Talent Africa

Google Ad Placeholder – Slot: 4455667788

Demand Planner (Forecast Analyst)

Logistics & Supply Chain

K sh 110,000 – 190,000 gross / month

Openings: 1 Location: Nairobi – Parklands (First Parklands Ave) Overview: Our client is looking for a Demand Planner to own forecasting for a consumer goods portfolio sold in modern and general trade. The company mixes new launches with fast movers, so you’ll balance history with promo, price, and seasonal signals. Sitting with Sales and Marketing in Parklands, you’ll run the consensus forecast and explain bias and error like a scientist who speaks business. The role reports into S&OP. Key Responsibilities: - Build rolling SKU-level forecasts; track MAPE/Bias weekly. - Incorporate promo, price, cannibalization, and distribution changes. - Lead demand reviews with Sales/Marketing; publish consensus. - Maintain forecasting system/master data; clean anomalies. - Partner with Supply Planning on safety stocks and service targets. - Provide signal for NPI, delists, and phase-ins/outs. - Report risks/opportunities; drive actions with owners. Education & Experience: - BCom (Operations/Supply Chain/Statistics) or Diploma + strong analytics. - 2–4 years forecasting/demand planning (FMCG/retail). Skills & Tools: - Excel advanced, BI, forecasting systems (SAP IBP/Netstock/Anaplan), statistics basics. KPIs: - MAPE, Bias, forecast adoption, service level, inventory turns. Compensation (Kenya): KES 110,000–190,000 + performance bonus. Figures are client estimates and vary with experience and interview outcomes. Benefits: - Medical, training, and hybrid stipend. Growth Path: - Senior Demand Planner → S&OP Manager. Ideal hierarchy and expected promotion cycle.

Google Ad Placeholder – Slot: 5566778899

APPLY BELOW:Personal & Contact

Tip: use a professional email (e.g. jane.doe@example.com).

Documents

Required documents
CV required · Cover letter optional
Attach CV here

Application Questions

Do you calculate and present MAPE and Bias routinely? *
Have you run a monthly demand review with Sales? *
Comfortable modeling promo uplifts? *
Explain a time you reduced forecast error and what changed?
Which external signals do you track?
Your approach to NPIs with no history.
Example of a seasonal profile you built.
Notice period? *

Extras

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