Director of Analytics - Budget is up to 65 LPA

About Us

We are a high-growth startup building products at scale that impact millions of users daily. 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.

Role & Responsibilities

As the Director of Analytics, you will:

- 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 & 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 org.

- Drive adoption of self-service analytics and empower teams with the right dashboards, reporting, and insights.

-Introduce and scale ML-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.

- Partner with engineering leadership to 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 (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

Success in this role will be measured by:

1. Data Infrastructure & Scale

- Launch of next-gen data mart within defined timelines.

- Reduction in data processing and reporting times (e.g., <5 mins refresh for key dashboards).

- Uptime and reliability of data pipelines and consumption layers.

2. Adoption & Impact

- % of org actively using self-service analytics tools.

- Increase in cross-team usage of standardized data views (product, marketing, finance, operations).

- Reduction in ad-hoc analytics requests due to robust self-service solutions.

3. Data Quality & Governance

- % improvement in data accuracy and consistency across sources.

- Establishment and adoption of data governance frameworks.

4. Team & Leadership

- Successful hiring and scaling of a multi-disciplinary analytics team.

- Retention and growth of top talent within the analytics function.

Why Join Us?

- Opportunity to own the analytics vision of a company that is scaling rapidly.

- Build the next-gen data mart and analytics layer from scratch - a rare chance to define the foundation for years to come.

- Work on high-volume, high-velocity data across mobile, web, marketing, product, and operations.

- High visibility role, directly collaborating with founders and leadership.

- Build a world-class analytics team and shape the culture of data-driven decision-making.