Business Intelligence / R Shiny Developer - Senior Associate

At Fannie Mae, the inspiring work we do helps make a home a possibility for millions of homeowners and renters. Every day offers compelling opportunities to impact the future of the housing industry while being part of a collaborative team thriving in an energizing environment. Here, you will grow your career and help create access to affordable housing finance.

Job Description

As a valued colleague on our Loan Quality Reporting and Analytics team, you will assess business stakeholder requests and collaborate with your team to determine solutions to solve business needs, use applications and BI tools to explore and understand data, and provide BI insights and solutions to improve Fannie Mae’s risk management capabilities, and generate process efficiencies.

THE IMPACT YOU WILL MAKE

The Business Intelligence - Senior Associate role will offer you the flexibility to make each day your own, while working alongside people who care so that you can deliver on the following responsibilities:

• Analyze data to drive business decision-making capabilities and manage credit and collateral risk.
• Draft automated business processes and mechanisms to generate meaningful reports, identify new risks or generate process efficiencies to help us deliver on Fannie Mae's vision and purpose.
• Contribute to identifying, researching, and resolving problems, including developing and implementing requirements for new features, enhancements, dashboards, potentially new algorithms/models.
• Contribute to designing, developing, implementing, and maintaining business intelligence (BI) applications and tools.
• Attend meetings to discuss and identify customer needs and strive to do what is right for our customers.

THE EXPERIENCE YOU BRING TO THE TEAM

Minimum Required Experiences

• 2 years related experience
• Excellent communication skills with experience gathering accurate information to explain concepts and answer critical questions.  Proven ability to translate between technical and business users and terms.
• Skilled in data exploration and data wrangling using SQL.
• Experience designing and developing BI applications, dashboards, and data-driven tools to support business decision-making using SQL, R / R Shiny, Tableau.
• Leads stakeholder engagement to translate business requirements into functional BI applications.
• Experience analyzing data to identify trends or relationships to inform conclusions about the data.
• Skilled in presenting information and/or ideas to an audience in a way that is engaging and easy to understand.
• Skilled in the graphical representation of information in the form of charts, diagrams, pictures, and dashboards with programs and tools such as Tableau, and R Markdown
• Experience gathering accurate information to explain concepts and answer critical questions.
• Expertise in using statistical methods, including developing and testing hypotheses, using experimental design, and running linear and logistic regressions.
• Skilled in documentation and database reporting for the purposes of analysis, data discovery, and decision-making using SQL and or Tableau
• Programming including coding, debugging, and using SQL and R programming languages
• Working with people with different functional expertise respectfully and cooperatively to work toward a common goal.
• Documenting BI data models, ETL processes, and reporting workflows, including using Bitbucket or Github for version control.
• Maintaining clear, accessible guides for dashboards, KPIs, and data sources.
• Ensuring documentation supports data governance and cross-team collaboration.

Desired Experiences

• Bachelor’s degree or equivalent
• Mortgage industry credit or collateral risk experience.
• Proven ability to translate business requirements into functional, scalable Shiny solutions.
• Skilled in building user-friendly interfaces that integrate dynamic visualizations, filters, and reactive elements.
• Ability to connect Shiny apps to various data sources and ensure performance optimization for large datasets.
• Familiarity with deploying Shiny applications in enterprise environments, including version control and documentation best practices.
• Experience with AWS S3, Redshift and Aurora DB solutions.

Qualifications

Tableau Desktop

Education:

Bachelor's Level Degree (Required)

The future is what you make it to be. Discover compelling opportunities at Fanniemae.com/careers.<