Data Strategy Leader

2 weeks ago

Morādābād, Uttar Pradesh, India beBeeData Full time ₹ 11,00,000 - ₹ 1,10,00,000
Director of Analytics Position

We are seeking a seasoned professional to lead our data strategy, build scalable infrastructure, and create a high-performing analytics organization.

  • This role will focus on shaping the future of data at our company, driving business growth through data-driven insights, and empowering cross-functional teams with actionable information.

About Us:

We are a rapidly scaling startup focused on building impactful products that reach millions of users daily. As we enter a new phase of growth, data will play a vital role in every decision-making process - powering product, marketing, operations, and finance initiatives.

Job Responsibilities:

  1. Lead the development of next-generation data mart, redesigning and optimizing data models for large-scale analytics and faster decision-making.
  2. Define tools and frameworks for data creation, transformation, and consumption across the organization.
  3. Build unified data views by integrating behavioral and transactional data into structured, query-optimized flat tables that support diverse analytics use cases.
  4. Owning analytics across mobile, web, marketing, product, and operations data streams, ensuring consistent data definitions and scalability.
  5. Partner with product, marketing, CRM, operations, and finance teams to ensure data is democratized and actionable.
  6. Establish data governance, quality standards, and best practices for the organization.
  7. Drive adoption of self-service analytics and empower teams with the right dashboards, reporting, and insights.
  8. Introduce and scale ML-driven insights: Collaborate with product and engineering to enable use cases like personalization, predictive modeling, and anomaly detection.
  9. Build and mentor a cross-functional analytics team spanning business/operations analytics, marketing/CRM analytics, and product/finance analytics.
  10. Partner with engineering leadership to ensure scalability, reliability, and efficiency of the data infrastructure.

Requirements:

  • 8+ years of experience 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.
  • 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.

KPIs / 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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