Business Intelligence Developer

Role Summary:

Seeking a highly motivated and experienced BI Developer to develop and maintain enterprise-grade Business Intelligence solutions that empower GMG's diverse retail portfolio spanning Sports, Healthcare, Everyday Goods, and Outdoor businesses.

This role is pivotal in transforming complex, multi-source retail data into intelligent, actionable insights that drive business performance and customer-centric decision-making.

This profile will work closely with cross-functional stakeholders across the group to translate business requirements into scalable, efficient BI solutions. The role extends beyond traditional reporting while leveraging AI-powered analytics to be used across all business verticals.

The ideal candidate will be hands-on with Power BI with expertise to use AI capabilities for developing dashboards and reports. Data will be sourced from a robust ecosystem including Microsoft SQL Server, Amazon Redshift, Databricks etc.

This role requires a deep understanding of retail KPIs, and AI-driven insight delivery to fuel strategic initiatives across GMG's multi-billion-dollar operations. You will play a key role in enabling data-driven culture and enhancing business impact through intelligent, next-generation dashboards and automation.

Responsibilities:

1. Dashboards, Reports, and Data Visualization:

· Develop interactive BI dashboards in Power BI leveraging AI to supercharge execution

· Customize visualizations to align with business KPIs, usability standards, and business analysis goals

· Apply UI/UX best practices in dashboard design, with a strong focus on mobile-responsive layouts for optimal user experience

2. Query and Analysis:

· Write and optimize complex SQL queries across multiple data source

· Create Natural Language Processing (NLP) features such as, NLG-based summaries, and chatbot-style interfaces that answer business questions

3. BI Platform Administration:

· Work on BI/AI technologies, tools, and frameworks

· Maintain system health, manage user access, and ensure performance tuning

4. Data Governance, Security and Compliance:

· Create role-based access control, data masking, and other data protection mechanisms in compliance with internal and external regulations

· Collaborate with data governance teams to uphold data privacy and integrity standards

5. Data Modelling and ETL:

· Collaborate with data engineering team in the implementation of data models and ETL processes to get scalable and optimized data set for BI platforms

· Validate data to ensure data quality, consistency, and performance

6. Stakeholder Collaboration and Requirements Gathering:

· Engage with business leaders to understand strategic needs and translate them into scalable BI solutions

· Execute BI projects, ensuring timely delivery and alignment with business goals

7. Documentation:

· Document data models and business rules in Business Requirement Documents (BRDs) and relevant organizational process assets

· Prepare end users training material and do knowledge-sharing sessions with team

People Management:

The incumbent holds no direct supervisory responsibilities but is expected to engage effectively within their function and collaboratively across cross-functional teams. This role contributes meaningfully, whether through operational contributions and/or by offering specialized expertise, guidance, and support, to ensure alignment with either functional and/or strategic organizational goals and objectives.

Functional / Technical Competencies:

· Awareness of Power BI end-to-end architecture

· Hands-on expertise in implementing BI dashboards through AI

· Skilled in designing user-friendly dashboards with AI-enhanced insights and natural language summaries

· Strong SQL skills for data retrieval and manipulation

· Hands on experience with ETL processes and tools

· Expertise in NLP/NLG integration, embedding ML Models and BI/AI concepts with best practices

· Problem-solving and critical-thinking abilities

· Any AI or BI certification would be preferred

Experience:

· 7 to 8 Years of overall work experience and 4 to 6 years relevant experience of Power BI implementation preferably in retail domain