Chief Data Insights Officer

3 days ago

Thiruvananthapuram, Kerala, India beBeeDataAnalyticsDirector Full time ₹ 45,00,000 - ₹ 55,00,000
Data Analytics Director

Lead a high-performing data analytics team to drive business growth through actionable insights.

  • Develop and implement a comprehensive data strategy to support large-scale analytics and faster decision-making.
  • Design and optimize data models, tools, and frameworks for data creation, transformation, and consumption across the company.
  • Integrate behavioral and transactional data into structured, query-optimized flat tables that support diverse analytics use cases.
  • Own analytics across mobile, web, marketing, product, and operations data streams, ensuring consistent data definitions and scalability.
  • Partner with cross-functional teams to ensure data is democratized and actionable.
  • Establish 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.
  • Collaborate with engineering leadership to ensure scalability, reliability, and efficiency of the data infrastructure.
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.
  • 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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