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fulltime·NielsenIQ

Principal Data Operations Analyst (Statistics & Analytics)

Chennai, IndiaEstimated ₹13 - 25 LPA5 skills

This is our market estimate, based on AmbitionBox NielsenIQ Senior Analyst 4-13.4L and Senior Software Engineer 10-37L benchmarks. It is not the employer's disclosed pay.

Skills & Stack

StatisticsData analysisSQLPythonData tooling

About the Role

Principal analyst leading advanced statistical delivery, tooling and methodology for NielsenIQ On-Premise Analytics in Chennai.

About NielsenIQ

Consumer intelligence and retail analytics company.

What You'll Do

8 items
  • 1Deliver advanced analytics for Client Services teams, including sample and control group analysis, situational analysis and price elasticity
  • 2Translate business and client questions into appropriate analytical approaches, drawing on relevant data sources
  • 3Develop and improve analytical techniques, reporting systems and tools that make data and insight easier to access and use
  • 4Guide Client Services teams on the scope and suitability of analytical projects, explaining results, assumptions and limitations clearly
  • 5Explore existing data sources to identify opportunities for new analysis and deeper insight
  • 6Understand client needs and ensure methodologies and outputs address the brief and support commercial decisions
  • 7Evaluate data sources and recommend analytical services or tools that could create additional value and revenue
  • 8Proactively explore GB data and data from other countries to identify opportunities to extend existing products and analytical services

What We're Looking For

  • Strong experience delivering analytical projects and translating complex data into practical business recommendations
  • A sound understanding of statistical and analytical methods, with the ability to select, explain and evaluate appropriate approaches
  • Experience developing or improving analytical methodologies, reporting tools or processes
  • Clear communication skills, including the ability to explain technical findings to audiences with different levels of analytical knowledge
  • Strong stakeholder and project management skills, with the ability to balance competing priorities and deliver high-quality work
  • The ability to mentor colleagues, share expertise and provide analytical guidance

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