Operations Data Analyst (Ops Intelligence)

Operations

K sh 100,000 – 180,000 gross / month

Openings: 1 Location: Nairobi – Ngara (Murang’a Rd) Overview: Here’s the deal: the data won’t present itself, and neither will the insights. You’ll take messy shop-floor and service numbers, standardize them, and turn them into dashboards that actually get people to act. This isn’t Excel for show leaders will make decisions based on what you reveal. Expect to automate, clean, and document like a wizard. Daily dashboards, weekly reports, and the occasional deep-dive rabbit hole will become your second nature. Bonus points if your charts tell a story before anyone asks the question. You’ll also be the translator between ops and finance: training managers, setting targets, and running post-mortems that actually lead to fixes. If turning raw numbers into actionable intelligence makes your pulse quicken, this role is calling your name. Key Responsibilities: - Build single-source datasets; clean and document definitions. - Automate daily/weekly dashboards (service, cost, quality, safety). - Run deep dives; present insights and experiments. - Partner with Ops/Finance on target setting and post-mortems. - Train managers on reading and using data. Education & Experience: - BCom (BIS/Operations/Finance) or Diploma + analytics certificate. - 2–4 years of data/BI in ops, retail, or logistics. Skills & Tools: - SQL, spreadsheets, BI (Data Studio/Power BI/Looker), storytelling. KPIs: - Adoption rate, time-to-insight, decision impact, data quality. Compensation (Kenya): KES 100,000–180,000 + annual bonus. Figures are client estimates and may vary depending on experience. Benefits: - Medical, training, hybrid stipend. Growth Path: - Senior Analyst → Ops Intelligence Lead → Operations Excellence Manager. Ideal hierarchy and expected promotion cycle.