Business Intelligence Analyst

Job Summary

As a Business Intelligence Analyst, you will play a critical role in supporting the Head of Channel Management  and leadership team with data-driven insights, market intelligence, and performance analytics to sharpen competitive sales strategies and drive market dominance. Your analytical acumen and commercial mindset will help turn data into actionable business decisions.

Job Responsibilities

1. Sales & Market Intelligence:

• Analyze channel performance (MM , retail, online, telco, dealer ) to identify growth opportunities and gaps.
• Conduct competitor benchmarking (price, promotion, market share, product positioning).
• Provide insights on consumer trends, market segmentation, and emerging demands in mobile device and consumer electronics categories.

2. Business Strategy Support:

• Collaborate with Sales, Marketing, Product, and Finance teams to identify strategic levers and measure performance KPIs.
• Prepare dashboards and intelligence reports to track promotions, sell-in/sell-out trends, ROI on channel investments, and campaign effectiveness.

3. Forecasting & Modelling:

• Support monthly and quarterly forecast processes with data modelling, sell-in/sell-out projections, and scenario analysis.
• Create predictive models to identify high-value segments, churn risk, and cross-sell/up-sell opportunities.

4. Reporting & Visualisation:

• Develop automated reports and real-time dashboards using tools like Power BI, Tableau, or Looker.
• Present insights in a clear, concise, and compelling manner to senior stakeholders.

5. Competitive Intelligence & Field Analysis:

• Monitor market activities and gather field intelligence through trade feedback, secondary data (e.g., GfK, Canalys), and digital trends.
• Generate monthly “Competitive Playbooks” to help the salesforce stay ahead.

Job Requirements:

1.   Bachelor’s or Master’s degree in Business Analytics, Data Science, Economics, Statistics, or related fields.

2.   3–6 years in a Business Intelligence, Strategy, or Commercial Analytics role.

3.   Prior experience in mobile/consumer electronics, FMCG, telco, or ecommerce industries is highly preferred.

4.   Advanced Excel and SQL skills.

5.   Experience with data visualisation tools (Power BI, Tableau, etc.).

6.   Proficiency in statistical tools (Python, R) is a plus.

7.   Strategic thinking with high business acumen.

8.   Strong communication and storytelling with data.

9.   Self-driven with high attention to detail and accuracy and able to work in fast-paced, agile, and cross-functional environments.