Senior Data Quality Analyst (Python/R & SQL)

Let’s be #BrilliantTogether

ISS STOXX is actively hiring for Senior 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 the Market Intelligence Vertical. 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 Market Intelligence (MI) with advanced data technology and analysis, requiring proficiency in SQL and Python, among other tools.

What We Offer: Your Growth & Learning Path

• Exposure to a Modern Tech Stack: Work hands-on with a sophisticated technology suite including Python, SQL, Docker, and Power BI. You'll have the opportunity to explore and implement cutting-edge data quality libraries (e.g., Great Expectations, Pandera) and even delve into the applications of LLMs and machine learning.

• Deep Domain Expertise: This unique techno-functional role provides an unparalleled opportunity to deepen your expertise at the intersection of Market Intelligence and advanced data analytics. You won't just be processing data; you'll be understanding the 'why' behind it in a complex financial landscape.

• Impact and Ownership: As a senior member of the QBIT team, you'll have significant autonomy. You will build validation frameworks from the ground up, prototype models, and directly influence the quality and accuracy of our core Market Intelligence products, making a tangible impact on the business.

Responsibilities:

Data QA Framework Development:

• Develop prototypes of models, data processes, and business logic for MI products.

• Design and implement frameworks using Python 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 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: Bachelor’s or Master’s degree in Engineering, Information Science, or a related field, with strong hands-on experience in data manipulation, analysis, and programming using Python.

• Experience: 6–8 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.

• 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
#MIN
​#LI-SS1

What You Can Expect from Us

At ISS STOXX, our people are our driving force. We are committed to building a culture that values diverse skills, perspectives, and experiences. We hire the best talent in our industry and empower them with the resources, support, and opportunities to grow—professionally and personally.

Together, we foster an environment that fuels creativity, drives innovation, and shapes our future success.

Let’s empower, collaborate, and inspire.

Let’s be #BrilliantTogether.

About ISS STOXX

ISS STOXX GmbH is a leading provider of research and technology solutions for the financial market. Established in 1985, we offer top-notch benchmark and custom indices globally, helping clients identify investment opportunities and manage portfolio risks. Our services cover corporate governance, sustainability, cyber risk, and fund intelligence. Majority-owned by Deutsche Börse Group, ISS STOXX has over 3,400 professionals in 33 locations worldwide, serving around 6,400 clients, including institutional investors and companies focused on ESG, cyber, and governance risk. Clients trust our expertise to make informed decisions for their stakeholders' benefit. 

Visit our website: https://www.issgovernance.com       

View additional open roles: https://www.issgovernance.com/join-the-iss-team/      

Institutional Shareholder Services (“ISS”) is committed to fostering, cultivating, and preserving a culture of diversity and inclusion. It is our policy to prohibit discrimination or harassment against any applicant or employee on the basis of race, color, ethnicity, creed, religion, sex, age, height, weight, citizenship status, national origin, social origin, sexual orientation, gender identity or gender expression, pregnancy status, marital status, familial status, mental or physical disability, veteran status, military service or status, genetic information, or any other characteristic protected by law (referred to as “protected status”).  All activities including, but not limited to, recruiting and hiring, recruitment advertising, promotions, performance appraisals, training, job assignments, compensation, demotions, transfers, terminations (including layoffs), benefits, and other terms, conditions, and privileges of employment, are and will be administered on a non-discriminatory basis, consistent with all applicable federal, state, and local requirements.