Lead Data Analyst

Job Title: Lead Data Analyst
Location: Holborn, London (Hybrid - 3-4 days per week in office)
Contract: 3-Month Contract (Outside IR35)
Day Rate: £500-£600 per day
Start Date: ASAP
Interview Process: 2 Stages

Join a dynamic and growing data-led sports marketing agency as a Lead Data Analyst, delivering strategic and technical insights across some of the world's biggest sports brands. This is a unique opportunity to work at the intersection of sports, data and strategy in a fast-paced, client-facing role. The role offers a 50/50 balance between hands-on technical work and strategic thinking. This agency has been a key player in the sports marketing landscape for over 20 years.

• Lead and deliver analytics work across multiple client projects (typically 3-4 at a time).

• Design and deliver bespoke analytics projects such as segmentation, LTV modelling, pricing optimisation, and CRM integration.

• Conduct full data audits for clients and create strategic roadmaps for digital and data transformation.

• Develop dashboards and reporting tools using Power BI, BigQuery, and Looker.

• Merge online and offline data sources into unified reporting structures.

• Act as a product owner for data-driven initiatives, translating client needs into actionable deliverables.

• Liaise with stakeholders both internally and externally, including client strategy teams and internal board members.

Must-Have Skills:

• Strong SQL and experience working with Google Cloud Platform, particularly BigQuery

• Dashboarding and reporting experience with Power BI and/or Looker

• Proficiency in Python for data analysis and modelling

• Experience delivering bespoke analytics projects using 1st party data (e.g. LTV, segmentation, churn models)

• Strong client-facing and stakeholder management experience

• Ability to manage multiple deliverables in parallel in a fast-paced, project-based environment

Nice-to-Have Skills:

• Exposure to Tableau, Google Analytics, Salesforce, or other major digital and CRM platforms

• Experience in the sports industry or retail working with complex and large dataset