Chief Data Strategist

2 weeks ago

Vizag, Andhra Pradesh, India beBeeAnalytics Full time ₹ 45,00,000 - ₹ 55,00,000
Director of Analytics Role

As we prepare for the next phase of growth, data will be at the heart of every decision - powering product, marketing, operations, and finance. We are looking for a Director of Analytics to lead the charge in shaping our data strategy, building scalable infrastructure, and creating a high-performing analytics organization.

Key Responsibilities:
  • Lead the development of our next-generation Data Mart, optimizing data models for large-scale analytics and faster decision-making.
  • Define the 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.
  • Orient analytics efforts across mobile, web, marketing, product, and operations data streams, ensuring consistent data definitions and scalability.
  • Collaborate with product, marketing, CRM, operations, and finance teams to ensure data is democratized and actionable.
  • Establish robust data governance, quality standards, and best practices for the organization.
  • Drive adoption of self-service analytics and empower teams with the right dashboards, reporting, and insights.
  • Institute machine learning-driven insights by partnering with product and engineering teams to enable use cases like personalization, predictive modeling, and anomaly detection.
  • Construct and mentor a cross-functional analytics team spanning business/operations analytics, marketing/CRM analytics, and product/finance analytics.
Requirements:
  • A seasoned professional with 8+ years of experience in data & analytics leadership, boasting a proven track record of developing data marts and defining enterprise-wide data consumption strategies.
  • Strong expertise in running analytics across mobile, web, marketing, product, and operations data ecosystems.
  • Deep understanding of modern data architecture, including SQL, ETL/ELT, cloud data warehouses (Snowflake, BigQuery, Redshift), and BI tools (Looker, PowerBI, Tableau).
  • 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.

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