Senior bi developer

Seeking a highly motivated and experienced Senior BI Developer to design, 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 industry-leading BI tools such as Power BI, Tableau, and Looker, 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, Customer Data Platforms (CDPs), Google Analytics 4 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. Dashboards, Reports, and Data Visualization: Design and implement interactive BI dashboards in tools such as Power BI, Tableau, or Looker leveraging AI to supercharge execution Collaborate with data scientists to embed machine learning models into dashboards (e.g. demand forecasting, price elasticity, inventory optimization etc.)Customize visualizations to align with business KPIs, usability standards, and business analysis goals Drive implementation of UI/UX best practices in dashboard design, with a strong focus on mobile-responsive layouts for optimal user experience Query and Analysis: Write, review, and optimize complex SQL queries across multiple data sources Implement Natural Language Processing (NLP) features such as, NLG-based summaries , and chatbot-style interfaces that answer business questions BI Platform Administration: Lead innovation by introducing new BI/AI technologies, tools, and frameworks Oversee administration, configuration, and upgrades of BI tools Monitor system health, manage user access, and ensure performance tuning Establish governance policies for BI environments and metadata management Advanced Data Modeling and ETL: Review the design and implementation of data models and ETL processes in collaboration with data engineering team to get scalable and optimized data set for BI platforms to be used for enterprise level data analysis Ensure data quality, consistency, and optimized data architecture and performance Engage with business leaders to understand strategic needs and translate them into scalable BI solutions Prioritize BI projects, ensuring timely delivery and alignment with business goals Train business users and advocate for data-driven decision-making Document data models and business rules in Business Requirement Documents (BRDs) and relevant organizational process assets Conduct end users training and knowledge-sharing sessions with team Data Governance, Security and Compliance: Implement 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 Master's or bachelor's degree in STEM, or a related field Experience: ~8 to 10 Years of overall work experience and 7 to 9 years relevant experience of Power BI/Tableau/Looker implementation preferably in retail domain Hands-on expertise in implementing BI dashboards through AI Skilled in designing user-friendly dashboards with AI-enhanced insights and natural language summaries Advanced expertise in Power BI, Tableau, or Looker Hands-on experience with AWS, Google Cloud or Azure for BI/AI workloads Expertise in NLP/NLG integration, embedding ML Models and BI/AI concepts with best practices Strong SQL skills for data retrieval and manipulation Hands on experience with ETL processes and tools Any AI or BI certification would be preferred Strong attention to detail, proactive and flexible approach with ability to multi-task