Data Analyst – Sales

Kenya Wine Agencies Limited (KWAL) was incorporated in 1969 and over the years KWAL has become a leading East African beverage champion in the manufacturing, exporting and importation of a wide range of alcoholic and non-alcoholic beverages. KWAL is a HEINEKEN OpCo.

Title: Data Analyst – Sales
Function: Commerce
Sub Function: Commerce – Sales – Trade Marketing
Type of Contract: Fixed Term
Closing Date: 11-03-2025

Job Purpose

The job holder will be responsible for supporting successful roll out of KWAL distributor management system (DMS). This role is responsible for analysing sales and distribution data, assessing system performance, and providing insights to drive informed decision-making. The analyst will work closely with cross-functional teams to ensure data accuracy, optimize workflows, and enhance system adoption, ultimately improving sales operations and distributor effectiveness.

Responsibilities and Accountabilities

• Collaborate with cross-functional teams, including sales, marketing, RTC and supply chain, to identify data needs
• Work closely with the Infosys team to ensure data availability in the required analytics tool and data lake
• Analyze and interpret data related to secondary sales
• Help with development and maintenance of dashboards and reports to provide insights into sales performance, inventory levels, and distribution efficiency.
• Monitor key performance indicators (KPIs) (Eg Market reach/coverage) and provide actionable recommendations to improve sales visibility and supply chain efficiency
• Conduct root cause analysis to identify trends, anomalies, and opportunities for process improvement.
• Should be able to use data analytics tools and techniques (Eg Power BI) to support decision-making and strategic planning.
• Ensure data integrity and consistency across various data sources and systems eg comparison between Sell-in and sell out.

Minimum Requirements

• Bachelor’s degree in data science, Statistics, Mathematics, Computer Science, Economics, or Business Analytics.
• Practical experience in use of MS packages and ERP systems.

Competencies/Attributes

• Advanced Data analytics
• Advanced Excel knowledge
• Extreme detail orientation (with and for repetitive data intensive work)
• Self-motivation and management
• Stakeholder engagement