Analytics Senior Data Visualization Analyst

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 home ownership 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 evidence based decision making.

The People Analytics Senior Data Visualization Analyst 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:

• 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.

• 2 years related experience in data visualization and data architecture.
• Skilled in Tableau.
• Skilled in SQL (Redshift, Postgre
  
  SQL, 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.

• 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.

People Analytics - Business Intelligence - Senior Associate

Target Pay Range: $94,000 - $122,000 a year

Active Directory (AD), Active Directory (AD), Amazon Web Services (AWS), Artificial Intelligence (AI), Atlassian JIRA, Authentication Management, Backup and Recovery (Software), Business Insight Skills, Business Process Management Skills, Calendar and Scheduling Tools, Cleaning and Transforming Data, Cloud Technology, Collaborating Cross‑Functionally, Communicating in Technical Writing, Communicating Technical Information, Communication, Configuration Management (CM), Conflict Resolution, Coordination, Customer and Market Insights, Customer Relationship Management (CRM), Cyber Ark, Cybersecurity Analysis, Data Analysis, Data Analysis Interpretation {+ 60 more}

Education:

Bachelor's Level Degree (Required)

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For most roles, employees are expected to work onsite on a regular basis at their designated office location. In‑office work cadence is determined by your manager. Proximity within a reasonable commute to your designated office location is preferred unless the job is noted as open to remote.

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…