Business, strategic management Jobs for Mid-level in Kenya

3 jobs found

Victory Farms

Commercial Analyst

Nairobi

Kenya

AAA Growers

Merchandiser

Nairobi

Kenya

AfriCert Limited

Business Development Manager

Nairobi

Kenya

International Maize and Wheat Improvement Center (CIMMYT)

Product Manager, Dryland Crops Program (DCP)

Nairobi

Kenya

Closed for applications
Synnefa

Field Operations Engineer

Nairobi

Kenya

Closed for applications

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Root Capital

Junior Investment Officer

Nairobi

Kenya

Closed for applications
Victory Farms

Agriculture + 2 more

Commercial Analyst

Job details

Contract Type

Description

Skills and qualifications:

  • Bachelor’s degree in Business Administration, Economics, Finance, Accounting, Statistics, Management Information Systems, or a related field.
  • 4–5 years’ experience in commercial analysis, business analysis, sales reporting, or operations analytics.
  • Proven experience in preparing accurate commercial and sales reports.
  • Experience managing incentive, commission, or bonus calculations.
  • Advanced Excel skills (including formulas, pivot tables, and lookups).
  • Experience working with ERP, CRM, or commercial reporting systems.
  • Knowledge of Power BI is an added advantage.
  • Strong analytical skills with the ability to translate data into insights.
  • High attention to detail and accuracy
  • Strong communication skills and ability to work with cross-functional teams.


Responsibilities

Reporting & Analysis

  • Prepare daily, weekly and monthly sales reports.
  • Validate data for accuracy and consistency before sharing.
  • Highlight key trends and support the team with performance insights.

Incentives & Bonus Management

  • Prepare and verify bonus calculations.
  • Maintain clarity on bonus structures and updates.
  • Coordinate with Commercial Systems Manager, and HR to support smooth approvals and payouts.

Commercial Process Support

  • Manage pricing updates and sales data requests.
  • Maintain SOPs for key commercial processes.
  • Flag any process gaps or data inconsistencies.

Data Quality

  • Clean and reconcile data across systems.
  • Monitor data accuracy and coordinate resolution where needed.

Cross-Functional Collaboration

  • Support internal and external stakeholders as needed.
  • Communicate clearly and respond within agreed timelines.


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