Data Analyst, Master Data Management | Finance Data

NISA Investment Advisors, LLC; St. Louis (MO); On-site; USD 70,000 - 95,000; Full time

Job summary

NISA Investment Advisors, LLC is seeking an Analyst for the Master Data Management (MDM) team to manage core investment data across security reference data, pricing, valuations, FX rates, and related data. You will work at the intersection of finance and technology, collaborating with IT, Portfolio Management, Client Services, and Operations on data solutions.

The role emphasizes triaging data quality issues, translating business needs into technical requirements, and implementing scalable data

Qualifications

• Bachelor's degree in a field requiring strong analytical and quantitative skills.
• Intermediate knowledge of financial markets (equities, fixed income, derivatives).
• Process-minded with ability to connect dots and detect patterns.
• Experience with relational databases and query languages (SQL, Python) or willingness to learn.
• Experience with investment data such as security masters, pricing, valuations, or accounting preferred.
• Demonstrated curiosity and problem-solving ability.
• Ability to work quickly and effectively in a team environment.
• Ability to document processes and communicate across teams to resolve issues.

Responsibilities

• Triages data quality issues with business and tech teams.
• Translates business needs into technical requirements.
• Designs and builds solutions for complex data needs.
• Participates in on-call rotations.

Skills

Analytical thinking

Financial markets knowledge

Data analysis

Communication

Education

Bachelor's degree in a quantitative field

Tools

SQL

Python

Relational databases

Job description

NISA Investment Advisors, LLC is seeking an Analyst for the Master Data Management (MDM) team to manage core investment data across security reference data, pricing, valuations, FX rates, and related data. You will work at the intersection of finance and technology, collaborating with IT, Portfolio Management, Client Services, and Operations on data solutions.

The role emphasizes triaging data quality issues, translating business needs into technical requirements, and implementing scalable data