Senior Data Analyst

About your team

At British Gas, our mission is to sell it and mend it.

We’ve been powering the UK’s homes and businesses for over 200 years – but supplying energy is just part of what we do. We’re making the UK greener and more energy efficient, getting closer to Net Zero. By using clever tech like thermostats, heat pumps, solar panels and EV chargers, we’re making it cheaper and easier for our customers to reduce their carbon‑footprint.

Flexible / Hybrid working

Full‑Time – Permanent

We work in a hybrid, Flexible First way — typically spending most of our week working from home but meeting within a Centrica office every quarter (generally Leicester). Whether you need to adjust your hours to fit your lifestyle or have specific needs that require a tailored schedule, we’re here to accommodate. Let’s work together to find a solution that works for you and benefits the team.

We are an analytics team that partners closely with the business to turn data into insight, decisions, and measurable value. Our purpose is to build a truly data‑driven culture where analytics is accessible, trusted, and integrated into everyday operations. We design high‑quality dashboards, reports, and data stories that deliver clarity and drive action. Acting as an extension of our stakeholders’ teams, we collaborate to spot opportunities, support performance, and enable better decision‑making.

Working alongside our data colleagues, we create robust, scalable data products and take ownership of BAU reporting, Power BI dashboards, standards, and continuous improvement.

• Analyse structured data to identify trends, insights, and opportunities that drive measurable business value
• Design, build, and maintain Power BI dashboards, reports, and data stories that meet agreed analytics and visualisation standards
• Contribute to and work with analytical data models to support scalable reporting and insight
• Partner closely with data engineers and other data professionals to ensure analytics are built on robust, well‑governed data foundations
• Validate data, metrics, and outputs to ensure accuracy, consistency, and trust
• Collaborate with stakeholders to understand their data requirements
• Translate analytical findings into clear insights, recommendations, and actions for stakeholders
• Support BAU reporting and RFIs while continuously improving automation and reducing manual effort
• Document data definitions, metrics, models, and analytics outputs in line with team standards
• Actively contribute to the improvement of analytics ways of working, standards, and data products
• Present findings and strategic recommendations to senior business stakeholders
• Mentor & guide data analysts

• Proven experience working in a data team
• Advanced SQL & data modelling skills
• Experience building analytics on top of a data warehouse or centralised data platform
• Strong Power BI experience, including Semantic/data modelling, DAX measures and performance‑aware report design
• Strong understanding of data quality, validation, and metric consistency
• Experience delivering analytics outputs that are scalable, reusable, and production‑ready
• Comfortable working within shared standards, documentation, and collaborative data environments
• Experience with statistical and mathematical methodologies
• Experience working with cloud data platforms (e.g. Snowflake, Big Query, Azure Synapse, Redshift)
• Understanding of ELT/ETL processes and data pipelines
• Experience measuring and tracking the success of analytics or data products
• Exposure to automation or AI‑enabled analytics where it adds clear value
• Strong experience in data storytelling to technical and non‑technical audiences

• Expert data analysis capabilities, drawing insight from information
• Expert data visualisation and reporting skills
• Expert proficiency in Excel and SQL skills
• Experience of data technologies (e.g. Azure, SQL Server)
• Strong experience with statistical and mathematical methodologies

• Strategic thinking on how Insight & Analytics can solve business challenges
• Strong experience with statistical and mathematical methodologies
• Strong influential communication with internal and external stakeholders, with a data storytelling ability
• Can work on well‑defined data analysis tasks, completing them accurately and on time
• Can work alone but also within a team, and thrives in a fast‑paced changing environment
• Growth mindset with an eagerness to learn