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Data Analyst for Global Procurement & Planning COE

Mumbai Req ID JR-038672
Scientists wearing lab coats

Revvity | About Us

Revvity is a developer and provider of end-to-end solutions designed to help scientists, researchers, and clinicians solve the world’s greatest health challenges. We pair the enthusiasm of an industry disruptor with the experience of a longtime leader. Our diverse team of 11,000+ colleagues from around the globe are vital to our success and the reason we’re able to push boundaries in pursuit of better human health.

Find your future at Revvity.

Job Summary:We are seeking a detail-oriented and analytical Data Analyst to join our team. The ideal candidate will be responsible for collecting, analyzing, and interpreting data to help inform business decisions. The Data Analyst will work closely with various teams to identify trends, develop reports, and support strategic initiatives.

Key Responsibilities:

  • Collect, clean, and analyze data from various sources to identify trends and patterns.
  • Interpret data to provide insights and recommendations for business decisions.
  • Develop and maintain databases and data systems.
  • Create and present reports and data visualizations to stakeholders.
  • Collaborate with cross-functional teams to support strategic initiatives.
  • Stay current with industry trends and best practices in data analysis.

Qualifications:

  • Bachelor's degree in Data Science, Statistics, Mathematics, Economics, or related field.
  • Proven experience as a Data Analyst or similar role.
  • Proficient in data analysis tools and software (e.g., Excel, SQL, Python, R).
  • Strong analytical and problem-solving skills.
  • Excellent communication and presentation skills.
  • Ability to work independently and collaboratively in a team environment.
  • Attention to detail and accuracy.

Preferred Qualifications:

  • Master's degree in Data Science, Statistics, Mathematics, Economics, or related field.
  • Experience with data visualization tools (e.g., Tableau, Power BI).
  • Knowledge of machine learning techniques and algorithms.
  • Familiarity with data management and database systems.

Benefits:

  • [List any benefits offered, such as health insurance, retirement plans, etc.]
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