Business Intelligence Manager - (BI - Commercial Analytics)

This role will own commercial analytics and build advance solutions to empower data driven commercial strategy. The role will turn data into decisions that lift sales and margin, partnering closely with Buying, Pricing, Marketing, Finance, and Ops.

Key Responsibilities

Commercial Analytics & Reporting

Sales & Margin Performance: Build Buyer/Category scorecards & performance tracking solutions. Enforce guardrails, auto-alerts and precise

Price & Promo Science: Develop price index, price elasticity and set price/promo guardrails by category, channel, and region.

Customer Targeting & Marketing Automation: Operationalize segmentation for precise targeting across CRM/push/paid. Automate pipelines, bot-pushed insights to improve campaign ROI.

Forecasting & Modelling

Demand outlook: Clear view of expected sales by category, channel, and region across seasons, paydays, and events and early-warning signals.

Price & promo outlook: Simulate sales and margin under different price points and promo plans; recommended actions and trade-offs by category

Customer & campaign outlook: Expected acquisition, repeat, and retention by segment; projected lift from campaigns, placements, and assortment changes.

Data Governance & Enablement

Single source of truth: Certified datasets and KPI glossary with role-based access; privacy aligned to PDPA/GDPR.

Quality & controls: Data contracts, lineage, retention, and periodic checks; clear model/decision standards and auditability.

Team Leadership

People & practices: Mentor analyst, review code/notebooks/queries, and uphold documentation and reproducibility standards.

Stakeholder impact: Coach Commercial, Marketing, Finance & other stakeholders KPI interpretation; dashboard, model walkthroughs

Qualifications

610 years in Retail/E-commerce/CPG/ Consulting/ large MNCs with hands-on experience on developing commercial solutions and reporting

Strong SQL and Python; with expert proficiency in Power BI and working knowledge of Databricks/Fabric/Spark.

Proven track record turning analysis into commercial actions and executive-ready storytelling through reports

Master's degree in a quantitative field (e.g., statistics, economics, mathematics, business administration, marketing).

Experience in AI & automation: GenAI/LLM copilots, decision bots, and pipeline automation (Power Platform/Fabric) etc., will be an added advantage