Director - Analytics

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 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 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 business, 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 AI/ML-driven insights: Collaborate with product and engineering to enable LLM-powered use cases (e.g., conversational analytics, decision copilots), as well as ML-driven use cases such as personalization, predictive modeling, and anomaly detection.

- Additionally, 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).

- 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 (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:

- 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 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. 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.

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.

Skills

Analytics, Data Analytics, Data Management, Business Intelligence, Artificial Intelligence, Data Modeling, Data Warehousing, Machine Learning, Analytics Head