Graduate Data Analyst – VIN Team | S&P Global Mobility

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Location: Gurgaon, India
Grade Level: 05
Employment Type: 12-Month Full-Time Contract (Graduate Program)

About the Role

S&P Global Mobility is looking for fresh graduates who are passionate about data, analytics, and the automotive industry to join our Global Data Operations (GDO) – Vehicle Identification Number (VIN) team. As a part of this team, you will work with over 200 vehicle attributes for the North American market, helping maintain high-quality, actionable data that integrates into multiple S&P Global products.

This is an excellent opportunity for graduates who want to kickstart their career in data operations and analytics while collaborating with global teams and major automotive OEMs.

Job Description :-
Company:S&P Global 
Job Role:Graduate Data Analyst
Batches:Recent Batch
Degree:Bachelor’s degree
Experience:Freshers
Location:Gurgaon, India
CTC/Salary:INR 4-7 LPA (Expected)

Key Responsibilities

As a Graduate Data Analyst (VIN Team), you will:

  • Research, Process & Maintain Vehicle Data: Conduct detailed research and manage data related to 200+ vehicle attributes for the North American market.
  • Data Transformation: Write and execute SQL queries, transform extracted data into Excel for analysis, and code the results into internal tools and applications.
  • Investigate Client Queries: Analyze client questions and Salesforce cases, identify discrepancies in coded data, and provide findings to vertical leads.
  • Provide Actionable Insights: Support customers by delivering accurate and valuable intelligence that enhances S&P Global products.
  • Identify & Drive Process Improvements: Look for opportunities to automate and optimize existing data processes.

What We’re Looking For

Required Qualifications

  • Education: B.Tech or equivalent degree (Mechanical/Automobile Engineering preferred).
  • Graduation Year: Freshers (2024 & 2025 graduates preferred).
  • Technical Skills:
    • Strong knowledge of MS Excel, Word, PowerPoint.
    • Proficiency in Python, SQL/PLSQL, and understanding of relational databases.
  • Attention to Detail: Ability to work with large datasets accurately and efficiently.
  • Analytical Skills: Strong problem-solving and data interpretation abilities.
  • Communication: Excellent written and verbal communication skills.
  • Collaboration: Ability to work effectively with a geographically dispersed team.

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Why Join S&P Global Mobility?

  • Be part of a global data operations team that directly impacts multiple high-value S&P Global products.
  • Work with leading automotive OEMs and industry professionals.
  • Gain hands-on experience with SQL, Python, and data analytics tools.
  • Opportunity to learn process automation and business intelligence techniques.
  • Collaborate with diverse, globally distributed teams in a dynamic environment.

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