Visionary Analytics Leader

1 day ago


Mysore, Karnataka, India beBeeAnalytics Full time ₹ 45,00,000 - ₹ 55,00,000

Lead Data Strategist Role

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  • We are seeking a seasoned data strategist to spearhead the development of our next-generation data mart, optimizing data models for large-scale analytics and faster decision-making.">
  • The ideal candidate will define tools and frameworks for data creation, transformation, and consumption across the organization.">
  • This role requires building unified data views by integrating behavioral and transactional data into structured, query-optimized flat tables.">
  • Oversight of analytics across mobile, web, marketing, product, and operations data streams, ensuring consistent data definitions and scalability.">
  • Collaboration with cross-functional teams including product, marketing, CRM, operations, and finance to ensure data is democratized and actionable.">
  • Introduce and scale ML-driven insights by collaborating with product and engineering teams.">
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Requirements:

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  • 8+ years in data & analytics leadership, with a proven track record of building data marts and defining enterprise-wide data consumption strategies.">
  • Strong technical expertise in data modeling, flat table structures, and query optimization for large-scale systems.">
  • Hands-on experience with both behavioral and transactional data, and integrating them into a single analytics layer.">
  • Familiarity with modern data stack (SQL, ETL/ELT, cloud data warehouses like Snowflake/BigQuery/Redshift, BI tools like Looker/PowerBI/Tableau).">
  • ML Competency: Familiarity with machine learning workflows and ability to guide data scientists in building predictive/ML models.">
  • Proven ability to build and scale analytics teams, with experience in functions such as business/operations, marketing/CRM, and product/finance analytics.">
  • Strong business acumen — ability to translate data into actionable insights for growth, retention, and efficiency.">
  • Excellent stakeholder management and communication skills, comfortable influencing at the CXO level.">
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KPIs / Success Metrics:

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  • Data Infrastructure & Scale">
  • Launch of next-gen data mart within defined timelines.">
  • Reduction in data processing and reporting times (e.g., < 5 mins refresh for key dashboards).">
  • Uptime and reliability of data pipelines and consumption layers.">
  • Adoption & Impact">
  • % of org actively using self-service analytics tools.">
  • Increase in cross-team usage of standardized data views (product, marketing, finance, operations).">
  • Reduction in ad-hoc analytics requests due to robust self-service solutions.">
  • Data Quality & Governance">
  • % improvement in data accuracy and consistency across sources.">
  • Establishment and adoption of data governance frameworks.">
  • Team & Leadership">
  • Successful hiring and scaling of a multi-disciplinary analytics team.">
  • Retention and growth of top talent within the analytics function.">
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