Associate - Research & Data

4 days ago

Remote, India Wesource Business Solutions Full time ₹ 6,00,000 - ₹ 8,00,000 per year

Job Summary:

Duties and Responsibilities:

  1. Responsible for gathering market intelligence & product portfolio of competitors in different categories.

  2. Monitoring competitors' online activities. Analyze and provide relevant insights.

  3. Collects, stores and reproduces the data in desired excel format, ensuring data consistency and integrity. Produce reports, presentations and briefs.

  4. Data mining – Desktop research regarding business intelligence such as market, industry, competition, customers, products, consumers, suppliers, warranty etc.

  5. Management of product info in EPREL database. Uploading, editing, and generating EU labels from EPREL system.

  6. Management of technical specifications of all our brands by getting them from the Suppliers and maintaining them in specific formats tailor made to different markets

  7. Extract OEM fitments info of all Global markets – , TGP

  8. Ensure compliance with international tire regulations, including EU labeling standards beyond EPREL, FMVSS.

  9. Assist in preparing R&D reports and presentations; highlighting key findings from data mining

Qualifications:

  1. Bachelor's degree in business, economics, finance, or a related field.

  2. Excellent knowledge in Advance Excel, XLOOKUP, filtering, Conditional formatting and data validation.

  3. Experience in Creating Excel Dashboard reports

  4. Experience in handling statistical data

  5. Proficiency in data analysis tools such as Python, R, or SQL for handling large datasets and performing advanced analytics.

Job Types: Full-time, Permanent

Pay: ₹600, ₹800,000.00 per year

Application Question(s):

  • How soon can you join ?
  • Do you have experience in Advance Excel, XLOOKUP, filtering, Conditional formatting and data validation.
  • Do you have experience in handling statistical data
  • Do you have experience in Creating Excel Dashboard reports
  • Do you have experience and Proficiency in data analysis tools such as Python, R, or SQL for handling large datasets and performing advanced analytics.

Work Location: Remote

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