IT_Consumer Experience_2 (100)

Havells considers Analytics & AI/ML to play a critical role in driving growth, in shaping consumer experience, sales optimization and cost savings. This role will require handling Big Data, support routine data analytics/data mining requests and drive predictive, AI/ML or advanced analytics projects for various Use Cases in Consumer or Sales Ops/Retail/SCM domain. The candidate should be passionate about analytics, Gen AI & be a self starter to build the business case & prove the value of analytics use cases within the organization.

Key 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

1. Work on GenAI, Agentic AI use cases & projects

• Deep data mining to support digital analytics, website behavior, app behavior analytics, call center/CS behavior, NPS, retailer & electrician loyalty etc

 

BE/BTech, MTech or MSC Stats or MBA (Analytics) or Diploma in Analytics/Decision Science.

2-8 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)

 

• Python, PySpark, SQL, Hadoop, Hive
• Regression, Classification, Decision Trees, Random Forests, XGBoost Clustering, SVM, Time Series, NLP, Neural Networks, Large Language Models,
• Familiarity with MLOps, MS Databricks, and GCP cloud technologies

Strong analytical bent of mind with a high level of expertise on big data & cloud, problem solver, self-starter & hands-on. Ability to understand business requirements and translate that into data requirement. Ownership and perseverance to ensure deadlines are met and data outputs of finest quality. Flair for consumer, digital & technology.

Familiarity with Gen AI, Agentic AI tools, frameworks, projects would be an advantage

Age:24 to 32