Data Analyst

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Fraud and Risk Analyst II on a 6+ month contract in Mountain View, CA, paying $80/hr. Candidates require 3–5 years of data analytics experience, advanced SQL and Python skills, and a background in Financial Services or FinTech.
🌎 - Country
United States
💱 - Currency
$ USD
💰 - Day rate
Unknown
Unknown
640
🗓️ - Date discovered
May 2, 2025
🕒 - Project duration
More than 6 months
🏝️ - Location type
Hybrid
📄 - Contract type
W2 Contractor
🔒 - Security clearance
Unknown
📍 - Location detailed
Mountain View, CA
🧠 - Skills detailed
#AI (Artificial Intelligence) #Data Science #BI (Business Intelligence) #Databricks #Datasets #Data Quality #ML (Machine Learning) #Matplotlib #Python #SQL (Structured Query Language) #Tableau #Pandas #Automation #Data Analysis #Deployment #Model Deployment
Role description
Job Title: Fraud and Risk Analyst II Type: Contract (6+ Months) Location: Mountain View, CA (Hybrid – Tues–Thurs onsite) Pay Rate: $80/hr W2 Work Authorization: USC/GC Holders Only Job Overview We are seeking a Fraud and Risk Analyst II to join a dynamic FinTech team focused on building innovative AI and machine learning solutions that enhance fraud prevention, risk detection, and data quality. This role offers the opportunity to work with large datasets and deliver business-critical tools across analytics and engineering teams. Candidates should be based in or able to commute to Mountain View, CA for hybrid work (Tuesday through Thursday onsite). Key Responsibilities • Collaborate with analytics, engineering, and business stakeholders to address fraud risk. • Develop and deploy automation tools and analytical models for risk mitigation. • Build and maintain dashboards and data tracking mechanisms using Databricks and BI tools. • Drive data quality improvements by developing integrity and validation tools. • Rapidly prototype ML solutions and iterate based on results. • Document processes and present findings across technical and non-technical audiences. • Contribute to a culture of collaboration, accountability, and clear communication. Required Skills & Experience • 3–5 years in data analytics, data science, or operations research • Advanced proficiency in SQL and Python (pandas, matplotlib, scikit-learn) • Experience with Databricks and BI platforms (e.g., Quicksight, Tableau) • Strong communication skills and the ability to convey data insights in a business context • Background in Financial Services or FinTech preferred • Experience with machine learning techniques and rapid prototyping • Familiarity with Generative AI and ML model deployment • Bachelor’s degree in a quantitative or analytical discipline