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Data Analyst

project

Pune Division, Maharashtra, India2h agovia LinkedIn

About the Role

project operates in a dynamic environment focused on data-driven decision-making and continuous improvement. The organization values analytical thinking, collaboration, and practical problem-solving to support business growth and operational efficiency. Team members are encouraged to take ownership of their work, contribute ideas, and help translate complex data into actionable insights. The workplace culture emphasizes learning, professional development, and the use of modern tools and methodologies to deliver high-quality outcomes.

This is a full-time, on-site Data Analyst role based in the Pune Division.

Key Responsibilities

  • Collect, clean, and analyze data from multiple sources to support reporting, performance measurement, and strategic decision-making.
  • Build and maintain dashboards.
  • Create data models.
  • Perform statistical analyses.
  • Prepare clear visualizations and reports for stakeholders.
  • Collaborate with cross-functional teams to understand business needs, translating them into analytical requirements.
  • Present findings in a concise, accessible manner.
  • Improve data quality.
  • Document processes.
  • Recommend enhancements to existing analytics solutions.

Requirements & Tech Stack

  • Analytical Skills
  • Data Analytics experience
  • Foundational knowledge of Statistics
  • Proficiency in Data Modeling
  • Experience working with structured and unstructured datasets.
  • Communication skills
  • Proficiency with analytics and visualization tools (e.g., Excel, SQL, Power BI, Tableau, or similar) is beneficial.
  • Ability to work on-site in Pune Division.
  • Ability to manage multiple tasks and meet deadlines with attention to detail.
  • Experience with scripting or programming languages (e.g., Python, R) and familiarity with databases or BI platforms is an advantage.

Qualifications

  • Bachelor’s degree in a quantitative field such as Data Science, Statistics, Mathematics, Computer Science, or related discipline is preferred.

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