Technical Data Business Analyst - Digital Trading Analytics

Hybrid, 3 days/week from office is mandatory Contract duration: 12 to 24 months, depending on performance Contract Inside IR35 Location: London Industry experience required: Oil & Gas Minimum years of experience: 5+ years Role Overview We are looking for a hands-on Technical Data Business Analyst to support the delivery of data-centric initiatives within the Digital Trading Analytics (dTA) portfolio. This role is ideal for someone with a strong foundation in data analysis, data management, data quality, and stakeholder engagement—particularly in the context of trading, market data, and analytics platforms. You will work closely with data engineers, platform teams, and business users to define, test, and validate data solutions that support trading and analytics use cases. The role requires a strong understanding of data migration, reconciliation, and testing practices, as well as the ability to translate business needs into clear, testable data requirements. Key Responsibilities • Define and document business and data requirements for analytics and reporting solutions. • Perform data profiling, gap analysis, and root cause investigations to ensure data quality and consistency. • Lead and support data migration projects, including mapping, validation, and reconciliation of large datasets across platforms. • Collaborate with engineering teams to validate data pipelines and transformations. • Design and execute test plans for data products, including functional, regression, and UAT testing. • Work with market data feeds and reference data to support trading analytics use cases. • Translate complex business needs into structured data models and reporting logic. • Engage with stakeholders across trading, analytics, and technology to gather requirements and provide updates. • Support Agile delivery by contributing to backlog grooming, sprint planning, and story refinement. Required Skills & Experience: • Strong experience in data analysis, data reconciliation, and data testing. • Hands-on experience with SQL and at least one scripting language (e.g. Python). • Familiarity with relational databases and data warehousing concepts. • Experience working with market data, trading data, or financial reference data. • Exposure to data visualisation tools (e.g. Power BI, Tableau). • Understanding of Agile delivery practices and tools (e.g. Azure DevOps, JIRA). • Excellent communication skills and ability to work with both technical and non-technical stakeholders. Nice to Have: • Experience in energy or financial trading environments. • Familiarity with cloud-based data platforms (e.g. Databricks, Snowflake). • Knowledge of data governance, lineage, and metadata management. • Exposure to data cataloguing tools and data quality frameworks.