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ISS (Institutional Shareholder Services)

Techno-Functional Business Analyst

Posted 4 Days Ago
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Mumbai, Maharashtra
Mid level
Mumbai, Maharashtra
Mid level
The Techno-Functional Analyst role involves understanding business processes, developing data testing tools, collaborating with teams, and enhancing data quality and processes.
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Let’s be #BrilliantTogether

ISS STOXX is growing! ISS STOXX is actively looking for an Techno Functional Analyst to Join the Mumbai Team (Goregaon East).

Overview:

We are looking for a skilled techno-functional analyst with 3-5 years of experience, a strong proficiency in SQL and/or Python, exploratory data analysis skills, and preferably a good understanding of data pipelines, architecture, methodology and processes related to capital markets data. The ideal candidate will have a blend of technical expertise and functional knowledge, and ability to collaborate with stakeholders in a global setting, create functional specification document and develop  ETL mechanisms.

Responsibility:

  • Gain a thorough understanding of existing systems and business processes.

  • Develop tools and frameworks that facilitate large-scale automated data testing and exception reporting

  • Take ownership of developing certain logics and methodology in data pipeline

  • Collaborate with stakeholders to understand and interpret system level requirements

  • Convert requirements into functional/technical specifications, data models etc.

  • Develop metrics and solutions to assess, monitor and improve data quality

  • Conduct data validation, cleansing, and quality checks to ensure data accuracy and integrity

  • Identify areas for process improvement based on data analysis and recommend solutions to enhance efficiency

  • Define and execute data testing strategy for each project and ensure optimal test coverage on all scenarios

  • Contribute to defining data architecture and processes, enhancing algorithms and making our data-related processes more efficient

  • Collaborate with cross-functional teams to implement new systems and provide end-to-end support for the same

Qualification:

  • Bachelors or higher degree in Engineering/Information Science/Statistics/Mathematics/Physics/Computer Applications.

  • Post-graduate program in Finance/Financial Accounting/Capital Markets or a CFA Level 1

  • 4-5 years of experience with data wrangling and analytics using Python/R and SQL

  • Familiarity with firmographic or capital markets data provided by vendors such as Bloomberg, Refinitiv, Factset, ICE and S&P

#ASSOCIATE

#DEVELOPMENT

#LI-RG1

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. 

Top Skills

Data Pipelines
ETL
Python
SQL

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