Research Associate I
Job Summary
Grade Level (for internal use):
07Role Scope
The Data Research Associate is an individual contributor role that develops foundational proficiency in one or more workflows or
datasets. The role supports end-to-end data lifecycle activities including sourcing basic validation enrichment and delivery under
guidance adhering strictly to standard operating procedures (SOPs) and set guidelines and escalating deviations for a defined
dataset or workflow.
The role emphasizes building strong data literacy and operational discipline learning industry concepts and collaborating with other
data research teams. Associates contribute to UAT and day-to-day solutioning follow established standards and participate in
continuous process improvement and the adoption of technology and AI-enabled workflows.
What Youll Do (Key Responsibilities)
Operational Delivery
Collect extract and cleanse data for assigned workflows or datasets from structured and unstructured sources.
Execute sourcing tagging loading and basic enrichment activities in strict adherence to SOPs rule books and predefined
validation checks.
Execute day-to-day data collection extraction and basic cleansing using approved manual and AI-assisted methodologies.
Record production accurately in workflow and queue management tools ensuring clear notes for traceability and handovers.
Monitor assigned queues and proactively flag delays blockers data gaps or unusual patterns for senior team members.
Operate within approved rules and workflows; pause processing and escalate promptly when inputs deviate or sources are
unclear.
Meet defined daily and weekly production and quality targets for assigned queues.
Provide clear logs and supporting evidence to enable basic root-cause analysis when issues occur.
Process Excellence
Maintain audit-ready documentation and follow established handover protocols and controls.
Adhere consistently to governance standards controls and documentation requirements.
Apply quality feedback consistently to reduce repeat errors and follow the first-time correct approach.
Suggest small incremental process improvements (e.g. checklists prompts query snippets) for senior review and approval.
Participate in automation- and AI-assisted workflows and small pilots under governance using approved tools and prompts to
support efficiency exception handling and quality improvement.
Stakeholder Management
Coordinate with immediate team members to clarify requirements and resolve day-to-day data issues.
Share timely updates with senior team members on production volumes issues and delays.
Participate in team stand-ups huddles and calibration sessions to align priorities quality expectations and standards.
How Impact Will Be Measured (Success Metrics)
Percentage of tasks completed within defined SLAs for volume and timeliness.
First-pass data quality outcomes (accuracy and completeness) and reduction in repeat errors.
Adherence to SOPs and documentation standards reflected in clean audits and zero critical deviations.
Responsiveness to feedback and learning velocity including effective queue management during peak periods.
Handover/documentation completeness at 100% for assigned queues (steps sources checks evidence).
For This Role Youll Need to Have (Skills & Competencies)
Technical Skills
Familiarity with structured/unstructured data formats (Excel PDFs filings news vendor feeds etc).
Beginner knowledge of SQL/Excel for querying filtering and reconciling data.
Awareness of automation and GenAI tools; ability to follow prescribed usage patterns.
Exposure to data lifecycle concepts (source ingest validate publish).
Functional Skills
Basic understanding of financial/market or domain data concepts relevant to the assigned dataset.
Ability to perform data entry tagging and basic enrichment accurately.
Capability to read and interpret simple source materials (e.g. filings vendor feeds news).
Structured escalation of exceptions with appropriate evidence and context.
Ability to quickly learn and work with enterprise data capture tools workflow systems and ticketing platforms.
Behavioral Skills
Strong attention to detail and operational discipline; balance speed with accuracy.
Learning agility and openness to feedback and coaching.
Clear communication and collaboration during team interaction.
Accountability for own work queues with proactive risk identification.
Comfort working with repetitive tasks while maintaining accuracy.
Proactive & growth mindset in improving the product and operations.
Demonstrates strong learning agility and digital acumen with a continuous learning mindset and the ability to adapt to evolving tools and technologies.
Preferred Education & Experience
Bachelors degree in Finance Economics Commerce Science Engineering or related fields.
02 years of relevant experience in data operations research or related roles
Key Interfaces & Stakeholders
Data Research & Operations team members (Associates Specialists)
Data Quality and Data Stewards teams for issue assessment and resolution
Process Leads / Front-Line Managers and internal support teams (via workflow or ticketing tools)
Whats In It For You
Our Mission:
Advancing Essential Intelligence.
Our People:
Were more than 35000 strong worldwideso were 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 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. Were 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
Throughout our history the worlds leading organizations have relied on us for the Essential Intelligence they need to make confident decisions about the road ahead. We start with a foundation of integrity in all we do bring a spirit of discovery to our work and collaborate in close partnership with each other and our customers to achieve shared goals.
Benefits:
We take care of you so you cantake care of business. We care about our people. Thats why we provide everything youand your careerneed to thrive at S&P Global.
Our benefits include:
Health & Wellness: Health care coverage designed for the mind and body.
Flexible Downtime: Generous time off helps keep you energized for your time on.
Continuous Learning: Access a wealth of resources to grow your career and learn valuable new skills.
Invest in Your Future: Secure your financial future through competitive pay retirement planning a continuing education program with a company-matched student loan contribution and financial wellness programs.
Family Friendly Perks: Its not just about you. S&P Global has perks for your partners and little ones too with some best-in class benefits for families.
Beyond the Basics: From retail discounts to referral incentive awardssmall perks can make a big difference.
For more information on benefits by country visit: Hiring and Opportunity at S&P Global:
At S&P Global we are committed to fostering a connected andengaged workplace where all individuals have access to opportunities based on their skills experience and contributions. Our hiring practices emphasize fairness transparency and merit ensuring that we attract and retain top talent. By valuing different perspectives and promoting a culture of respect and collaboration we drive innovation and power global markets.
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Equal Opportunity Employer
S&P Global is an equal opportunity employer and all qualified candidates will receive consideration for employment without regard to race/ethnicity color religion sex sexual orientation gender identity national origin age disability marital status military veteran status unemployment status or any other status protected by law. Only electronic job submissions will be considered for employment.
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Required Experience:
IC
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