Data Analyst

As a Data Analyst, you will work with colleagues across the business to turn data into clear, useful insights that support better decision‑making. You will help understand business questions, prepare and analyse data, and present findings in ways that are easy to understand and act on.

This is a hands‑on role suited to an early‑career analyst or someone developing their data analytics skills. You will collaborate closely with experienced analysts and data scientists while continuing to build your technical knowledge and business understanding.

• Collect, clean, validate, and transform data using SQL and cloud‑based data tools.
• Build and maintain clear, reliable Power BI dashboards using good data modelling practices.
• Produce concise insight summaries for teams such as Sales, Product, Marketing, Finance, and Customer Growth.
• Translate business questions into structured analytical tasks and meaningful outputs.
• Present insights in clear, engaging ways for non‑technical audiences.
• Contribute to scalable and reusable reporting solutions with a focus on data quality.
• Support process improvements, automation, and documentation.
• Follow and promote good data governance and consistent analytical practices.
• Work collaboratively in iterative, agile delivery cycles.

• Experience working with data through work, study, training, or practical projects.
• Strong SQL skills, including working with large datasets.
• Experience using Power BI, including DAX, Power Query (M), and data modelling.
• Confidence using Excel for analysis and reporting.
• Familiarity with cloud data platforms such as Azure Data Warehouse/Synapse, Azure Data Lake, or Databricks is helpful but not required.
• A basic understanding of analytical and statistical concepts, with interest in learning more.
• Ability to explain data insights clearly and thoughtfully.
• Good organisation skills and attention to detail.
• Curiosity, reliability, and a willingness to learn new tools and concepts.

Nice to Have (Not Required)

• Exposure to PySpark or other distributed data processing tools.
• Familiarity with Tableau or other data visualisation tools.

Working for you: We know that your wellbeing and happiness are key to a long and successful career. These are some of the benefits we are delighted to offer:

• Generous holiday allowance with the option to buy additional days

• Health screening, eye care vouchers and private medical benefits

• Wellbeing programs   

• Life Assurance                                                                                         

• Access to a competitive contributory pension scheme

• Save As You Earn share option scheme

• Travel Season ticket loan

• Electric Vehicle Scheme

• Optional Dental Insurance

• Maternity, paternity and shared parental leave

• Employee Assistance Programme

• Access to emergency care for both the elderly and children

• RECARES days, giving you time to support the charities and causes that matter to you

• Access to employee resource groups with dedicated time to volunteer

• Access to extensive learning and development resources

• Access to employee discounts scheme via Perks at Work