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    Senior Data Analytics Specialist - Frisco, United States - RIT Solutions, Inc.

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    Description
    Job Description - Job Title : Senior Data Analytics Specialist - Financial Services

    Location:
    : Los Angeles, Ca or Orange County, CA 2-3 days a week onsite

    Duration: 6+ Months


    Visa:
    USC ,


    GC

    MOI:
    Skype


    Client:

    KPMG

    Please share visa copy and DL along with the submission
    Financial Background
    Good Communication
    LinkedIn
    Local Candidate
    Native citizen Preferred


    Roles:
    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
    ssist 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 improvemen
    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

    Required:

    6-8 years of experience in the Financial Services industry, with mandatory asset management experience. Investment operations and data management experience preferred.
    sset 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
    bility to collaborate with Business and Technical teams to support Data Product outcomes
    Experienced in the data quality analysis and certification process for Data Products


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