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ISS (Institutional Shareholder Services)

Techno Functional Business Analyst Lead

Posted 21 Days Ago
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Mumbai, Maharashtra
Mid level
Mumbai, Maharashtra
Mid level
The Techno Functional Business Analyst Lead will manage data quality and lineage, develop requirements for data projects, and collaborate across teams in capital markets data domains.
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Let’s be #BrilliantTogether

ISS STOXX is actively looking for a Techno Functional Business Analyst Lead to join our Data Management team in Mumbai (Goregaon East).

Overview:

Reference Data Management team drives a spectrum of activities related to data warehousing such as business analysis, exploratory data analysis, prototyping, relational data modeling, developing ETL logic, designing data systems, preparing requirement documents, ETL testing, data quality and metadata management, maintaining data lineage, and offering post-production support to data consumers. Together with Data Engineering team, the Reference Data Management team ensures accuracy, completeness and reliability of master and reference data warehouse that comprises of data about entities, financial instruments, ownership structure, fixed income securities, funds, market price and performance, company financials, company filings, corporate governance and numerous derived data items. This data is consumed by our client-facing data and analytics tools and research offerings.

Responsibilities:

  • Act as a subject matter expert in select capital markets data domains

  • Develop deep understanding of existing data systems, architecture, methodology, ETL logic, metadata, data quality and data lineage

  • Develop requirements document for various data warehousing projects by leveraging domain knowledge and by employing skills in exploratory data analysis, business analysis, system design, prototyping and technical writing

  • Develop tools, frameworks and scripts for data analytics and data/ETL testing

  • Define and execute data/ETL testing strategy for each project while ensuring optimal test coverage

  • Own management of data quality, metadata and lineage in select domains

  • Collaborate with business, product, data engineering and operations teams and in-house data consumers in a global setting

  • Recruit, coach and mentor talent, set goals and drive performance

  • Define/enrich processes and best practices covering various activities in Data Management

Qualification:

  • B.E./B.Tech. or Bachelors/Masters in Information Science/Physics/Mathematics/Statistics/Econometrics or an MCA or an equivalent 4-yr academic program well-grounded in concepts in computer science and numerical analysis

  • Post-graduate program in finance/capital markets domain or a CFA level 2 or equivalent

  • 6 to 9 years of experience in business analysis and/or ETL testing in capital markets domain

  • Strong experience of data wrangling, exploratory data analysis, visual analytics, and development of utilities, frameworks or tools using Python/R and SQL

  • Exposure to data provided by vendors such as Bloomberg, LSEG Group, Factset, S&P, Moody’s, MSCI, EDI, Morningstar, exchanges etc.

  • Experience of project planning and management

  • Experience of recruiting and nurturing talent, and driving performance

  • Ability to effectively communicate and collaborate in a global setting

  • Ability to adapt and work in a fast-paced environment with no supervision

Good to have:

  • Executive leadership training

  • IIBA CBAP certification or equivalent

  • Certifications in data analytics/science, business intelligence, SQL

  • Experience in any of these areas – relational data modeling, data engineering and architecture, ETL development

#MIDSENIOR

#DEVELOPEMENT

#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. 

STOXX® and DAX® indices comprise a global and comprehensive family of more than 17,000 strictly rules-based and transparent indices. Best known for the leading European equity indices EURO STOXX 50®, STOXX® Europe 600 and DAX®, the portfolio of index solutions consists of total market, benchmark, blue-chip, sustainability, thematic and factor-based indices covering a complete set of world, regional and country markets. STOXX and DAX indices are licensed to more than 550 companies around the world for benchmarking purposes and as underlyings for ETFs, futures and options, structured products, and passively managed investment funds. STOXX Ltd., part of the ISS STOXX group of companies, is the administrator of the STOXX and DAX indices under the European Benchmark Regulation. 

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

ETL
Python
R
SQL

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