Fannie Mae is looking to solve business needs by providing BI insights and solutions through data analysis and visualization to support evidenced-based decision making.
Requirements
- 2 yearsrelated experience in data visualization and data architecture.
- Skilled in Tableau.
- Skilled in SQL (Redshift, PostgreSQL, T-SQL).
- Product consulting experience/relationship management.
- Demonstrated experience consulting on analytics products and building strong relationships with internal stakeholders to understand their needs and deliver effective data solutions.
- Experience with extract, transform, and load data output.
- Familiarity with AWS (S3, Redshift, RDS).
Responsibilities
- Build and maintain interactive dashboards in Tableau to visualize workforce trends and KPIs.
- Perform ETL processes and ensure HR data integrity across multiple sources.
- Write and optimize SQL queries for HR reporting and advanced workforce analytics.
- Partner with HR centers of excellence and business stakeholders to understand business data needs and deliver products that address those needs.
- Act as a trusted advisor, managing client relationships and providing consultative analytics support.
- Collaborate with cross-functional teams to enhance data architecture and reporting capabilities.
Other
- Playing an essential role in the U.S. economy, Fannie Mae is foundational to housing finance.
- Here, your expertise can help fuel purpose-driven innovation that expands access to homeownership and affordable rental housing across the country.
- Join Fannie Mae to grow your career and help people find a place to call home.
- As a valued colleague on our People Analytics team within our HR department, you will assess customer 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.
- In collaboration with the People Analytics teams, you will empower stakeholders with data products, analyses, and insights to support evidenced based decision making.
