AdvantEdge
AdvantEdge is hiring: Fraud Investigation / Fraud Detection Data Analyst in San
AdvantEdge, San Jose, CA, United States
Job Title: Fraud Investigation / Fraud Detection Data Analyst
Location: San Jose CA, 95002
Duration: 6-12 Months
Job Type: Contract
Work Type: Hybrid
Pay Rate: $47 - 53/hr.
JOB DESCRIPTION:
- We are looking for a talented, enthusiastic and dedicated person to join Fraud Risk Strategy team.
- The incumbent will be responsible for identifying and driving key initiatives to manage fraud risk of the company.
- You will leverage your python and SQL skills to pull and manipulate data, analyze clusters and relationship
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 for more complex data analysis
- Experience with AWS
- Understand fraud 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 risk 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