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Lead Analyst – Business Intelligence (SQL+Semantic)

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Hybrid

Lead Analyst – Business Intelligence (SQL+Semantic)

Genl Mills India Priv LTD

Lead Analyst – Business Intelligence (SQL+Semantic)

Skills

Google Cloud PlatformSQL QueriesLookerTableauPythonData ScienceGoogle BigQueryData AnalysisAIWorkday

2 months ago

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Important information


Contract type:

Permanent

Work mode:

Hybrid

Published on:

17 August 2026

What they need


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

Lead BI ideation, consulting, and delivery while owning the design of governed, reusable semantic models using Looker, LookML, and BigQuery. Enable trusted metrics, consistent business definitions, dashboards, self-service analytics, and AI-enabled BI capabilities. As an individual contributor, partner with business and Digital & Technology teams to deliver standardized, user-friendly solutions.

KEY ACCOUNTABILITIES

  • Design and evolve scalable, governed semantic models using Looker, LookML, and BigQuery.
  • Build reusable domain and use-case models with clear standards for performance, quality, security, and downstream use.
  • Translate business needs into intuitive views, Explores, dimensions, measures, joins, and business logic.
  • Define and maintain certified metrics, business terms, metadata, glossaries, guardrails, and test suites.
  • Enable trusted conversational and agentic BI through governed semantic models and natural-language-ready definitions.
  • Develop and optimize SQL and BigQuery solutions using sound dimensional modeling and cost-efficient practices.
  • Lead governance, access controls, security, certification, monitoring, auditing, Git workflows, code reviews, and CI/CD.
  • Partner with stakeholders to shape BI strategy, clarify business problems, communicate trade-offs, and deliver impactful solutions.
  • Mentor team members and champion BI standards, automation, tool rationalization, and continuous improvement.

MINIMUM QUALIFICATIONS

  • Bachelor’s degree from an accredited university (full-time) in Business Analytics, Computer Science, Information Systems, Data Science, or a related field.
  • 9+ years of total experience, including 6+ years designing and delivering analytics solutions with business stakeholders.
  • Advanced experience with Google Looker, LookML, SQL, and BigQuery; proficiency in Tableau and Python.
  • Proven ability to build reusable semantic models, certified metrics, business definitions, self-service analytics, and AI-enabled BI solutions.
  • Strong knowledge of dimensional modeling, data warehousing, ETL, metadata management, data governance, access controls, and performance optimization.
  • Experience with Git-based development, code reviews, CI/CD, and change control for analytics assets.
  • Excellent communication and stakeholder-management skills, with the ability to translate business needs into technical solutions, influence without authority, advise leaders, and drive BI adoption

PREFERRED QUALIFICATIONS

  • Experience with semantic-layer strategy, shared data models, or BI architecture modernization.
  • Knowledge of AI for BI governance, including use-case intake, agent testing, monitoring, auditing, and production readiness.
  • Familiarity with Python or another programming language, plus data catalog and governance tools such as Alation or Google Cloud data services.
  • Thoughtful, proactive leader who delivers scalable business solutions and addresses problems directly.
  • Consultant mindset with the confidence to challenge constructively and influence peers and leaders.
  • Agile learner with curiosity, passion, and a focus on understanding the “why.”

ELIGIBILITY

Applicants must meet minimum age qualifications in the country in which the job is located.

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