Senior Data Analyst

Senior Data Analyst Location:Nottingham- Hybrid 1 day per month in the Office Salary:£450-£500 per day via Umbrella Contract;3 months with opportunity for extension Role Overview We are seeking a highly skilled Senior Data Analyst to join our Operations Data team and support high‑value transformation and change programmes. This role is pivotal in shaping data strategy, delivering end‑to‑end analytical solutions, and driving data‑led decision‑making across the business. The ideal candidate combines technical excellence, strong industry expertise, and the ability to operate autonomously in a fast‑paced, highly empowered environment. You will lead complex analytical projects, represent data in transformation initiatives (including MHHS, RMR, Smart Mandate, system migrations and SOLR), and design and deliver scalable data solutions using SQL, Python and Databricks. Key Responsibilities Data Leadership & Stakeholder Engagement • Act as a senior representative of data across cross‑functional transformation programmes, defining requirements, understanding business problems, and shaping data-driven solutions. • Lead consultations with technical and non‑technical stakeholders, applying a structured approach to requirements gathering and solution design. • Communicate insights clearly through compelling narratives, ensuring alignment and actionability for senior stakeholders. Analytical Expertise & Insight Delivery • Identify, source and analyse key datasets, applying the most relevant analytical techniques, including segmentation, root-cause analysis, modelling and dashboarding. • Build high‑quality, insight‑driven outputs that inform decision‑making across operations, customer intelligence, billing, prepayment and industry processes. Technical Project Delivery • Own complex, end‑to‑end data projects: design, build, test, validate and sign off solutions. • Build robust, scalable data pipelines and analytics assets using SQL, Python and Databricks. • Apply best‑practice engineering principles, including version control (Git), CI/CD alignment and high‑quality documentation. Continuous Improvement & Innovation • Drive improvement of data processes, analytical models and data products, contributing to the team’s maturity and scalability. • Operate with a start‑up mindset—hands‑on, proactive, and comfortable rolling up your sleeves to solve any problem. Essential Experience & Skills • Minimum 4+ years experience as a Data Analyst within the energy / utilities sector (billing, metering, industry operations or prepayment). • Strong expertise with SQL and Python (mandatory). • Proven experience with Databricks and cloud‑based data pipeline development. • Strong analytical toolkit including advanced analytics, modelling and segmentation. • Experience working on major industry change programmes (e.g., MHHS, RMR, Smart Mandate, system migrations, SOLR). • Excellent problem solving, critical thinking and curiosity‑driven mindset. • Outstanding communication skills, able to translate complex concepts for non‑technical audiences. • Ability to work independently, prioritise effectively and manage multiple projects concurrently. Desirable Experience • Experience with Tableau or other visualisation tools (not essential for pipeline‑focused roles). • Familiarity with Git-based branching strategies and pull request workflows. • Broader experience across analytics engineering desirable but Data Analyst specialism preferred. Additional Information • Strong stakeholder management required (mostly mid to lower seniority). • Must be proactive, self‑starting and confident delivering independently.