Senior Data Analyst

Key Skills

Apache Hadoop, C Programming, C++, Data science techniques, Java Programming, Machine learning techniques, MapReduce, Python Programming, PyTorch, R Programming, Scala Programming, SQL, TensorFlow

Job Description

The Credit Services Risk Management team is a large and complex critical function for company success. We are staffed with highly-skilled and motivated individuals with a large emphasis on analytical abilities & problem solving skills. The Sr. Data Analyst will provide critical analysis to enhance credit risk functions such as underwriting and/or collections. This person will be the central point of contact to drive business decisions by leveraging deep analytics.

MAJOR DUTIES AND RESPONSIBILITIES

• Provide recommendations for new or enhanced strategies to reduce losses and to retain customers
• Partner with others to build predictive models and/or to implement solutions in production processes
• Ensures that programming tasks are completed before the deadline and are fully tested with minimal defects
• Gather business requirements. This individual will need to work with leadership and business partners to identify data and reporting needs for analysis
• Develop/select methodologies to derive answers to business problems
• Analyze data to provide meaningful insights. This individual must have strong data manipulation and interpretation skills, and be able to quantitatively assess business problems
• Identify data sources and data attributes across and outside the company that will support the business needs
• Conduct analyses that drive meaningful change on key objectives established by senior Charter leadership
• Synthesize actionable insights by joining together large data sets from across the company, and applying appropriate analytical techniques
• Communicate findings clearly and concisely through narrative-driven presentations and effective data visualizations to Charter executives and decision makers
• Develop analytic plans and testable hypotheses for key business questions raised by partners to ensure that all important questions are addressed fully, appropriately, and accurately
• Perform other duties as may be requested by manager

REQUIRED QUALIFICATIONS

• Strong expertise in SQL
• Business and quantitative analysis experience using packages such as SAS/Python/R
• Ability to communicate orally and in writing in a clear and straightforward manner
• Ability to plan, prioritize and organize effectively
• Ability to adapt to change
• Detail oriented, self-motivated, proactive and results driven
• Highly energetic; ability to partner across business lines; a go-getter who seeks out information and does not wait for others to reach out

PREFERRED QUALIFICATIONS

• Experience in scripting languages such as Java/Ruby/Perl.
• Experience in using large databases; conducting complex analysis languages as noted above
• Solving business problems through deep analytics
• Ability to see patterns in the data where others are unable to;
• Desire to use large databases and complex analysis to solve problems
• Ability to explain complex analysis results in an easy-to-understand language
• Advance skills in Excel, PowerPoint and Access
• Excellent quantitative analysis skills
• Ability to create conceptual frameworks enabling the analysis of varied business problems

Education

B.S. in quantitative sciences, including statistics, computer science, engineering, Business with focus on analytics. M.S. in a similar discipline preferred.

Related Work Experience

• 5+ years experience solving business problems through analytics (with a Bachelor’s Degree) OR,
• 2+ years experience solving business problems through analytics (with a Masters Degree)
• Industry experience in Financial services, insurance or actuarial services or medical research perferred but not required

WORKING CONDITIONS

Office Environment