September 22, 2024
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New York, NY, United States
September 22, 2024
Apply NowJob description
What are we looking for in our Data Analyst - Fraud & Risk Analyst?
Our client, a global leading Fintech company, is seeking a Data Analyst
Apply today for consideration!
Title: Data Analyst
Location: New York City, NY(Hybrid)
Pay rate: $80.00 - 90.00/hour DOE
Duration: 12 Months (possibility of extension)
Duties:
#CB
Rate/Salary: $80-90/hour
Our client, a global leading Fintech company, is seeking a Data Analyst
Apply today for consideration!
Title: Data Analyst
Location: New York City, NY(Hybrid)
Pay rate: $80.00 - 90.00/hour DOE
Duration: 12 Months (possibility of extension)
Duties:
- 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 and an 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.
- 4+ years of analyzing complex datasets and providing business-oriented recommendations. 4+ years of building dashboards and data visualizations, with proficiency in Tableau.
- 4+ years of experience in e-commerce, payments, or financial services industries.
- Extensive SQL experience, particularly in your current role.
- Ability to work independently and make decisions with minimal guidance within specified timelines. Strong communication skills with the ability to express thoughts and ideas clearly and concisely.
- Preferred Qualifications: Background in fraud prevention 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.
- Experience building ETL pipelines. Experience with data visualization principles and tools.
#CB
Rate/Salary: $80-90/hour
