a-product mindset. Key responsibilities include: Building and maintaining data infrastructure: Develop microservices, pipelines, and backend systems that power analytics and machine learning initiatives. Driving platform evolution: Design and implement scalable, secure, and efficient data services using tools such as Terraform, Docker, and AWS. Data governance and observability: Introduce and More ❯