Senior Data Quality Analyst (Python/R & SQL)

Job Description

ISS STOXX is actively hiring for Lead Data Quality Analyst to join our QBIT Team (Quality Assurance Benchmarking and Independent Testing) in Mumbai (Goregaon East), India. Overview: The Data Quality team independently verifies the accuracy of various models, data solutions, data processes, and business logic related to corporate governance and responsible investing. This includes developing prototypes, devising test cases, conducting production code reviews, and documenting results. The role involves designing, planning, executing, and supporting automated verification, software deployment, and release management. This techno-functional position blends the domains of ESG (Environmental, Social, and Governance) risk with advanced data technology and analysis, requiring proficiency in SQL and R/Python, among other tools. Responsibilities: Test Framework Development: Develop prototypes of models, data processes, and business logic for corporate governance and ESG responsible investing products. Design and implement frameworks using Python/R and SQL to verify the accuracy and efficiency of analytical solutions. If applicable, create UIs using Streamlit or other such tools for test framework and containerize those apps on Windows or Linux VMs using Docker or equivalent tools. Data Profiling & Visualization: Conduct data profiling and quality analysis to identify trends and issues. Utilize visualization tools like Power BI for defect analysis and insights. API Testing & Validation: Perform API sanity checks and validations using tools like Postman. Work with various API endpoints (XML, JSON, GraphQL) to ensure seamless data flow and integration. Project Support & Collaboration: Review product release artifacts, assist with deployments, and collaborate with Application Management teams. Assess data-oriented product testing scope, define timelines, and develop execution roadmaps. Automation & Advanced Analytics: Explore low-code libraries (e.g., Great Expectations, Sweetviz, Pandera) for automated data profiling. Leverage no-code tools like KNIME for effective data analytics. Familiarized with LLMs and machine learning techniques for data-driven automation initiatives wherever applicable (not mandatory but a plus) Qualifications: Educational Background : Bachelors or Masters degree in Engineering, Information Science, or a related field, with strong hands-on experience in data manipulation, analysis, and programming using Python or R. Experience : 7–9 years of experience in a data-driven role, with proven expertise in analytical programming, data wrangling, and data analysis. Financial Knowledge : An MBA (Finance), CFA Level 1/2, or CIPM certification is a significant plus. Knowledge in Corporate Governance and ESG is desirable. Detail-Oriented & Communicative : Exceptional attention to detail and strong communication skills, with the ability to collaborate effectively with global teams, ensuring alignment on project goals and deliverables. Self-Starter : A proactive mindset with the ability to work independently, adapt quickly to new challenges, and thrive in a fast-paced and evolving environment. Analytical Acumen : The ability to transform data into actionable insights by identifying patterns, trends, relationships, and clusters within datasets. #MIDSENIOR #STOXX #LI-PS1