Commercial Sales Manager

AB InBev APAC

Remote

Dreaming big is in our DNA. It’s who we are as a company. It’s our culture. It’s our heritage. And more than ever, it’s our future. A future where we’re always looking forward. Always serving up new ways to meet life’s moments. A future where we keep dreaming bigger. We look for people with passion, talent, and curiosity, and provide them with the teammates, resources and opportunities to unleash their full potential. The power we create together – when we combine your strengths with ours – is unstoppable. Are you ready to join a team that dreams as big as you do?

PURPOSE OF ROLE

The Manager – Sales Strategy, Analytics & Data will act as a strategic partner to senior sales stakeholders, driving data-led decision-making and operational efficiency. This role combines analytics, applied data science, and light data engineering to enable end-to-end ownership—from data sourcing and transformation to insight generation and business storytelling.

The individual will bridge the gap between data, technology, and strategy—leveraging Power BI, SQL, ETL ,Python & ML processes to build scalable data solutions, uncover opportunities, and drive impactful business outcomes.

Support on tracking and monitoring of Sales Executive KPIs
Analyse data that affect the productivity of Sales and provide deep dives to close gaps
Understanding and reporting of KPIs such as Distribution, Sales Visits, Volume, Market Share, Shelf Share data, and marketing parameters.
To know a Business Development Representative's basic roles and responsibilities and the steps in selling a product to end-consumers/customers based on a B2B/B2B2B/B2C perspective.
Understand the end-to-end sales journey and stages involved in the delivery of ABI products from the manufacturing unit to wholesalers/distributors and retailers.
Knowledge of sales organization/sales structure and their roles and responsibilities.
High-level Knowledge of sales budgeting, trade investments, and revenue management (good to know)
Recommend measures that can help in improving the sales process by looking at structured and unstructured data.
Ability to think analytically by connecting dots across various functions of the Commercial team impacting the Sales Intelligence team (Category Management, Trade Marketing, and Demand Planning)
Create actionable and value-driven insights and recommendations based on the data reported to the sales team to make strategies.
Advanced Excel/Power BI/SQL/Python/ML expertise to create self-service dashboards to provide meaningful and actionable inputs to the Business.

Key Tasks And Accountabilities

Strategic Business Partnering

Collaborate with senior sales leaders to identify business challenges and translate them into analytical, data science, and data engineering problem statements
Support strategic planning with predictive and prescriptive insights

Advanced Analytics & Data Science

Analyze large datasets to identify trends, opportunities, and risks across sales performance
Apply data science techniques (regression, forecasting, clustering, segmentation) to solve business problems
Develop predictive models for demand forecasting, performance optimization, and opportunity identification

Data Engineering & ETL Development

Design and build efficient ETL pipelines to ingest, clean, and transform data from multiple sources
Develop and optimize data models to support scalable reporting and analytics
Ensure data quality, consistency, and reliability across reporting layers
Collaborate with data engineering teams where required to enhance data infrastructure

Dashboarding & Visualization

Design and develop intuitive Power BI dashboards for leadership consumption
Integrate advanced analytics outputs into dashboards for real-time, decision-ready insights

Data Storytelling & Communication

Translate complex datasets and model outputs into clear, compelling business narratives
Present insights, forecasts, and recommendations to senior stakeholders with strong executive presence

Automation & Process Optimization

Identify opportunities to automate recurring reports, pipelines, and workflows using SQL and BI tools
Improve efficiency, scalability, and accuracy of reporting processes

Experimentation & Continuous Improvement

Support A/B testing and hypothesis-driven analysis to evaluate business initiatives
Drive a culture of data-driven experimentation and continuous improvement

Stakeholder Management

Engage and influence cross-functional stakeholders across sales, operations, and leadership teams
Act as a trusted advisor for data-driven and insight-led decision-making