Fannie Mae
People Analytics Senior Data Visualization Analyst
Fannie Mae, Washington, District of Columbia, us, 20022
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People Analytics Senior Data Visualization Analyst
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Fannie Mae 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. Job Description 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. THE IMPACT YOU WILL MAKE 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. Minimum Required Experiences THE EXPERIENCE YOU BRING TO THE TEAM 2 years related 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. Desired Experiences Bachelor’s degree or equivalent. Experience with extract, transform, and load data output. Familiarity with AWS (S3, Redshift, RDS). Familiarity with Alteryx. Experience solving complex data related problems and developing sustainable solutions. Demonstrated ability to lead and execute programs or projects. Experience working with HR people data (e.g., headcount, attrition, time to hire, learner engagement). Strong relationship management skills. Commitment to continuous improvement and learning. Fannie Mae is an equal opportunity employer and considers qualified applicants for employment without regard to race, color, religion, sex, national origin, disability, age, sexual orientation, gender identity/gender expression, marital or parental status, or any other protected factor. Fannie Mae is committed to providing reasonable accommodations to qualified individuals with disabilities who are employees or applicants for employment, unless to do so would cause undue hardship to the company. Target Pay Range: $94,000 - $122,000 a year
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People Analytics Senior Data Visualization Analyst
role at
Fannie Mae 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. Job Description 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. THE IMPACT YOU WILL MAKE 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. Minimum Required Experiences THE EXPERIENCE YOU BRING TO THE TEAM 2 years related 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. Desired Experiences Bachelor’s degree or equivalent. Experience with extract, transform, and load data output. Familiarity with AWS (S3, Redshift, RDS). Familiarity with Alteryx. Experience solving complex data related problems and developing sustainable solutions. Demonstrated ability to lead and execute programs or projects. Experience working with HR people data (e.g., headcount, attrition, time to hire, learner engagement). Strong relationship management skills. Commitment to continuous improvement and learning. Fannie Mae is an equal opportunity employer and considers qualified applicants for employment without regard to race, color, religion, sex, national origin, disability, age, sexual orientation, gender identity/gender expression, marital or parental status, or any other protected factor. Fannie Mae is committed to providing reasonable accommodations to qualified individuals with disabilities who are employees or applicants for employment, unless to do so would cause undue hardship to the company. Target Pay Range: $94,000 - $122,000 a year
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