Sr. D&T Analyst - Business Intelligence

General Mills; Mumbai; On-site; INR 600,000 - 1,200,000; Full time

Job summary

General Mills is seeking an experienced BI/AI-focused professional to design, build, and scale analytics solutions across business functions. You will develop dashboards, NLQ capabilities, and AI-driven insights using Tableau, Looker, and BigQuery, while establishing governance, semantic models, and scalable data architectures to support trusted decision making.

You will collaborate with product, governance, and BI leadership to ensure high-quality, adoption-driven analytics, with emphasis on

Qualifications

• Bachelor's degree from an accredited university in a related field.
• 8+ years total experience with 6+ years delivering BI/analytics solutions for business stakeholders.
• Expert-level skills in Tableau, SQL, Google Looker, Python, and BigQuery.
• Experience building governed analytics products, semantic models, and scalable reporting solutions.

Responsibilities

• Design, develop, test, automate, and launch BI, NLQ, and AI-driven analytics using Tableau, Looker, and BigQuery.
• Build scalable semantic models, governance, and LookML-based layers for trusted self-service analytics and production-ready outputs.

Skills

Tableau

SQL

Looker

Python

BigQuery

Education

Bachelor's degree in Business Analytics, Computer Science, Information Systems, Data Science or related field

Tools

Tableau

SQL

Looker

Python

BigQuery

Job description

COMPANY OVERVIEW

We exist to make food the world loves. But we do more than that. Our company is a place that prioritizes being a force for good, a place to expand learning, explore new perspectives and reimagine new possibilities, every day. We look for people who want to bring their best - bold thinkers with big hearts who challenge one another and grow together. Because becoming the undisputed leader in food means surrounding ourselves with people who are hungry for what's next.

OVERVIEW

This role advances modern Business Intelligence and AI for BI capabilities across General Mills business functions. It partners with business, product, and technical teams to design, build, and scale trusted, governed, and user-friendly analytics solutions. The role focuses on enabling reporting, visualization, conversational analytics, and AI-driven insights with strong adoption, quality, and governance.

KEY ACCOUNTABILITIES

• Business Intelligence and AI for BI capabilities: Design, develop, test, automate, and launch BI, conversational analytics, and AI-driven summarization solutions using Tableau, Looker, BigQuery, and related tools. Build technical architectures, semantic models, prototypes, and governed data experiences for trusted natural-language querying, dashboard summarization, and scalable decision support. Lead design, code, model, and process reviews to ensure compliance with enterprise standards, AI governance, approved extensions, and performance best practices. Drive end-to-end delivery across discovery, requirements gathering, estimation, solution design, development, UAT, deployment, and post-go-live monitoring. Define business terms, metadata, reference questions, and testing assets to improve the accuracy, trust, and repeatability of AI-enabled BI outputs. Partner with technical teams to optimize data models, granularity, labels, and performance, with a focus on scalable star-schema-based designs. Establish validation processes including training sets, golden queries, user testing, and accuracy thresholds to support production-ready AI for BI capabilities. Translate business needs into governed BI, NLQ, and AI summarization use cases with clear success measures and business value. Collaborate with business stakeholders, product teams, BI leadership, and governance groups to shape requirements, prioritize initiatives, and recommend best practices. Lead workshops, pilot testing, feedback loops, issue triage, and continuous improvement efforts to strengthen usability, trust, adoption, and solution quality.
• Business Intelligence (Semantic Layer): Design, develop, and maintain scalable Looker semantic layers using advanced LookML for trusted self-service analytics. Build and optimize complex SQL queries in BigQuery to support data models, semantic layers, and business analysis. Translate business requirements into intuitive data models and LookML structures using star and snowflake schema principles. Identify and resolve performance bottlenecks across LookML models, Explores, and BigQuery queries to improve user experience. Implement data governance, semantic consistency, access controls, and security within the Looker semantic layer. Drive Git-based development, code reviews, change management, and CI/CD practices for reliable BI deployments. Lead technical design discussions and code reviews to ensure architecture, data quality, and performance standards. Partner with product teams and business stakeholders to shape requirements and deliver analytical solutions. Communicate technical concepts, design trade-offs, and solution impacts clearly to technical and non-technical audiences. Contribute to strategic decisions, best practices, and data-driven insights that strengthen the analytics ecosystem.

MINIMUM QUALIFICATIONS

• Education: Bachelor's degree from an accredited university (full time) in Business Analytics, Computer Science, Information Systems, Data Science, or a related field.
• Experience: 8+ years of total experience with 6+ years of relevant experience designing and delivering BI and analytics solutions for business stakeholders.
• Expert-level skills in Tableau, SQL, Google Looker, Python, and BigQuery.
• Demonstrated experience building governed analytics products, semantic models, and scalable reporting solutions that support self-service analytics and decision-making.
• Strong communication skills with the ability to translate business requests into technical requirements and explain trade-offs across tools, data models, governance, and architecture options.
• Strong knowledge of dimensional modelling, metadata management, data governance, data warehousing, and enterprise data platforms.
• Proven ability to influence without authority and to partner effectively with business leaders, technical teams, and governance stakeholders to deliver high-value solutions.

PREFERRED QUALIFICATIONS

• Thought-driven leadership to successfully deliver scalable team management and business solutions.
• Knowledge of at leas