Director of Data Analytics (B2C/D2C)

Role Responsibilities-

As the Director of Analytics, you will be:

• Lead the next generation of our Data Mart: Redesign and optimize data models to support 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: 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: Ensure consistent data definitions and scalability.
• Partner with business, product, marketing, CRM, operations, and finance teams: Ensure data is democratized and actionable. Establish data governance, quality standards, and best practices for the organization.
• Drive adoption of self-service analytics: Empower teams with the right dashboards, reporting, and insights.
• Introduce and scale AI/ML-driven insights:
• Collaborate with product and engineering to enable LLM-powered use cases, such as conversational analytics and decision copilots.
• Enable ML-driven use cases such as personalization, predictive modeling, and anomaly detection.
• Build and mentor a cross-functional analytics team: The team will span business/operations analytics, marketing/CRM analytics, and product/finance analytics.
• Partner with engineering leadership: Ensure scalability, reliability, and efficiency of the data infrastructure.

What We’re Looking For-

Experience

• 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, including SQL, ETL/ELT, cloud data warehouses like Snowflake/BigQuery/Redshift, and BI tools like Looker/PowerBI/Tableau .

AI Expertise

• Experience working with or enabling AI/ML and LLM-based use cases, including building data pipelines for AI applications, supporting use cases such as process automation and conversational analytics, and partnering with engineering to productionise AI-driven solutions.

ML Competency

• Familiarity with machine learning workflows, including data pipelines for ML, feature engineering, and model monitoring, with the 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 and 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

Success in this role will be measured by:

Data Infrastructure Scale

• Launch of next-gen data mart within defined timelines.
• Reduction in data processing and reporting times.
• Uptime and reliability of data pipelines and consumption layers.

Adoption Impact

• % of the organization actively using self-service analytics tools.
• Increase in cross-team usage of standardized data views across product, marketing, finance, and operations.
• Reduction in ad-hoc analytics requests due to robust self-service solutions.
• LLM-powered use cases successfully deployed to production.

Data Quality & Governance

• % improvement in data accuracy and consistency across sources.
• Establishment and adoption of data governance frameworks.

Team Leadership

• Successful hiring and scaling of a multi-disciplinary analytics team.
• Retention and growth of top talent within the analytics function.