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 Were 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.