Location: Bangalore,HSR
CTC Range: 45 to 60 LPA or depends on last drawn, whichever is lower as per market standards
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 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 (e.g., <5 mins refresh for key dashboards).
- 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
Reach out to talent@appsforbharat for a quick turnaround!
