Data Strategy Leader

Role Overview

The Director of Analytics will lead the charge in shaping our data strategy, building scalable infrastructure, and creating a high-performing analytics organization.

This role will be responsible for redesigning and optimizing data models to support large-scale analytics and faster decision-making. You will define the tools and frameworks for data creation, transformation, and consumption across the company, integrating behavioral and transactional data into structured, query-optimized flat tables that support diverse analytics use cases.

Key Responsibilities

• 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.

• 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.

Why Join Us?

As the Director of Analytics, you will have the opportunity to own the analytics vision of a company that is scaling rapidly. You will build the next-gen data mart and analytics layer from scratch, defining the foundation for years to come. You will work on high-volume, high-velocity data across mobile, web, marketing, product, and operations.

You will have a high visibility role, directly collaborating with founders and leadership. You will build a world-class analytics team and shape the culture of data-driven decision-making.

What We're Looking For:

• % 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.
• % improvement in data accuracy and consistency across sources.
• Establishment and adoption of data governance frameworks.
• Successful hiring and scaling of a multi-disciplinary analytics team.
• Retention and growth of top talent within the analytics function.