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    Risk Data Analyst - Mountain View, United States - Softworld, a Kelly Company

    Softworld, a Kelly Company
    Softworld, a Kelly Company Mountain View, United States

    3 weeks ago

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    Description

    Job Title: Risk Data Analyst

    Location: Sunnyvale CA 94085

    Onsite Requirements:

    • Strong SQL proficiency
    • Experience applying statistics and data science to tackle intricate business challenges.
    • Proficiency in AWS Quick sight and Tableau.

    Job Description:

    • We are looking for a talented, enthusiastic, and dedicated person to join the Risk Portfolio & Program Management team.
    • The incumbent will be responsible for identifying and driving key initiatives to monitor credit and fraud risk of the company.
    • You will leverage your python and SQL skills to pull and manipulate data, analyze clusters and relationships.

    Professional Experience/Background to be successful in this role:

    • Bachelor's degree in business analytics, data science, statistics, mathematics, engineering, other relevant degree, or equivalent practical experience
    • Experience using statistics and data science to solve complex business problems.
    • Proficiency in using SQL and Excel for data analysis purposes.
    • Proficiency in data visualization and building dashboards using Tableau.
    • Experience working with large data sets.
    • Clear communication skills, being able to translate complex results to technical and non-technical business partners and executives.

    Preferred Skills:

    • Relevant industry experience in ecommerce, online payments, banking, risk management
    • Demonstrated experience developing key performance indicators and how to measure success for either key initiatives or a team portfolio.
    • Proficiency in Python or R for more complex data analysis
    • Experience with AWS

    Expected Outcomes in 6 to 12 months:

    • Understand fraud and credit risk and develop approaches to mitigate loss and responsibly grow revenue. Monitor performance of strategies and portfolios
    • Document and communicate results and escalate issues as necessary. Identify gaps/opportunities and drive actions.
    • Evaluate third party vendor data quality and identify new opportunities leveraging various data elements to improve customer experience without incremental risk exposure.
    • Craft dashboards to track Fraud and Credit related initiatives such as KPIs around funnel conversion and strategy/portfolio performance; summarize and present findings to senior management.
    • Work closely with Data and Product teams to ensure data quality are accurately and as design.
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