Motion Recruitment Partners LLC
Overview
This global financial technology leader has an immediate long-term contract opportunity in Mountain View, CA for a Fraud Data Analyst. This position requires working onsite Monday-Friday. Contract Duration: 12+ Months Responsibilities
Transform data into actionable and relevant insights for your stakeholders. Formulate well-defined requirements for data engineering teams, ensuring that stakeholders have access to lucid, accurate, and consistent datasets Build and maintain dashboards to assess the efficacy of our controls in mitigating fraud, while ensuring minimal impact on our customers. Equip fraud policy teams with a comprehensive understanding of the ecosystem, enabling them to recognize opportunities for improvement and optimization of their solutions Perform in-depth exploration and analysis of both internal and external data sources Identify developing patterns of fraudulent activities within the company's extensive range of products Communicate regularly with leadership, peers, and stakeholders, highlighting achievable goals and measurable business outcomes Work closely with local and global teams in policy, product, data engineering, data science, and R&D. Qualifications
Required Qualifications +4 years of experience analyzing complex datasets and providing business recommendations. +4 years of experience working in an e-commerce, payments, or financial services company. +4 years of experience building dashboards and data visualization. Extensive SQL experience, specifically in your current role. Proven ability to work independently and make decisions with minimal direction within assigned timelines. Able to express thoughts and ideas in fluent and concise manner. Preferred Qualifications Background in fraud prevention, with emphasis on tax fraud. Experience building ETL pipelines. Experience with Tableau/QlikView or and other data visualization software. Experience with Github / Splunk / Python Bachelor’s degree, or foreign equivalent, in computer science, information systems management, engineering (any field), or closely related quantitative discipline. Benefits
Medical Insurance & Health Savings Account (HSA) 401(k) Paid Sick Time Leave Pre-tax Commuter Benefit Applicants must be currently authorized to work in the U.S. on a full-time basis now and in the future.
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This global financial technology leader has an immediate long-term contract opportunity in Mountain View, CA for a Fraud Data Analyst. This position requires working onsite Monday-Friday. Contract Duration: 12+ Months Responsibilities
Transform data into actionable and relevant insights for your stakeholders. Formulate well-defined requirements for data engineering teams, ensuring that stakeholders have access to lucid, accurate, and consistent datasets Build and maintain dashboards to assess the efficacy of our controls in mitigating fraud, while ensuring minimal impact on our customers. Equip fraud policy teams with a comprehensive understanding of the ecosystem, enabling them to recognize opportunities for improvement and optimization of their solutions Perform in-depth exploration and analysis of both internal and external data sources Identify developing patterns of fraudulent activities within the company's extensive range of products Communicate regularly with leadership, peers, and stakeholders, highlighting achievable goals and measurable business outcomes Work closely with local and global teams in policy, product, data engineering, data science, and R&D. Qualifications
Required Qualifications +4 years of experience analyzing complex datasets and providing business recommendations. +4 years of experience working in an e-commerce, payments, or financial services company. +4 years of experience building dashboards and data visualization. Extensive SQL experience, specifically in your current role. Proven ability to work independently and make decisions with minimal direction within assigned timelines. Able to express thoughts and ideas in fluent and concise manner. Preferred Qualifications Background in fraud prevention, with emphasis on tax fraud. Experience building ETL pipelines. Experience with Tableau/QlikView or and other data visualization software. Experience with Github / Splunk / Python Bachelor’s degree, or foreign equivalent, in computer science, information systems management, engineering (any field), or closely related quantitative discipline. Benefits
Medical Insurance & Health Savings Account (HSA) 401(k) Paid Sick Time Leave Pre-tax Commuter Benefit Applicants must be currently authorized to work in the U.S. on a full-time basis now and in the future.
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