Director of Analytics

Location: Bangalore,HSRCTC Range: 45 to 55 LPA or depends on last drawn, whichever is lower as per market standardsAbout UsWe 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 & ResponsibilitiesAs 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 MetricsSuccess 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 (e.g.,- 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.- 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-makingReach out to for a quick turnaround