Data Analyst
KEY RESPONSIBILITIES
Commercial & Revenue Analytics
Analyze sales performance by SKU, brand, customer, and region
Monitor margins, pricing movements, and product profitability
Identify fast-moving, slow-moving, and high-growth product categories
Provide actionable insights and recommendations to management
Business Opportunity Development
Identify market gaps, expansion areas, and new product opportunities
Prepare business cases for new brands, product launches, and bulk purchase plans
Support development of annual growth and demand forecasts
Strategic Planning Support
Build data models for:
sales forecasting
inventory planning
container and import planning
Prepare reports and presentations for supplier meetings and strategic reviews
Performance Tracking & Dashboards
Develop and maintain dashboards for:
new product performance
sales team performance vs targets
key account growth
event and campaign ROI
Cross-Functional Collaboration
Work with Sales, Procurement, Finance, and Operations to align data and growth plans
Support management in special strategic projects
SUCCESS IN THIS ROLE
Within the first 6–12 months, the hire is expected to:
Deliver regular opportunity and performance insights
Improve forecast accuracy and inventory planning visibility
Provide data used for key business and supplier decisions
QUALIFICATIONS
Education
Bachelor’s degree in any of the following:
Industrial Engineering
Management Engineering
Business Analytics
Finance
Economics
Mathematics or other analytical fields
Experience
2–4 years experience in:
business analytics
commercial analytics
strategy
finance
distribution / FMCG / automotive industry
(Fresh graduates with strong internships and exceptional analytical skills may apply)
Technical Skills
Required:
Advanced Excel / Google Sheets
Strong data analysis and financial modeling skills
Preferred:
Power BI / Tableau or similar visualization tools
CORE COMPETENCIES
Strong analytical and structured thinking
High attention to detail
Business and commercial awareness
Proactive and self-driven
Able to translate data into actionable recommendations
Strong presentation and communication skills