2 of 2 Remote SQL Data Analyst Jobs in England

Senior Data Analyst | Snowflake, SQL, Python | Salary up to c. £70k | Remote (UK) | Immediate Start Role: Senior Data Analyst Tech Stack: Snowflake, SQL, Python Location: Remote (UK) Start Date: Must be able to start immediatlely Salary: Up to c. £70k About The Role Our partner is looking for a Senior Data Analyst to transform data into action, using platforms like Snowflake, SQL and Python alongside BI/dashboard tools. You will be a data-driven problem solver who thrives on turning complex information into clear insights and who can help shape the data strategy and empower decision-making across a high-growth, tech-driven organisation. This work … opportunity to grow your career while working on a variety of real-world products. Responsibilities Analysing large datasets to extract meaningful insights and trends that guide strategic decisions. Optimising data queries and pipelines using SQL and Python within a Snowflake environment. Supporting the design, build and maintenance of dashboards and data visualisations to support key business functions. 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 ❯