HR Analytics-Survey and Data Science Lead
Location:
Washington , District of Columbia
Posted:
February 18, 2018
Reference:
52270

THE COMPANY

Are you interested in helping solve today's most critical housing challenges? In simplest terms, Fannie Mae serves the people who house America. We work at the heart of housing by providing reliable, affordable mortgage financing in all markets at all times, buying loans that banks and other lenders originate, so they can fund new loans. This gives more people the opportunity to buy, refinance, or rent homes and apartments. Creating these opportunities is what drives the people who work at Fannie Mae.

For more information about Fannie Mae, visit http://www.fanniemae.com/progress

JOB INFORMATION
The HR Analytics-Survey and Data Science Lead position is responsible for serving as a highly innovative agent of advanced analytics. This position will help shape and build a best in class survey and data science function. The position responsibilities include designing, executing, and providing analysis for surveys, experiments, and studies. In addition, this position may build predictive models to create actionable client insight using survey data. The position will also be responsible for supporting specific business stakeholders by collecting, analyzing, and providing insight on human capital data and metrics.

KEY JOB FUNCTIONS
  • Design, execute, and provide analysis for surveys, experiments, and studies.
  • Aggregate HR management information reports and provide other ad-hoc analytics as required.
  • Work proactively and independently with HR and business stakeholders to perform analysis of relevant workforce metrics, uncover and interpret trends in data, and produce substantiated recommendations.
  • Communicate analytical findings to non-technical audiences in a way that influences HR and business leadership on decision making.
  • Develop training and support materials to inform HR and business stakeholders.
  • Support HR Management in developing relevant HR metrics to ensure continuous alignment of the design of all HR programs with organizational objectives and track progress against the organization's and HR's strategies.
  • Create regular and ad-hoc reports, data mining, data consulting and other data analysis as needed.
  • Leverage expert analytics knowledge and experience with statistical programming to define, design, build and enhance predictive models and other statistical analyses to extract usable knowledge and generate data driven analytics.
#LI-VN1

Qualifications:
EDUCATION
  • Bachelor's Degree or equivalent. Masters preferred in one of the following fields (Math, Statistics, Computer Science, Engineering, Data Science, Operations Research, Industrial Organizational Psychology).

MINIMUM EXPERIENCE
  • 4 years of related experience developing and delivering surveys, experiments, studies and predictive models that drive business decisions and improve business outcomes

SPECIALIZED KNOWLEDGE & SKILLS

  • Experience in survey design, administration, and analysis required
  • Experience applying statistical concepts to analyze survey data required
  • Ability to present findings to multiple levels of the organization required
  • Advanced knowledge in analytical techniques (e.g., decision trees, regression, unstructured data analysis) preferred
  • Proficiency with R Studio preferred
  • Demonstrable partnership and influencing skills required
  • Experience with data visualization tools such as Tableau is preferred
  • Experience with Python to analyze survey unstructured data is preferred


EMPLOYMENT

As a condition of employment with Fannie Mae, any successful job applicant will be required to pass a pre-employment drug screen and to successfully complete a background investigation.

Fannie Mae is an Equal Opportunity Employer.

A little about us:
We’re leading the way to provide safe, affordable, and reliable credit, so people across the U.S. have opportunities to buy, refinance, or rent homes.

Know someone who would be interested in this job? Share it with your network.