Sports Data Analyst (Club/Academy)

Sports

K sh 130,000 – 210,000 gross / month

Openings: 1 Location: Nairobi – Upper Hill (Ragati Rd / Hospital area) Overview: Our client is looking for a Sports Data Analyst to turn GPS, event data, and video tags into insights that coaches can act on. You’ll build simple dashboards, pre/post-match reports, and player development summaries. Clarity over complexity, your impact is measured by decisions improved. Key Responsibilities: - Clean/merge GPS & event datasets; tag video where needed. - Build dashboards (work rate, xG-style chances, set-piece outcomes). - Produce pre/post-match packs & player IDP reports. - Train coaches on reading visuals; gather feedback. - Maintain data dictionary, archives, and access controls. Education & Experience: - Stats/CS/Sports Science + 2–4 yrs in sports analytics preferred. Skills & Tools: - SQL/Excel, basic Python/R, video tagging tools (Hudl/Wyscout), storytelling. KPIs: - Coach adoption, predictive accuracy, cycle time to deliver, and data quality. Compensation (Kenya): KES 130,000–210,000 + win/season bonuses. Client estimates vary with stack & league. Benefits: - Medical, kit, CPD/courses. Growth Path: - Senior Analyst → Performance Lead → Director of Analytics. Ideal promotion cycle.