200+ applicants
Apexon · 3 days ago
Data Analyst
Los Angeles County, CA
Full-time
Hybrid
Mid, Senior Level
6+ years exp
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Hiring Manager
Nishant Sanghvi
Insider Connection @Apexon
Responsibilities
Asset Management and Investment Operations experience
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.
Must have excellent client communication and presentation skills
Qualification
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Required
Data Analytics
Investment
Asset management - Mandatory
SQL
Python
6-8 years of experience in the Financial Services industry, with mandatory asset management experience
Asset Management and Investment Operations experience
Strong in advanced data analytics using Python and SQL
Experienced 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
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
Must have excellent client communication and presentation skills
A client background check will be conducted, and candidates will need to go through biometric/fingerprinting as part of the client onboarding process
The client will require all employees, including subcontractors, to report financial holdings and obtain trading approval. This is a mandatory prerequisite for onboarding, as the employee will be considered a covered person due to their access to production data
Preferred
Investment operations and data management experience
Company
Apexon
Apexon is a digital-first technology services firm, accelerating business transformation and delivering human-centric digital experiences.
5,001-10,000 employees
Funding
Current Stage
Late StageLeadership Team
Deven Samant
Vice President and Global Head of Digital Engineering
Leila Modarres
Chief Marketing Officer
Recent News
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