Chief Data Architect

1 week ago

Thoothukudi, Tamil Nadu, India beBeeAnalytics Full time ₹ 45,00,000 - ₹ 55,00,000
Lead Analytics Strategy

We're seeking a visionary leader to spearhead our analytics initiative. As a high-growth startup, data-driven decision making is crucial for powering product, marketing, operations, and finance.

Key Responsibilities:
  • Redesign and optimize data models to support large-scale analytics and faster decision-making.
  • Define tools and frameworks for data creation, transformation, and consumption across the company.
  • Build unified data views: 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 product, marketing, CRM, operations, and finance 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.
  • Introduce and scale machine learning-driven insights: Collaborate with product and engineering to enable use cases like personalization, predictive modeling, and anomaly detection.
  • Build and mentor a cross-functional analytics team spanning business/operations analytics, marketing/CRM analytics, and product/finance analytics.
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).
  • 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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