Data Analyst, Master Data Management

NISA Investment Advisors, LLC
St. Louis, MO, United States
2 months ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Job source

Tech stack

Relational Databases Query Languages Python (Programming Language) Reference Data SQL Databases Data Analytics Data Management

Job description

The Master Data Management (MDM) team exists to deliver business-critical data to the enterprise efficiently, effectively, and at scale resulting in reduced data siloes, de-coupling, and cost management. We seek to be a strategic partner designing robust, innovative, client-focused solutions with integrity. As a member of Master Data Management, the Analyst will work as part of a growing team responsible for managing core investment data for the enterprise, including security reference data, security pricing and valuations data, FX rates, and related reference data. This data spans across instrument types (i.e., stocks, bonds, and derivatives) and major asset classes (i.e., equities, rates, credit, commodity, etc.). The Analyst will work at the intersection of finance and technology and will collaborate with cross-functional teams across departments including IT, Portfolio Management, Client Services, and Operations on a daily basis. Day-to-day responsibilities include triaging data quality issues with relevant business and technical teams, translating business needs into technical requirements, and designing and building solutions to solve complex data needs.

Requirements

Do you have experience in Triage?, Do you have a Bachelor’s degree?, NISA Investment Advisors, LLC (NISA) offers customized investment solutions for tax-exempt and taxable institutional clients. NISA manages over $295 billion in fixed income and equity securities and over $167 billion in derivative notional value. We seek bright, motivated individuals who can contribute to our growing team of professionals. Candidates with a high degree of independent thinking skills, strong analytical and quantitative skills, and team playing abilities are encouraged to apply., * Bachelor’s degree required and preferred in a field requiring strong analytical and quantitative skills

  • Intermediate-level knowledge of financial markets (equities, fixed income, derivatives)
  • Process-minded with the ability to connect the dots and see patterns
  • Experience with relational databases and query languages - ex. SQL, Python - or a demonstrated interest in learning preferred
  • Experience working with investment data such as security masters, security pricing and valuations, security ratings, or investment accounting preferred
  • Demonstrated intellectual curiosity and problem-solving
  • Ability to work in a fast-paced environment, both independently and within a team setting
  • Ability to accurately communicate between teams and departments to document processes and resolve issues, NISA’s culture encourages collaboration and innovation. We seek self-motivated, intellectually curious individuals willing to push themselves and others in an environment that celebrates fresh thinking. We equip employees with the resources needed to excel and we encourage personal development. NISA is dedicated to internally cultivating and rewarding talent. Employees at NISA are provided with a wide range of benefits, including health, dental, vision and life insurance options, paid time off, a competitive retirement plan, onsite cafeteria, fitness center, a health and wellness program and an educational assistance program.

Benefits & conditions

Pulled from the full job description

  • Tuition reimbursement
  • Health insurance
  • Retirement plan
  • Paid time off
  • Vision insurance
  • Dental insurance
  • Life insurance

Apply for this position

This job is hosted externally. Click below to view the full posting and apply.

Apply on indeed.com

Good distractions

Talks and stories from around this role — technically off-topic, practically not.

1:14 min

Evolution of distributed SQL database architectures

Wei Hu Wei Hu · WWC 2024

3:45 min

Duplicating permanent data intentionally instead of managing unstable references

Stanimira Vlaeva · JS Congress

1:32 min

Structuring platforms for new services and data analytics

Nevelina Aleksandrova · LIVE

14:14 min

Addressing audience inquiries on analytical implementation and career growth

Julian Joseph · LIVE

2:44 min

Integrating data analytics into the talent acquisition function

Kobi Kobi +1 · WWC 2025

1:36 min

Evolution from key-value stores to distributed SQL

Wei Hu Wei Hu · WWC 2025

Videos

See all

Related articles

See all