Job
Description
Role & responsibilities Analytics & Data Science CX Consumer & Marketing (Own) Manage & Enrich Big Data – Own Consumer Datamart (SVOC – 2Cr Records, 150+ attributes) and all the user attributes, think of ways to enrich data & consumer profile Engage with Data Engineering team on building/maintaining/enhancing Data Lake/Warehouse in Databricks (Cloud) Data preparation, new attribute development, preparing Single View of consumers, Single View of Retailers/electricians Consumer Insights & Campaign Analysis - Drive adhoc analysis & regular insights from data to generate insights and drive campaign performance 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 related to loyalty, campaigns, repeat purchase, Havells One app Power BI dashboards & other visualization Adhoc dashboards Work on company analytic tools like MoEngage, Adobe Analytics, Google Analytics, Easyrewardz etc to share trends with team Analytics & Data Science – Other Domains SCM, Sales Op, Marketing (Secondary) 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 Work on GenAI use cases & projects Deep data mining to support digital analytics, website behavior, app behavior analytics, call center/CS behavior, NPS, retailer & electrician loyalty etc Preferred candidate profile 2-7 years of direct experience in advanced & predictive analytics in atleast one domain viz consumer, sales transformation or SCM in any industry. Hands-on experience & knowledge of modern analytical tools, techniques & software (python, R, SQL, SPSS, SAS)
