Lead Data Analyst

Salary: £62,000 - 102,000 per year

Requirements:

• Proven leadership experience managing and developing a team, providing guidance, and fostering a collaborative environment.
• Strong analytical skills with the ability to extract meaningful insights from complex datasets and demonstrate clear business impact.
• Technical expertise with SQL, Power BI, and Python/PySpark; Databricks is a plus but not essential.
• Confident stakeholder management skills, including engaging with senior stakeholders and translating data into compelling narratives that drive business decisions.
• A commercial mindset; background in operational or commercial analytics such as logistics, supply chain, or marketing within the private sector is highly desirable.
• Strong problem-solving ability and the capacity to turn data into real-world solutions that optimise operations.

Responsibilities:

• Lead a team of three analysts and help develop them into high-impact contributors who drive meaningful business improvements.
• Combine hands-on analytics and leadership in a roughly 50/50 split.
• Work closely with senior stakeholders to identify inefficiencies, optimise processes, and translate complex data into actionable insights.
• Balance hands-on technical problem-solving with strategic leadership to keep the team focused on delivering value.
• Automate and optimise reporting, moving from static reports to real-time, insight-driven analytics.
• Foster a data-driven culture within the business and champion best practices and the adoption of modern analytics tools.
• Focus on turning data into meaningful business decisions, insights, and storytelling.
• Drive operational efficiencies and influence key stakeholders across Finance, Commercial, Customer Service, and Operations.

Technologies:

• Databricks
• Marketing
• Power BI
• Python
• PySpark
• SQL

More:

We are seeking a Lead Data Analyst for a hybrid role based in Greater Birmingham. This is a unique opportunity to shape a growing analytics function, lead a team, and make a tangible impact on the business through analytics, automation, and operational excellence. We offer the chance to influence commercial and operational decisions, improve reporting efficiency, and help build a more data-driven culture across the organisation.

last updated 36 week of 2026