1 to 25 of 80 Contract Analytics Jobs in the South East

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 ❯

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 ❯

and maintain scalable data pipelines across AWS and Azure environments to ingest, transform, and store data from multiple sources. Develop and manage data models, schemas, and metadata to support analytics, reporting, and operational requirements. Work closely with Data Analysts, Data Scientists, and Business Analysts to ensure data is accessible, high-quality, and fit for purpose. Implement data quality and validation More ❯

Data Architecture & Design Define and maintain enterprise data architecture standards, models, and frameworks. Design data solutions leveraging Azure services such as Azure Data Lake, Azure SQL Database, Azure Synapse Analytics, Azure Data Factory, and Azure Databricks. Data Integration & ETL Develop and optimize data pipelines for ingestion, transformation, and storage using Azure Data Factory and Databricks. Governance & Security Implement data governance More ❯

to enable profiling, monitoring, and remediation workflows.Partner with the Data Governance Lead to embed ownership, stewardship, and accountability for data quality across the organisation.Work closely with Data Technology and Analytics Enablement teams to integrate quality checks within ingestion, transformation, and reporting pipelines.Identify and prioritise Critical Data Elements (CDEs) and establish ongoing measurement and improvement processes.Develop data quality dashboards and reports More ❯

profiling, monitoring, and remediation workflows. Partner with the Data Governance Lead to embed ownership, stewardship, and accountability for data quality across the organisation. Work closely with Data Technology and Analytics Enablement teams to integrate quality checks within ingestion, transformation, and reporting pipelines. Identify and prioritise Critical Data Elements (CDEs) and establish ongoing measurement and improvement processes. Develop data quality dashboards More ❯

and problem-solving abilities Project Management: MS Project, Jira, Confluence, Asana, Trello, or similar Collaboration & Communication: Microsoft Teams, Outlook (for meeting management & scheduling), SharePoint, OneDrive,Miro/MURAL Reporting & Analytics: Power BI, Tableau, advanced Excel; strong ability to produce quarterly, annual, and executive- level reports. Governance & Compliance: ServiceNow, Archer GRC, or similar platforms Strong report-writing and presentation skills, with 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 ❯

Hands-on experience with Azure Data Factory, Azure Data Lake, and Azure SQL Database. Exposure to big data technologies such as Hadoop, Spark, and Databricks. Experience with Azure Synapse Analytics or Cosmos DB. Familiarity with data governance frameworks (e.g., GDPR, HIPAA). Experience implementing CI/CD pipelines using Azure DevOps or GitHub. Understanding of real-time data streaming tools 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 ❯

Qualifications: • 6+ years of experience in applied data science, machine learning, or analytics leadership. • Strong understanding of model lifecycle management, experimentation frameworks, and data science governance. • Familiarity with MLOps concepts and tooling (e.g., MLflow, Kubeflow, Vertex AI, SageMaker, Azure ML). • Hands-on experience with data science tools and languages such as Python, R, SQL, and relevant frameworks (e.g., scikit More ❯

IR35 6-month contract London-based - hybrid working Working with a FTSE 250 organisation who are looking for a Fabric Data/BI Engineer to help create and drive analytics solutions. BI/Data Engineer, key skills: Microsoft Fabric experience Proven data engineering experience - setting up complex ETL processes with ADF pipelines Data visualisation and reporting using PowerBI Data modelling More ❯

practices, with the ability to deliver high-quality solutions in a fast-paced environment. Key Responsibilities Design and implement scalable data pipelines using Azure Data Factory , Databricks , and Synapse Analytics . Develop and optimise ETL processes for structured and semi-structured data. Work with SQL and Python for data transformation and modelling. Integrate data from multiple sources, ensuring accuracy, consistency More ❯

with the ability to identify and prioritize fundamental and quantitative analysis/modelling that provides commercial insights to the trading organization. Strong communication skills with the ability to communicate analytics to necessary stakeholders and influence commercial decisions. Develop and implement fundamental balances, pricing models and other tools to surface commercial opportunities within the low-carbon, power, gas, and oil markets More ❯

engineering best practices - testing, automation, clean code, and CI/CD. Proven track record building and maintaining scalable data platforms in production, enabling advanced users such as ML and analytics engineers. Hands-on experience with modern data stack tools - Airflow, DBT, Databricks, and data catalogue/observability solutions like Monte Carlo, Atlan, or DataHub. Solid understanding of cloud environments (AWS More ❯

