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Junior BI Developer

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Onsite

Junior BI Developer

AB InBev GCC India

Junior BI Developer

Skills

SQL QueriesData EngineeringData VisualizationDatabricksData AnalysisGitHubNo-code ApplicationsPySparkPower BIAzure

6 days ago

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Important information


Contract type:

Permanent

Location:

Bengaluru, Karnataka, India

Work mode:

Onsite

Published on:

15 October 2026

What they need


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: Junior BI Developer

Location: Bangalore

1. PURPOSE OF ROLE

· Design, develop and maintain interactive Power BI dashboards and reports that transform data into actionable business insights.

· Work with business stakeholders to understand requirements and translate them into effective technical solutions.

· Develop and optimize data models, DAX measures and queries for performance, accuracy and scalability.

· Integrate Power BI with data sources including Azure Databricks, SQL and cloud platforms.

· Collaborate with data engineers to ingest and transform data using Databricks (PySpark / SQL).

· Ensure data accuracy, consistency, governance, security and performance across BI solutions.

2. KEY TASKS & ACCOUNTABILITIES

  • Power BI Development

  • Design, develop and maintain interactive Power BI dashboards, reports and visualizations.

  • Develop and optimize data models, DAX measures and Power Query (M) transformations.

  • Apply data visualization best practices to present clear and actionable insights.

  • Troubleshoot and resolve reporting, data and refresh issues.

  • Data Integration & Engineering Collaboration

  • Integrate Power BI with Azure Databricks, SQL databases and other cloud data platforms.

  • Collaborate with data engineers to ingest and transform data using Databricks (PySpark / SQL).

  • Apply understanding of ETL / ELT processes and data warehousing concepts to support reliable reporting.

  • Work with relational databases such as SQL Server and Azure SQL.

  • Data Quality, Governance & Performance

  • Ensure data accuracy, consistency and governance across reports and dashboards.

  • Work with large datasets and optimize data models, queries and report performance.

  • Follow best practices for BI development, data security and performance tuning.

  • Support and maintain Power BI solutions across Power BI Desktop and Power BI Service.

  • Automation & Low-Code Solutions

  • Automate data refreshes and workflows using Power Automate, where applicable.

  • Build low-code business applications using Power Apps, where applicable.

  • Stakeholder Collaboration

  • Partner with business stakeholders to clarify requirements and validate delivered solutions.

  • Communicate technical findings and reporting outcomes clearly to technical and non-technical stakeholders.

Main characteristics:

· Results-oriented and focused on delivering high-quality BI solutions.

· Positive attitude with attention to detail.

· Strong analytical and strategic thinking skills.

· Strong problem-solving capability and a willingness to challenge the status quo.

· Effective collaborator who builds strong working relationships across global teams.

· Takes responsibility, exercises sound judgment and makes effective decisions.

· Planned and organized, with the ability to manage priorities.

· Strong visual, oral and technical communication skills.

· Entrepreneurial mindset and willingness to challenge existing approaches are desirable.

· Portfolio projects or GitHub repositories demonstrating BI / analytics expertise are desirable.

3. QUALIFICATIONS, EXPERIENCE, SKILLS

  • Experience: 3–4 years of experience in Power BI development using Power BI Desktop and Power BI Service.

  • Power BI: Proficiency in DAX, Power Query (M language) and data modeling concepts.

  • Azure Databricks: Hands-on experience with Azure Databricks using PySpark or SQL.

  • Data Engineering: Strong understanding of ETL / ELT processes and data warehousing concepts.

  • Databases: Experience with relational databases such as SQL Server and Azure SQL.

  • Performance: Ability to work with large datasets and optimize report, query and model performance.

  • Data Visualization: Good understanding of data visualization principles and dashboard design best practices.

  • Automation / Low-Code: Exposure to Power Automate and Power Apps is an advantage.

  • Communication: Strong analytical, problem-solving and communication skills.

  • Portfolio: Links to relevant portfolio projects or GitHub repositories may be included.

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

We dream big to create future with more cheers

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