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# Data Analyst Investment Operations

- **Company:** Randstad
- **Location:** Boston, MA, United States
- **Experience:** Expert
- **Salary:** $83,200.0 - $93,600.0
- **Contract:** Permanent contract
- **Skills:** Microsoft Excel, Algorithmic Trading, Data Analysis, Business Logic, Big Data, Crystal Reports (Reporting Software), Data Governance, Data Transformation, Database Queries, Document-Oriented Databases, Python (Programming Language), Lookup Table, Pivot Tables, Reference Data, DataOps, SQL Databases, Enterprise Data Management, Data Management, Powerapps
- **Published:** October 6, 2026
- **Apply:** https://www.dice.com/job-detail/dc355bd5-3615-41b7-b8a9-ec81e44af4c3

## About the Role

We are seeking a highly motivated Operations Analyst who can work independently on complex processes. The ideal candidate will have knowledge of financial products and valuation coupled with a strong background in data management, including experience with SQL, PowerApps, and Python., Bachelor's degree in Finance, Economics, or a related field

 - 5+ years of experience in Data Operations, Data Governance, or Investment Operations within an Asset Manager or Hedge Fund.

 - Deep understanding of financial instruments (Equities, Bonds, Futures, Options) and Reference Data (Issuers, Corporate Actions, Ratings, Classifications).

 - Familiarity with major index providers (e.g., MSCI, S&P, Bloomberg, FTSE) and how benchmark data is structured (constituents, weights, returns).

 - Advanced Excel proficiency (VLOOKUP, Pivot Tables) is required. Proficiency in SQL for data querying and analysis is highly preferred.

Preferred Qualifications

 - Familiarity with accounting and valuation of various asset classes including structured products and derivatives

 - Experience with Accounting and Trading Systems; APX, CRD, Bloomberg

 - Experience with major EDM (Enterprise Data Management) platforms (e.g., GoldenSource, IHS Markit/S&P EDM, SimCorp).

skills:

Trading Systems,large datasets,business logic,Crystal Reports,Data Analysis,Data Governance,Master data,data management,data transformation,Data Operations,data querying,Document data,Enterprise Data Management,VLOOKUP,Advanced Excel proficiency,Pivot Tables,PowerApps,Python,reference data,SQL,Proficiency in SQL,detail-oriented,highly motivated,work independently,UAT,accounting,asset classes,reconciliation process,benchmark data,business knowledge,Business Support,calculations,Composite,Corporate Actions,Economics,EDM,Derivatives,knowledge of financial products,financial instruments,Equities,Fund Performance,Global Investment,Hedge Fund,Investment Operations,financial,Finance,maintenance,Testing & Validation,root-cause analysis,Security,Shareholder,exception handling,pricing,structured products,technical implementation,operational workflows

## Description

Analyze large datasets of security and benchmark data (Equities, Fixed Income, Derivatives, Indices) to identify gaps, duplicates, and inconsistencies prior to migration.

 - Perform root-cause analysis on bad data and execute manual or bulk cleanup procedures.

 - Map data attributes between the legacy source system and the target platform, ensuring accurate translation of business logic.

 - Testing & Validation:

 - Lead the reconciliation process between the old and new platforms to ensure data parity.

 - Design and execute detailed test cases for security setup, pricing feeds, and benchmark composition.

 - Identify, log, and track data defects; work closely with the technical implementation team to resolve migration errors.

 - Business Support & Documentation:

 - Validate that the new platform meets the consumption needs of downstream systems and consumers.

 - Develop and document new processes and operational workflows.

 - Document data dictionaries, exception handling procedures, and operational controls.

 - Act as a subject matter expert (SME) for business users during the transition period.