senior data analyst in bengaluru / bangalore

randstad india
position type
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bengaluru / bangalore
Information Technology
position type
reference number
randstad india

job description

senior data analyst in bengaluru / bangalore

We are a very customer-centric team with high ownership. We rely on powerful insightful data to enhance the customer experience. The problems and challenges that the data science team tackles are ranging from automated smart savings, underwriting credit, underwriting insurance, personalized services, AI agents, and many more. Solving these problems for our customers will have a deep social and economic impact.

Key Responsibilities

  • Considering startup, instrumental role in setting up DataWarehouse schema and analytical database/tables.
  • Consumer Insights (Regular data insights, business recommendations).
  • Credit / Risk Analytics (Credit scoring, delinquency tracking, limit assessment)
  • Product Analytics (A/B Testing, Funnel conversion, etc.)
  • Marketing Analytics (Targeted marketing, campaign performance, recommendation and personalization, Privilege programs, cross-sell, up-sell)
  • Investment Portfolio Analytics
  • Other areas - Collections, Dashboarding, CRM, etc.
  • Setting up Analytical systems and schemas

Required skills

  • Expertise in statistical programming languages (SQL, R, Python, Tableau, or other BI tools), and ability to quickly churn data.
  • Advanced expertise with MS Excel and PowerPoint.
  • Hands-on experience on Tableau or equivalent BI tool
  • Comfortable with driving decisions on database schema at times, including defining data warehouse schema as well.
  • At least 5 years of experience in the field of Analytics.
  • Excellent problem-solving and analytical skills.
  • Should be a quick learner with the ability to learn new tools/technology quickly.
  • Strong understanding of analytics techniques, and comfortable with business KPIs.
  • Intellectual and analytical curiosity.
  • Expertise in data analytics and providing data-driven insights that help in taking business decisions.


Python, R, SQL, tableau, Data analysis, PowerPoint, Microsoft Excel