

Data Analyst
β - Featured Role | Apply direct with Data Freelance Hub
π - Country
United States
π± - Currency
$ USD
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π° - Day rate
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ποΈ - Date discovered
September 16, 2025
π - Project duration
Unknown
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ποΈ - Location type
Unknown
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π - Contract type
W2 Contractor
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π - Security clearance
Unknown
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π - Location detailed
San Jose, CA
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π§ - Skills detailed
#Python #Mathematics #Scala #Statistics #SQL (Structured Query Language) #Data Analysis #ML (Machine Learning)
Role description
Only w2 candidates
Day to Day Responsibilities of this Position and Description of Project:
Key Responsibilities
β’ Develop significant insights that improve risk controls based on large incidents, near misses, product and portfolio analysis.
β’ Help develop risk frameworks to manage fraud risk, products and portfolio threats, decode policies, fraud prevention and more
β’ Monitor the performance of risk strategies and proactively seek out opportunities for improvement in policy, operations and outputs
β’ Partner with risk horizontal teams to deliver scalable global risk management policies through the buyer lifecycle.
β’ Establish relationships with partners in the regional businesses, product owners, engineering, incident management and risk operations organizations to set shared goals, influence the prioritization and facilitate the implementation of important risk strategies.
Requirements:
β’ 2-3 years of Risk or data experience - REQUIRED.
β’ Excellent and Hands-on SQL/Python skills
β’ Bachelors/Masterβs degree on major of Statistics, Engineering, Operations Research, mathematics, risk management, finance or related fields.
β’ Experience building dashboards and reporting that leads to user self-discovery
β’ Automate processes and reports to reduce manual intervention
β’ Communicate ideas succinctly and accurately; tailor your communication to a broad range of audiences; active listening and good presentation skills.
β’ Experience with machine learning frameworks and models is a plus.
Only w2 candidates
Day to Day Responsibilities of this Position and Description of Project:
Key Responsibilities
β’ Develop significant insights that improve risk controls based on large incidents, near misses, product and portfolio analysis.
β’ Help develop risk frameworks to manage fraud risk, products and portfolio threats, decode policies, fraud prevention and more
β’ Monitor the performance of risk strategies and proactively seek out opportunities for improvement in policy, operations and outputs
β’ Partner with risk horizontal teams to deliver scalable global risk management policies through the buyer lifecycle.
β’ Establish relationships with partners in the regional businesses, product owners, engineering, incident management and risk operations organizations to set shared goals, influence the prioritization and facilitate the implementation of important risk strategies.
Requirements:
β’ 2-3 years of Risk or data experience - REQUIRED.
β’ Excellent and Hands-on SQL/Python skills
β’ Bachelors/Masterβs degree on major of Statistics, Engineering, Operations Research, mathematics, risk management, finance or related fields.
β’ Experience building dashboards and reporting that leads to user self-discovery
β’ Automate processes and reports to reduce manual intervention
β’ Communicate ideas succinctly and accurately; tailor your communication to a broad range of audiences; active listening and good presentation skills.
β’ Experience with machine learning frameworks and models is a plus.