Data Strategy Innovator

1 day ago

Ghaziabad, Uttar Pradesh, India beBeeDirector Full time ₹ 45,00,000 - ₹ 55,00,000
Analytics Visionary

We are seeking a visionary Analytics Director to spearhead the development of our data strategy, driving scalable infrastructure and high-performing analytics organization. This role offers an unparalleled opportunity to own the analytics vision of a rapidly scaling company.

Key Responsibilities:
  • Lead the next-generation data mart, redesigning and optimizing data models for large-scale analytics and faster decision-making.
  • Define tools and frameworks for data creation, transformation, and consumption across the company.
  • Build unified data views by integrating behavioral and transactional data into structured, query-optimized flat tables supporting diverse analytics use cases.
  • Ensure consistent data definitions and scalability across mobile, web, marketing, product, and operations data streams.
  • Partner with product, marketing, CRM, operations, and finance teams to democratize data and enable actionable insights.
  • Establish data governance, quality standards, and best practices for the organization.
Requirements:
  • 8+ years in data & analytics leadership, with proven success in building data marts and defining enterprise-wide data consumption strategies.
  • Strong track record of running analytics across mobile, web, marketing, product, and operations data ecosystems.
  • Deep 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.
  • Strong knowledge of 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 (data pipelines for ML, feature engineering, model monitoring) 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.
Success Metrics:
  • Data Infrastructure & Scale
  • Launch of next-gen data mart within defined timelines.
  • Reduction in data processing and reporting times (e.g.,

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