Accounting Systems - Product Analysis - Associate-100020-TEMPLATE

Fannie Mae is a company dedicated to making affordable housing a reality and impacting the lives of Americans. The Accounting Systems - Product Analysis - Associate role involves supporting the product lifecycle and assisting with product needs and project coordination.

What you'll do:

• Gather information about new or existing products
• Assist in the assessment of current state of product to discover additional needs
• Carry out assigned tasks related to the design, development, testing, and evaluation of products
• Assist the team and coordinate activities that allow the support of multiple internal clients
• Support the team on projects regarding product strategy and customer outreach

What they're looking for:

• 0-2 years
• Bachelor degree or equivalent
• Determining causes of operating errors and taking corrective action
• The group of skills related to Programming including coding, debugging, and using relevant programming languages
• Skilled in documentation and database reporting for the purposes of analysis, data discovery, and decision-making with the use of relevant software such as Crystal Reports, Excel, or SSRS
• The group of skills related to Operational Excellence including improving and overseeing operations
• Working with people with different functional expertise respectfully and cooperatively to work toward a common goal
• The group of skills related to Risk Assessment and Management including evaluating and designing controls, conducting impact assessments, identifying control gaps, remediating risk, etc
• Skilled in creating and managing databases with the use of relevant software such as MySQL, Hadoop, or MongoDB
• The group of skills related to Influencing including negotiating, persuading others, facilitating meetings, and resolving conflict
• Experience helping an organization to plan and manage change in effort to meet strategic objectives
• Experience in the process of analyzing data to identify trends or relationships to inform conclusions about the data