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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Data Analyst - **Company:** TEKsystems - **Location:** UK - **Contract:** Temporary to permanent - **Skills:** Data Analysis, Data as a Services, Database Queries, Dimensional Modeling, Document-Oriented Databases, SQL Databases, Snowflake - **Published:** September 3, 2026 - **Apply:** https://www.totaljobs.com/job/data-analyst/teksystems-job107932741 ## About the Role * Strong SQL skills, including complex joins, data-quality analysis and reconciliations. * Hands-on data analysis experience within financial services or a similarly complex environment. * Practical knowledge of commercial or corporate lending data, such as: + C&I lending + Loan booking + Credit risk + Lending or asset portfolios * experience combining data from multiple systems where definitions or documentation may be incomplete. * The ability to understand the financial and risk meaning of data, not solely its technical structure. * Strong stakeholder engagement skills, with the confidence to identify subject-matter experts, ask focused questions and clearly document outcomes. * A curious, persistent and pragmatic approach to investigating data issues. Desirable experience * Knowledge of commercial lending products and pricing structures, including base-rate and risk-free-rate lending. * Understanding of credit-risk and portfolio measures, including PD, EAD, LGD and RWA. * experience with AWS data services, particularly Athena, and/or Snowflake. * Knowledge of dimensional modelling, fact tables and standardised data definitions. * Exposure to portfolio forecasting or predictive modelling. * experience with Amazon QuickSight or other business-intelligence tools. ## Description A leading financial services organisation is seeking an experienced Data Analyst to join a major asset intelligence and balance sheet modernisation programme. You will help create a trusted, facility-level view of the organisation's commercial lending portfolio by bringing together loan, exposure, risk and financial data from multiple systems. This data will support portfolio forecasting, in-life management and forward-looking balance sheet decisions. This is a hands-on role requiring strong SQL skills, commercial lending knowledge and the curiosity to investigate complex or lightly documented datasets. You will work closely with business and technical subject-matter experts to establish how data connects, resolve inconsistencies and translate findings into clear data rules and requirements. Key responsibilities * Use SQL to extract, profile, join, reconcile and analyse commercial lending and asset data. * Investigate data gaps, inconsistencies and reconciliation differences across multiple source systems. * Trace issues back to source definitions, business rules and system-specific nuances. * Work with lending, asset finance, credit risk, treasury and data specialists to understand the operational meaning of data. * Document data lineage, definitions, transformation rules and migration paths. * Translate business questions into functional data requirements and practical data models. * Support the development of facility-level datasets covering balances, limits, product dimensions and credit-risk measures. * Contribute to daily stand-ups, collaborative problem-solving and documentation within an Agile delivery team. ## Related Videos - [Data Science in Retail](https://www.wearedevelopers.com/videos/586-data-science-in-retail) - [How Cisco embraced a DevOps culture within its network engineering team](https://www.wearedevelopers.com/videos/99-how-cisco-embraced-a-devops-culture-within-its-network-engineering-team) - [Fault Tolerance and Consistency at Scale: Harnessing the Power of Distributed SQL Databases](https://www.wearedevelopers.com/videos/1146-fault-tolerance-and-consistency-at-scale-harnessing-the-power-of-distributed-sql-databases) - [Beyond SQL Generation: How to Teach Agents What Your Database Actually Means](https://www.wearedevelopers.com/videos/100127-beyond-sql-generation-how-to-teach-agents-what-your-database-actually-means) - [From Messy Queries to Scalable Systems - How Data Engineering actually works](https://www.wearedevelopers.com/videos/100203-from-messy-queries-to-scalable-systems-how-data-engineering-actually-works) - [How building an industry DBMS differs from building a research one](https://www.wearedevelopers.com/videos/768-how-building-an-industry-dbms-differs-from-building-a-research-one) ## Related Articles - [Data Analyst Salary in the UK](https://www.wearedevelopers.com/magazine/278-data-analyst-salary-in-the-uk) - [Making Data Warehouses Fast: A Developer’s Story](https://www.wearedevelopers.com/magazine/107-making-data-warehouses-fast-a-developer-s-story) - [Data Engineer Salary UK](https://www.wearedevelopers.com/magazine/253-data-engineer-salary-uk) - [Data Analyst Salary in Switzerland](https://www.wearedevelopers.com/magazine/276-data-analyst-salary-in-switzerland) - [Data Analyst Salary Germany](https://www.wearedevelopers.com/magazine/277-data-analyst-salary-germany) - [Top Big Data Technologies That You Need to Know](https://www.wearedevelopers.com/magazine/108-top-big-data-technologies-that-you-need-to-know)