Overview
On Site
Depends on Experience
Contract - W2
Contract - 6 Month(s)
Skills
Data analyst
Hadoop
Pyspark
Tableau
SQL
Job Details
Role: Data Analyst Location: San Jose, CA Duration: 7+ months
JOB DESCRIPTION:
Collaborate with cross-functional teams such as Fraud, Legal, Operations, Product
and Business Development to design and implement fraud monitoring solutions
and fraud prevention strategies.
Analyze large datasets to identify trends, patterns, and anomalies related to gift
card fraud.
Develop and maintain dashboards and reports that monitors suspicious activities
trends.
Create and track fraud KPIs to measure the effectiveness of fraud prevention
strategies.
Proactively identify emerging gift card fraud schemes and develop strategies to
mitigate them.
Collaborate with other fraud analysts, data scientists, and engineers to develop
fraud prevention tools, systems and products.
Primary Skill Required for the Role Pyspark
Proven experience (5+ years) in an analytics/data science or equivalent role, ideally with
fraud / cybersecurity / financial services or retail industry experience
visualization skills to communicate complex quantitative analysis in a clear, detailed, and
concise manner
JOB DESCRIPTION:
Collaborate with cross-functional teams such as Fraud, Legal, Operations, Product
and Business Development to design and implement fraud monitoring solutions
and fraud prevention strategies.
Analyze large datasets to identify trends, patterns, and anomalies related to gift
card fraud.
Develop and maintain dashboards and reports that monitors suspicious activities
trends.
Create and track fraud KPIs to measure the effectiveness of fraud prevention
strategies.
Proactively identify emerging gift card fraud schemes and develop strategies to
mitigate them.
Collaborate with other fraud analysts, data scientists, and engineers to develop
fraud prevention tools, systems and products.
Primary Skill Required for the Role Pyspark
Proven experience (5+ years) in an analytics/data science or equivalent role, ideally with
fraud / cybersecurity / financial services or retail industry experience
- Ability to conceive and execute the design of end to end scripted analytics solutions using
- Proven proficiency with Python for data manipulation, visualization and process
- Love for applied empirical analytics and data mining
- Experience in data visualization tools such as Tableau for full-stack data analysis, insight
- Collaboration, communication and presentation skills, with the ability to adapt and
visualization skills to communicate complex quantitative analysis in a clear, detailed, and
concise manner
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.