4 of 4 SQL Data Analyst Jobs in London

Data Analyst, Data Engineer, SQL, Informatica, ETL, Data Ingestion, Data Integration, Data Analytics, Data Science There is a new role with an industry-leading Data Analytics and Data Science company based in London, looking for a Data Analyst/Data Engineer to join their business and build … a career within the business. Established six years ago, the company have grown rapidly and are now recognized as one of the industry leaders in the Data Analytics/Data Science space. They provide complex data solutions for blue chip and enterprise grade clients using cutting-edge data and cloud technology. They are looking for a … Data Analyst/Data Engineer to work across all areas of the business, defining data requirements across business units, analysing the relationships of data and technical data feed requirements aswell as working in proximity to architects on the Data Warehouse design, build and deployment This is a junior role, and as such will More ❯

Data Analyst (SQL, PySpark, Python) London - Hybrid (2 Days Onsite) Inside IR35 - Daily Rate Our client is seeking an experienced Data Analyst to support a key client engagement within their professional services division. This is an initial 1 year contract based in London , operating on a hybrid basis (2 days onsite per week) and falling … inside IR35 . Key Responsibilities: Independently manage data extraction, cleansing, and transformation activities Develop production-grade analytics code using SQL, PySpark, and Python Analyze large-scale datasets to generate actionable insights and visualizations Collaborate across technical and business teams to drive data-driven decision making Required Experience: 3–5 years' hands-on experience in data analysis … insight generation, and data visualization Proven expertise in SQL and PySpark , with solid working knowledge of Python Background working with big data platforms , large datasets, and pipelines Strong analytical thinking and a collaborative, self-directed working style Experience in the Payments , FinTech , or financial services sector is highly desirable, though not mandatory More ❯

Data Analyst (SQL, PySpark, Python) London - Hybrid (2 Days Onsite) Inside IR35 - Daily Rate Our client is seeking an experienced Data Analyst to support a key client engagement within their professional services division. This is an initial 1 year contract based in London , operating on a hybrid basis (2 days onsite per week) and falling … inside IR35 . Key Responsibilities: Independently manage data extraction, cleansing, and transformation activities Develop production-grade analytics code using SQL, PySpark, and Python Analyze large-scale datasets to generate actionable insights and visualizations Collaborate across technical and business teams to drive data-driven decision making Required Experience: 3–5 years' hands-on experience in data analysis … insight generation, and data visualization Proven expertise in SQL and PySpark , with solid working knowledge of Python Background working with big data platforms , large datasets, and pipelines Strong analytical thinking and a collaborative, self-directed working style Experience in the Payments , FinTech , or financial services sector is highly desirable, though not mandatory More ❯

This is a fantastic opportunity to join a high-impact data project as a Data & Insight Analyst, contributing in a contract capacity for an initial six-month term. You’ll play a key role in owning and delivering critical insight that informs both operational and commercial decision-making within a data-led, customer-focused energy business. … While this is very much a front-end analytics role, it requires strong technical capability to extract, interrogate, and manipulate data using SQL—from writing queries and building statements to cleansing and preparing data sets. You’ll be working with complex retail ledger data such as sales transactions, payment histories, and defaults, helping shape business strategy … through clear, actionable insight. Key Responsibilities Write and optimise SQL queries to extract and transform large volumes of customer and financial data Analyse how customer behaviours—particularly around debt and payment history—impact the P&L Work with retail ledger data: sales, balances, payment records, and defaults Deliver clear, visual reports and metrics reflecting financial and customer More ❯