Role: Data Analyst (Python & SQL) Senior
Location: Must onsite in Los Angeles, CA or Orange County, CA 2-3 days a week
Python - should have the practical knowledge, working experience ( not just theoretical knowledge).
SQL should be strong in advanced SQLs such as JOINs, Rank and complex SQL scenarios.
Communication skills Client facing role Need 8/10
Look for the Candidates who worked with big consulting companies, like Deloitte/ KPMG. ( They mostly have the experience in the client facing roles, additional to the technical skills set ).
Top Skills:
Data Analytics
Investment Optional
Asset management Optional
SQL
Python
6-8 years of experience in the Financial Services industry, Asset management experience/Investment operations and data management experience preferred.
Top 3 skills
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
Job Description
Asset Management and Investment Operations experience is preferred Financial Industry experience is Required
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
Client Requirement:
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.
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