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 Description
Job Title: Power BI Developer - Global Consumer Sentiment Index
Location: Bangalore
Reporting to: Product Manager - Global Consumer Sentiment Index
Purpose of the role
We are looking for a skilled and detail-oriented Power BI Expert to lead the design and deployment of visually intuitive, performance-optimized dashboards that bring complex data science models and consumer sentiment insights to life.
The role will focus on translating large volumes of multilingual, unstructured data into actionable, user-friendly dashboards across multiple global markets.
This position will collaborate closely with data scientists, product manager, social listening experts, data engineering team and business stakeholders to ensure insight consumption is seamless, impactful, and aligned with decision-making needs.
Key tasks & accountabilities
Design and develop visually intuitive and scalable dashboards in Power BI for executive and operational users.
Translate outputs from complex NLP models into understandable visual insights and KPIs.
Build efficient data models in Power BI, managing relationships, measures (DAX), and data hierarchies.
Handle large datasets from multiple markets with differing formats and languages; ensure performance optimization of reports.
Collaborate with the Data Science and Data Engineering team to understand model structure, logic, and outputs to enable accurate visualization.
Work with business stakeholders to continuously improve the dashboards usability and relevance.
Maintain robust version control, documentation, and governance processes across dashboard iterations.
Ensure alignment with AB InBev’s data architecture standards and compliance frameworks.
Integrate multiple data sources, including Azure SQL, APIs, and flat files, into Power BI.
Adapt to tight deadlines, evolving requirements, and multi-country inputs in a global, high-pressure environment. Handle stakeholder feedback constructively and update visualizations quickly to reflect changing priorities.
3. Qualifications, Experience, Skills
Level of educational attainment required
Bachelor’s degree in Computer Science, Information Systems, Data Analytics, or a related field
Power BI certification
Previous work experience required
5+ years of experience in Power BI dashboarding and data visualization.
Strong knowledge of DAX, Power Query (M), and data modeling principles.
Proven track record of delivering business-facing dashboards with high usability.
Experience working with multilingual datasets and data from social listening, reviews, or consumer insights (preferred).
Ability to work in agile environments using Azure DevOps or similar tools.
Technical skills required :
Power BI (Expert), DAX, Power Query (M), SQL, Excel
Familiarity with Azure SQL, APIs, and cloud data connectors
Understanding of Python/R basics for better integration with data science pipelines (desirable)
Essential:
Power BI (Expert Level)
DAX and Power Query
Data modeling and performance optimization
Stakeholder communication
Agile delivery mindset
Desirable:
Understanding of NLP outputs and sentiment classification
Experience with multilingual data visualization
Background in consumer insights or marketing analytics
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