Data Associate at S&P Global

Hyderabad, Telangana, India -

Full Time

Start Date

Immediate

Expiry Date

15 Apr, 26

Salary

0.0

Posted On

15 Jan, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Management, Data Analysis, SQL, ETL Processes, Data Governance, AI Tools, Machine Learning, Data Quality Assurance, Problem Solving, Documentation, Collaboration, Agile Framework, Data Modeling, Data Processing, Client Services, Research

Industry

Financial Services

Description

About the Role: Grade Level (for internal use): 09 Position summary We are looking for self-driven individuals with great problem solving and analytical skills to fill data steward position within the ESG group. The successful candidate will become an SME on climate and environmental data products and any other new products which are supported from the group. Duties & accountabilities Work cross-functionally with data ops, technology, research, and product teams for the successful implementation of new products and enhancements, ensuring seamless integration across multiple data sources and platforms Understand the data requirements of research team and work with shared capabilities team to aggregate data into data platform from various sources like CIQ Pro, IHS, Commodity Insights, etc., while maintaining data lineage and establishing robust data governance protocols Responsible for the quality of new and existing datasets data refreshes, implementing comprehensive validation frameworks and establishing quality metrics that ensure data accuracy and completeness across all deliverables Create and own documentation on data flows and identify and manage pre- and post-steps in the data management process, including detailed process maps, dependency tracking, and impact analysis for system changes Develop gradual and ever-increasing expertise on the core climate, impact, and downstream innovation data sets, becoming a subject matter expert who can guide strategic decisions and provide insights on data trends and anomalies Leverage AI and machine learning tools for automated quality checking, anomaly detection, and dataset validation to enhance data accuracy and reduce manual review time Utilize AI-powered tools for dataset building, including automated data classification, pattern recognition, and predictive modeling to improve data enrichment processes Clearing internal and external client cases on timely manner and coming up with preventive quality checks, including root cause analysis and implementation of systematic improvements to prevent recurring issues Work closely with Scrum, Research and Product teams for creation/finalization of data structures for new datasets, ensuring optimal performance and scalability while meeting business requirements Work with the client services team to resolve any time-sensitive data delivery concerns and provide inputs on the long-term delivery strategy, including capacity planning and resource optimization What We're Looking For: Basic Required Qualifications: Bachelor's or advanced degree in computer science, data science, finance, or management 5+ years of Data Management/Operations experience within the financial industry with demonstrated expertise in large-scale data processing and quality management Experience working with database structures and data analysis, including proficiency in data modeling, ETL processes, and data warehouse concepts Comfortable with SQL with the ability to write moderate to complex data pull queries, stored procedures, and performance optimization techniques Understanding of Agile framework and experience working in sprint-based development cycles with cross-functional teams Experience with AI/ML tools for data quality assurance, anomaly detection, or automated dataset validation Self-starter that can work independently with little supervision, and lead teams to a common goal while managing multiple priorities in a fast-paced environment Additional Preferred Qualifications: Knowledge of data platforms such as Databricks, Snowflake, or AWS, programming languages like Python or R, and version control tools like Git or similar collaboration platforms Experience implementing AI-powered solutions for data management, including machine learning models for data classification, quality scoring, or automated data enrichment Strong collaborator across global teams and with multiple functional roles including research, technology, product management and client services, with proven ability to translate technical concepts to business stakeholders Experience with ESG market: market needs, competitive landscape, methodologies, regulatory landscape, and market trends, particularly in sustainability data and climate risk assessment Personal competencies Personal impact Very strong customer service and problem-solving skills Focused on Operational Control and Data Security Flexible and able to adapt to change Able to work independently with minimal supervision Communication Excellent interpersonal, written and verbal communication skills Strong listening skills Ability to explain comples ideas in a simple way Teamwork Strong team player working at all levels of the business Assist in coordinating the implementation of change to improve established performance guidelines 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’re 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 world's 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 can take care of business. We care about our people. That’s why we provide everything you—and your career—need 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: It’s 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 awards—small perks can make a big difference. For more information on benefits by country visit: https://spgbenefits.com/benefit-summaries Global Hiring and Opportunity at S&P Global: At S&P Global, we are committed to fostering a connected and engaged 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. Recruitment Fraud Alert: If you receive an email from a spglobalind.com domain or any other regionally based domains, it is a scam and should be reported to reportfraud@spglobal.com. S&P Global never requires any candidate to pay money for job applications, interviews, offer letters, “pre-employment training” or for equipment/delivery of equipment. Stay informed and protect yourself from recruitment fraud by reviewing our guidelines, fraudulent domains, and how to report suspicious activity here. ----------------------------------------------------------- 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. If you need an accommodation during the application process due to a disability, please send an email to: EEO.Compliance@spglobal.com and your request will be forwarded to the appropriate person. US Candidates Only: The EEO is the Law Poster http://www.dol.gov/ofccp/regs/compliance/posters/pdf/eeopost.pdf describes discrimination protections under federal law. Pay Transparency Nondiscrimination Provision - https://www.dol.gov/sites/dolgov/files/ofccp/pdf/pay-transp_%20English_formattedESQA508c.pdf ----------------------------------------------------------- 10 - Officials or Managers (EEO-2 Job Categories-United States of America), DTMGOP103.1 - Middle Management Tier I (EEO Job Group), SWP Priority – Ratings - (Strategic Workforce Planning) S&P Global delivers Essential Intelligence® that shapes decision making. We provide the world’s leading organizations with the right data, connected technologies and expertise they need to move ahead. As part of our team, you’ll help solve complex challenges that equip businesses, governments and individuals with the knowledge to adapt to a changing economic landscape.

Responsibilities

The Data Associate will work cross-functionally to implement new products and enhancements, ensuring integration across multiple data sources. They will also be responsible for data quality, validation frameworks, and documentation of data flows.