Director of Data Strategy

18 hours ago

bangalore, India beBeeAnalytics Full time

About UsWe are a high-growth startup building products at scale that impact millions of users daily. Our goal is to create a data-driven culture where every decision is informed by fact-based insights.Job DescriptionLead 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 organization.Build unified data views: Integrate behavioral and transactional data into structured, query-optimized flat tables that support diverse analytics use cases.Owning 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 organization.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.Required Skills and QualificationsExperience: 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.Familiarity with 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.BenefitsSuccess in this role will be measured by:Data Infrastructure & ScaleLaunch of next-gen data mart within defined timelines.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).Team & LeadershipSuccessful hiring and scaling of a multi-disciplinary analytics team.Why Join Us?You will have the opportunity to own the analytics vision of a company that is scaling rapidly, build the next-gen data mart and analytics layer from scratch, and work on high-volume, high-velocity data across mobile, web, marketing, product, and operations.

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