Senior Asset Management Data & Operations BA

CyberSearch; Jacksonville (FL); Hybrid; USD 100,000 - 140,000; Full time

Job summary

CyberSearch is seeking a seasoned Asset Management / Investment Operations Business Analyst to gather data requirements, analyze large datasets, and support product feature decisions within an agile environment. The role involves working with data product managers and engineering to ensure data quality and operational readiness.

The ideal candidate has 6-8 years in financial services with asset management experience, strong Python and SQL skills, and a solid background in capital markets.

Qualifications

• Six to eight years in Financial Services with asset management experience.
• Assets management and investment operations experience required.
• Experience in agile delivery—Scrum or Kanban.
• Proficient in detailed data analysis using SQL and Python.
• Able to collaborate with business and technical teams to drive data product outcomes.
• Experience with data quality analysis and certification processes for data products.

Responsibilities

• Gather source and target data requirements; identify data sets for data product suitability.
• Perform detailed data analysis on large datasets to identify gaps, trends, and improvement areas.
• Develop POVs from data analyses to inform product feature decisions.
• Assist Data Product Managers in defining and prioritizing features.
• Create and maintain source-to-target mapping documents and product docs.
• Develop and execute test scripts for Functional Testing and UAT of data products.
• Document data validation controls; guide implementation with engineering team.
• Prepare data product release notes for operational readiness.
• Participate in PI planning, daily stand-ups, sprint demos and retrospectives to foster transparency and continuous improvement.

Skills

Python

SQL

Data analysis and mapping

Job description

CyberSearch is seeking a seasoned Asset Management / Investment Operations Business Analyst to gather data requirements, analyze large datasets, and support product feature decisions within an agile environment. The role involves working with data product managers and engineering to ensure data quality and operational readiness.

The ideal candidate has 6-8 years in financial services with asset management experience, strong Python and SQL skills, and a solid background in capital markets.