Risk Data Analyst at Softworld Inc

Job Title: Risk Data Analyst

Location: Sunnyvale CA 94085

Onsite Requirements:

• Strong SQL proficiency
• Experience applying statistics and data science to tackle intricate business challenges.
• Proficiency in AWS Quick sight and Tableau.

Job Description:

• We are looking for a talented, enthusiastic, and dedicated person to join the Risk Portfolio & Program Management team.
• The incumbent will be responsible for identifying and driving key initiatives to monitor credit and fraud risk of the company.
• You will leverage your python and SQL skills to pull and manipulate data, analyze clusters and relationships.
  

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 or R for more complex data analysis
• Experience with AWS

Expected Outcomes in 6 to 12 months:

• Understand fraud and credit 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 and Credit 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.