Associate, MI Commercial Data

S&P Global

Islamabad

Hybrid

PKR 1,200,000 - 2,400,000

Full time

37 hours ago
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Benefits offered by this job

Health care coverage
Generous time off

Job summary

S&P Global is seeking a data quality and governance professional to ensure clean, reliable commercial data across Master, Reference, and Transactional datasets. You will correct and validate data in Salesforce, perform QA, and provide analytical insights to support Finance, Sales, Marketing, and Analytics.

Collaborate with CRM Operations, Order Management, Fulfillment, and Digital Technology Services, while working from the office at least 2 days per week in Islamabad.

Qualifications

  • 2–3+ years in data quality, analysis, or a related field.
  • Strong analytical and problem-solving abilities.
  • Excellent written and oral communication.
  • Ability to work independently and as part of a team.
  • Commitment to S&P Global values and purpose.

Responsibilities

  • Ensure timeliness and accuracy of Master, Reference, and Transactional data.
  • Perform data correction, cleansing, and QA in Salesforce.
  • Manage data issues, root-cause analysis, and proactive quality checks.
  • Transform data to produce descriptive, predictive, and prescriptive insights.
  • Share daily performance insights and align with team goals.

Skills

Analytical skills
Problem-solving
Communication
Independence
Growth mindset

Tools

Excel
SOQL
Data warehouse

Job description

About the Role:

Grade Level (for internal use): 07 The Team: Our mission is to govern data and controls to deliver high-quality, reliable, and secure commercial data, empowering our people to make informed, data-driven decisions. This highly trained and motivated team of professionals oversees every aspect of the data lifecycle, ensuring data quality and integrity according to established governance principles. You will closely coordinate with various internal teams, including CRM Operations, Order Management, Fulfillment, Marketing, Divisional and Corporate Finance, and Digital Technology Services, to ensure effective data management for all Commercial data.

Responsibilities and Impact:
  • This role is critical for ensuring the timeliness and accuracy of Master, Reference, and Transactional commercial data used by Finance, Sales, Marketing, and Analytics teams. Your contributions will directly impact the division's sales performance within the Customer & Growth Office.
  • Primarily responsible for data correction, cleansing, and quality assurance of data collected and processed in Salesforce.
  • Serve as a data quality resource, managing data issues, conducting root cause analysis, and performing proactive quality checks.
  • Utilize and transform commercial and Finance data to produce descriptive, predictive, and prescriptive analyses, supporting strategic business solutions.
  • Actively contribute to team goals by sharing insights from daily performance and understanding how your role fits into the team's broader objectives.
  • Support the achievement of goals through personal effort, focusing on the quality of support provided, and seeking guidance as appropriate.

All employees are required to work from the office a minimum of 2 days per week.

What We're Looking For:

This position requires a smart, results-oriented professional with a strong learning aptitude and growth mindset, capable of solving business problems and providing analytical insights.

Basic Required Qualifications:
  • An S&P Global employee at this level would typically have 2-3+ years of experience in data quality, analysis, or a related field.
  • Strong analytical and problem-solving skills, with a proven ability to solve complex data analysis problems.
  • Excellent communication skills, both written and oral, with the ability to clearly express thoughts and ideas.
  • Ability to work independently and as a fully contributing member of a team, managing own time and tasks effectively.
  • Commitment to the S&P Global purpose and values, demonstrating commitment to work and team.
Additional Preferred Qualifications:
  • Knowledge of statistical concepts with the ability to perform both quantitative and qualitative analysis.
  • Intermediate to advanced Excel knowledge, including complex formulas, pivot tables, and power tools.
  • Knowledge of SOQL (Salesforce Object Query Language) and data warehouse experience.
  • A natural curiosity to learn and understand shifting team priorities, contributing proactively beyond direct day-to-day tasks.
About S&P Global Market Intelligence

At S&P Global Market Intelligence, a division of S&P Global we understand the importance of accurate, deep and insightful information. Our team of experts delivers unrivaled insights and leading data and technology solutions, partnering with customers to expand their perspective, operate with confidence, and make decisions with conviction.

For more information, visit www.spglobal.com/marketintelligence.

What's In It For You?
  • Our Mission: Advancing Essential Intelligence.
  • Our People: We're more than 35,000 strong worldwide-so we're able to understand nuances while having a broad perspective. Our team is driven by curiosity and a shared belief that Essential Intelligence can help build a more prosperous future for us all.From finding new ways to measure sustainability to analyzing energy transition across the supply chain to building workflow solutions that make it easy to tap into insight and apply it. We are changing the way people see things and empowering them to make an impact on the world we live in. We are committed to a more equitable future and to helping our customers find new, sustainable ways of doing business. Join us and help create the critical insights that truly make a difference.
  • Our Values: Integrity, Discovery, Partnership
  • Benefits: We take care of you, so you can take care of business. We care about our people. That's why we provide everything you-& your career-need to thrive at S&P Global.
  • Health & Wellness: Health care coverage designed for the mind and body.
  • Flexible Downtime: Generous time off h
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