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Head Analytics & AI

Head Analytics & AI

Havells India LtdNoida, Uttar Pradesh, India
4 days ago
Job description

Key responsibilities :

Analytics & Data Science

  • Strategy Formulation & Execution : Participate in the conceptualization of AI & Data Science strategy, develop, execute and sustain; strive to build a practice and organization culture around same
  • Manage & Enrich Big Data – Work on Datawarehouse for sales, consumer data, manufacturing data and all the user attributes, think of ways to enrich data (both structured / unstructured)
  • Engage with Data Engineering team on building / maintaining / enhancing Data Lake / Warehouse in MS Azure Databricks (Cloud)
  • Data preparation, new attribute development, preparing Single View of consumers, Single View of Retailers / electricians etc
  • Consumer Insights & Campaign Analysis - Drive adhoc analysis & regular insights from data to generate insights and drive campaign performance
  • Build a Gen AI powered Consumer Insights Factory
  • Support insights from consumer, loyalty, app, sales, transactional data
  • Data mining / AI / ML to support upsell / cross-sell / retention / loyalty / engagement campaigns & target audience identification
  • Purchase behavior / market basket analysis
  • Predictive Analytics & Advanced Data Science - Build & maintain Predictive analytics AI / ML models for use cases in Consumer Domain, Consumer Experience (CX), Service, example :
  • Product recommendations
  • Likely to buy product or services (AMC)
  • Lead scoring conversion
  • Service Risk Scoring or Service Franchise / Technician performance score
  • Likely to be a detractor or Likely to churn
  • Market mix modelling
  • Dashboarding : Build, manage, support various MIS / dashboards via Data Engineering / Visualization team
  • Power BI dashboards & other visualization
  • Adhoc dashboards

Analytics & Data Science – Other Domains SCM, Sales Op, Manufacturing, Marketing

Support AI / ML models for Sales Transformation or SCM or Marketing Use Cases :

  • Market Mix Modeling
  • Retailer / Electrician loyalty program optimization
  • Retailer / partner risk scoring or churn prediction
  • Product placement & channel partner classification
  • Improve forecast accuracy & Out of Stock prediction
  • Deep data mining to support digital analytics, website behavior, app behavior analytics, call center / CS behavior, NPS, retailer & electrician loyalty etc

    • Gen AI Use Cases : Extensively leverage LLM Models, Agentic AI capabilities to solve business use cases : Chatbot for business users, data mining at fingertips, Chatbot for consumers, Service Voice Agent, Manufacturing use cases etc

    Data Engineering : Build & support all data engineering work to build / sustain a best-in class efficient, data infrastructure, data lake, datamart on cloud

  • Sustain, optimize current migration of EDW to MS Azure Databricks
  • Build Agentic AI platform on vertex
  • Optimize data architecture for efficient outputs on all analytics areas – data visualization, predictive ML Models, Agentic AI etc
  • Integrate new data sources & data types including unstructured data into Databricks data lake
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    Ai • Noida, Uttar Pradesh, India