Commercial Sales Manager - GBS Commercial

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?

AB InBev GCC was incorporated in 2014 as a strategic partner for Anheuser-Busch InBev. The center leverages the power of data and analytics to drive growth for critical business functions such as operations, finance, people, and technology. The teams are transforming Operations through Tech and Analytics.

Do You Dream Big?

We Need You.

Job Title: Commercial Sales Manager- GBS Commercial/Manager GBS Commercial

Location: Bangalore

Reporting to: Senior Manager Sales Intelligence

1. 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.

2. 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

3.QUALIFICATIONS, EXPERIENCE, SKILLS

Qualifications:

• Bachelor's degree in Business, Engineering, Data Science, Computer Science, Statistics, or related field o Master's degree (MBA, Analytics, or Data Science) preferred
• 5-8 years of experience in Sales Analytics, Business Intelligence, Data Science, or Data Engineering roles
• Experience working in cross-functional, matrixed organizations with senior stakeholders ·

Language skills required Fluent in English (speaking, reading, and writing)

Technical Skills:

• Advanced proficiency in Power BI (dashboard design, DAX, data modeling)
• Strong expertise in SQL (complex queries, performance optimization)
• Hands-on experience with ETL processes and data transformation (e.g., Power o Query, SQL-based pipelines, or tools like Alteryx/Data Factory - preferred)
• Working knowledge of Python/R for data analysis and basic modeling
• Understanding of data warehousing concepts and data modeling (star/snowflake schemas) · Analytics, Data Science & Engineering Thinking
• Strong problem-solving skills across analytics, data science, and data engineering domains
• Ability to design end-to-end data solutions (from raw data to insights)
• Familiarity with statistical methods (regression, clustering, forecasting)
• Strong understanding of sales KPIs and commercial performance drivers
• Communication & Storytelling o Exceptional data storytelling and visualization skills
• Strong presentation skills with the ability to influence senior stakeholders
• Ability to simplify complex insights into clear, actionable messages

And above all of this, an undying love for beer!

We dream big to create future with more cheers