Techno-Functional Business Analyst

Lets 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.