Data Quality Jobs in Hyderabad, Telangana

About the Role: The Data Quality Measurement Team plays a pivotal role in ensuring the integrity, timeliness, and reliability of data used by various business units. The primary goal is to uphold high standards for data quality, ensuring that data is sufficiently accurate, reliable, and timely, in alignment with business or regulatory standards. The team is composed of highly skilled professionals who possess an in-depth understanding of business operations and strive to provide exceptional client experiences, while mitigating legal and regulatory risks for the organization. Key Responsibilities & Impact: Stakeholder Engagement: Collaborate with stakeholders to define requirements and usage needs for measuring data quality in a specific region or business unit. Data Quality Ownership: Take ownership of ongoing data quality measurement activities, focusing on specific regions or business areas to ensure high-quality data standards. Issue Identification & Remediation: Detect data quality issues, perform root cause analysis, and escalate issues for remediation to ensure data meets high-quality standards. Testing & Data Audits: Conduct testing on defined use cases for new technology and vendors. Deliver results and identify sources of errors in the data. Root Cause Analysis: Perform root cause analysis on smaller, self-contained data analysis tasks, often related to assigned or unfamiliar projects. Regulatory Compliance: Ensure compliance with regulatory requirements through data quality processes, particularly within the S&P Ratings division. Data Querying & Correction: Utilize data queries to identify and correct data inconsistencies, ensuring the accuracy and reliability of data. Functional and Business Knowledge: Data Development Lifecycle: Apply foundational knowledge of the data development lifecycle, tools, and theories to complete assignments efficiently. Business Understanding: Possess a basic understanding of business operations and data quality objectives within the team. Problem Solving: Data Issue Resolution: Identify and solve problems within the data domain, using analytical skills to propose clean, objective solutions. Technical Requirements Translation: Ability to analyze complex business problems and translate them into objective technical requirements with minimal business interaction. Passion for Innovation: Demonstrate a passion for problem-solving and the exploration of new technologies to improve data quality processes. Interactions: Internal Collaboration: Primarily work within the team but may also engage with related teams and stakeholders in the data domain to understand processes and procedures. Communication: Regularly communicate data quality updates within the team and to other relevant stakeholders. Typical Scope & Impact: Team Contribution: Contribute to the achievement of personal and team objectives, ensuring that data quality standards are met across the organization. Education & Experience Requirements: Minimum Qualifications: Bachelor s degree or equivalent experience required. 3-4 years of experience in a data operations role. Experience in data quality roles is a plus. Preferred Qualifications: Technical Skills: Experience with data visualization and analysis tools such as Advanced Excel, SQL, Oracle databases, Power BI, ETL, Python. Industry Knowledge: General understanding of financial and market data flows. Skills & Capabilities: Strong attention to detail and the ability to meet deadlines. Ability to effectively collaborate within a large, global team. Strong written and verbal communication skills. Analytical problem-solving skills with a willingness to ask questions and escalate unresolved concerns. Capable of holding others accountable for delivering key actions. About S&P Global Ratings: At S&P Global Ratings, we provide independent, analyst-driven credit ratings, research, and sustainable finance opinions that offer clarity and critical insights. Our high-quality credit assessments enable market participants to make confident decisions, uncover opportunities, and navigate complex economic landscapes. As part of S&P Global, we help organizations worldwide manage risk, plan for the future, and make data-driven decisions in the capital, commodity, and automotive markets.
Qualification :
Bachelors degree or equivalent experience required.

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