Associate Director of Analytics (B2C/D2C)

Location: Bangalore,HSR

CTC Range : 45 to 60 LPA or depends on last drawn, whichever is lower as per market standard

s
About

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 organizatio

n.
Role & Responsibilit

iesAs the Director of Analytics, you wi

• ll:Lead the next generation of our Data Mart: Redesign and optimize data models to support large-scale analytics and faster decision-maki
• ng.Define the tools & frameworks for data creation, transformation, and consumption across the compa
• ny.Build unified data views: Integrate behavioral and transactional data into structured, query-optimized flat tables that support diverse analytics use cas
• es.Own analytics across mobile, web, marketing, product, and operations data streams, ensuring consistent data definitions and scalabili
• ty.Partner with business, product, marketing, CRM, operations and finance teams to ensure data is democratized and actionab
• le.Establish data governance, quality standards, and best practices for the o
• rg.Drive adoption of self-service analytics and empower teams with the right dashboards, reporting, and insigh
• ts.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 analyti
• cs.Partner with engineering leadership to ensure scalability, reliability, and efficiency of the data infrastructu

re.
What We’re Lookin

• g ForExperience: 8+ years in data & analytics leadership, with proven success in building data marts and defining enterprise-wide data consumption strate
• gies.Strong track record of running analytics across mobile, web, marketing, product, and operations data ecosys
• tems.Deep technical expertise in data modeling, flat table structures, and query optimization for large-scale sys
• tems.Hands-on experience with both behavioral and transactional data, and integrating them into a single analytics l
• ayer.Strong knowledge of modern data stack (SQL, ETL/ELT, cloud data warehouses like Snowflake/BigQuery/Redshift, BI tools like Looker/PowerBI/Tabl
• eau).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 solut
• ions.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 mo
• dels.Proven ability to build and scale analytics teams, with experience in functions such as business/operations, marketing/CRM, and product/finance analy
• tics.Strong business acumen — ability to translate data into actionable insights for growth, retention, and effici
• ency.Excellent stakeholder management and communication skills, comfortable influencing at the CXO l

evel.
KPIs / Success

MetricsSuccess in this role will be measu

• red by:Data Infrastructure &
• ; ScaleLaunch of next-gen data mart within defined tim
• elines.Reduction in data processing and reporting times (e.g., <5 mins refresh for key dashb
• oards).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, opera
• tions).Reduction in ad-hoc analytics requests due to robust self-service sol
• utions.LLM-powered use cases successfully deployed to pro
• ductionData Quality & Gov
• ernance% improvement in data accuracy and consistency across s
• ources.Establishment and adoption of data governance fram
• eworks.Team & Lea
• dershipSuccessful hiring and scaling of a multi-disciplinary analytic
• s team.Retention and growth of top talent within the analytics fu

nction.
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 op
• visibility role, directly collaborating with founders and le
• adership.Build a world-class analytics team and shape the culture of data-driven decisi

on-making
Reach out to psforbharat for a quick