Digital Analytics Manager Location: London (Hybrid: 3 days a week)Duration: 6 Months, with a strong potential for extensionRate: Circa £400 - £575 per day Inside IR35 We are looking for a highly experienced and passionate Digital Analytics Manager to join the fast-paced environment of a major, world-class financial institution-a key player in global finance-in London. This … role aimed at driving sophisticated, data-driven decision-making across the entire organization. The ideal candidate will possess deep subject matter expertise in the Adobe Experience Cloud, particularly Adobe Analytics (AA), Implementation, and the evolving domain of Customer Journey Analytics (CJA). Key Responsibilities - The Adobe Analytics Manager is pivotal in ensuring accurate data collection and actionable reporting across digital … properties. Configuration & Implementation: Lead configuration, implementation, and maintenance of Adobe Analytics and Data Collection for accurate insights. Data Strategy: Define and implement the comprehensive data strategy to optimize digital performance and user experience. Tag Management: Own and manage all internal/third-party tag implementations via a Tag Management System (TMS) for data integrity. Insights Generation: Deliver robust reporting and More ❯

business requirements into effective BI solutions. Build insightful, visually engaging dashboards tailored to finance stakeholders. Apply data storytelling techniques to support informed decision-making. Promote and support self-service analytics adoption across departments. Skills & Requirements Proven Power BI development experience. PL-300 certification (Microsoft Power BI Data Analyst). Strong SQL skills . Excellent communication and stakeholder engagement capabilities. More ❯

improve the customer journey. Experiment: Support A/B testing and digital experience evaluations by analyzing performance and quantifying business impact. What You'll Bring: 8+ years in Data Analytics/Science. Expertise in SQL and dashboarding tools ( Tableau/Qlik ). Familiarity with big data tools ( Snowflake, Databricks ) and ETL . Experience with A/B testing and Python More ❯

Job Description: Data Engineer (with Tableau Specialism) Responsibilities: * Design, develop, and manage data models, schemas, and metadata to support advanced analytics and reporting requirements. * Work closely with Data Analysts, Data Scientists, and Business Analysts to ensure data availability, accessibility, and usability across the organisation. * Implement data quality checks, validation routines, and monitoring processes to maintain data integrity and reliability. * Optimise More ❯

Data & Analytics - Gen AI Engineers x 2 + fully remote contract + initially 6 months + £500 to £530 per day - Inside IR35 Key Skills: + Design of Gen AI Models + RAG + AI/ML Pipelines The Role: + Design, prototype, and deploy Generative AI models (LLMs, Transformers, Diffusion models) for enterprise use cases. + Build and fine More ❯

engineering capability to strengthen our AI-driven learning ecosystem. WHAT YOU WILL BE DOING: Design, build, and maintain ETL/ELT data pipelines and integrations to support platform and analytics needs. Develop scalable, reliable data architectures using GCP, MongoDB, PostgreSQL, and Python. Collaborate with cross-functional teams to define and implement data models and storage strategies. DATA ENGINEER - ESSENTIAL SKILLS More ❯

to influence and communicate effectively at C-suite level. Analytical Skills: Strong data-driven decision-making and reporting capabilities. Desirable Experience with global HR transformation programs. Knowledge of talent analytics and workforce planning tools. Change management certification (e.g., Prosci). IND_PC3 Guidant, Carbon60, Lorien & SRG - The Impellam Group Portfolio are acting as an Employment Business in relation to this More ❯

level of service to Finance and the wider business. Proactively identify opportunities to make enhancements and improvements to Aderant and the other finance systems. Improving the reporting and data analytics capability to increase efficiency and productivity across Finance. Engage in multiple cross-departmental finance system improvement projects. Requirement gathering through engagement with key stakeholders, translating complex business requirements and processes More ❯

Manage integrations with third-party systems (e.g. Expensify, Salesforce, Bill.com, ADP). Administer user roles, permissions, and access controls. Support API connections, data migrations, and system development projects. Reporting & Analytics: Develop and optimise dashboards, reports, and financial data extracts. Support month-end, quarter-end, and year-end reporting processes. Ensure timely and accurate delivery of system-generated reports to key More ❯