Business Insights Professional

16 hours ago


Pune, Maharashtra, India beBeeBusiness Full time ₹ 1,04,000 - ₹ 1,30,878
Business Insights Professional

We are seeking a highly skilled Business Insights Professional to join our team. The ideal candidate will have expertise in analyzing large, multi-dimensional data sets and synthesizing data insights into actionable recommendations.

The successful candidate will be responsible for collecting, analyzing, and interpreting data from various sources to identify trends, patterns, and insights relevant to business objectives.

This role requires collaboration with stakeholders to understand their data needs and translate requirements into analytical solutions.

  • Data Analysis: Collect, analyze, and interpret data from various sources to identify trends, patterns, and insights relevant to business objectives.
  • Reporting and Insights: Perform ad-hoc analysis, reporting to support decision-making, solve business problems, and drive operational efficiencies.
  • Stakeholder Collaboration: Collaborate with business stakeholders to understand their data needs and translate requirements into analytical solutions.
  • Data Validation: Conduct data validation and quality assurance to ensure accuracy, completeness, and reliability of reports and analysis.
  • Cross-Functional Collaboration: Work cross-functionally with Marketing, Strategy, Customer Success teams for various Sales and Marketing programs and initiatives; make clear, coherent and holistic recommendations based on test results.
  • Analytical Deep-Dives:
  • Data Integration: Integrate data from all 3rd party sources and develop Machine Learning algorithms to build propensity and value models for different products and geographies.
  • Leadership: You will be reporting to Senior Manager, Business Analytics Finance.

What You'll Need to Be Successful

  • Experience: 3+ years of relevant work experience in analyzing large, multi-dimensional data sets and synthesizing data insights into actionable recommendations.
  • Degree: A degree in a quantitative discipline such as Computer Science, Statistics, Engineering, or Mathematics.
  • Skills: Fluent in Python, SQL and MS-Excel (can maintain complex spreadsheets); experience with visualization tools such as PowerBI and building statistical models.


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