Risk Data Analyst

3 weeks ago


Mountain View, United States Softworld, a Kelly Company Full time

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.

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