Asset Management / Operations BA

Location: Los Angeles, Ca or Orange County, CA 2-3 days a week onsite Length: 9 months Start: ASAP interview: VideoRoles: Gather source and target data requirements, identify and analyze datasets for data product suitability Conduct detailed data analysis on large data sets, generating insights on data gaps, trends, and areas for improvement Develop points of view (POVs) through data analysis to support product feature decisions Assist Data Product Managers in defining and prioritizing features Create and maintain source-to-target mapping documents and product-related documentation Develop and execute test scripts for Functional Testing and User Acceptance Testing (UAT) for data products Document data validation controls and collaborate with the engineering team to guide implementation Prepare data product release notes for operational readiness Participate in Program Increment (PI) planning, daily stand-up, sprint demo, and sprint retrospective meetings, fostering transparency, feedback, and continuous improvement Top 3 skills Strong in advanced data analytics using Python and SQLExperienced in functional and non-functional data requirements, such as mapping, flows, data dictionary, glossary, lineage, operational metadata, etc..Strong background and experience in capital markets/investment management domain

Required: 6-8 years of experience in the Financial Services industry, with mandatory asset management experience. Investment operations and data management experience preferred. Asset Management and Investment Operations experience Must have experience in an agile delivery model, well-versed in Scrum or Kanban planning and execution Must have experience in detailed data analysis using tools, such as SQL, and Python Ability to collaborate with Business and Technical teams to support Data Product outcomes Experienced in the data quality analysis and certification process for Data Products