Benefits Specialist – Data and Insights
| Company | |
|---|---|
| Location | Seattle, WA, USA, Washington, DC, USA, San Francisco, CA, USA, Los Angeles, CA, USA, Ann Arbor, MI, USA, Chicago, IL, USA, New York, NY, USA, Mountain View, CA, USA, Boulder, CO, USA, Atlanta, GA, USA |
| Salary | $108000 – $155000 |
| Type | Full-Time |
| Degrees | Bachelor’s |
| Experience Level | Mid Level |
Requirements
- Bachelor’s degree or equivalent practical experience.
- 3 years of experience working in a Human Resources capacity.
Responsibilities
- Conduct analysis of benefits data, including health programs, leaves, accommodations, mental health and benchmarking, to identify trends, measure key indicators (e.g., absenteeism, presenteeism, productivity), and distill actionable insights.
- Apply advanced techniques (e.g., writing SQL scripts, joining information from multiple source tables, defining metrics) to large datasets to support analysis. Design, build, and maintain a suite of comprehensive benefits dashboards, including underlying business logic and workflows.
- Communicate findings as clear, compelling insights and recommendations to stakeholders and executive leaders. Guide decisions on the short and long-term impacts of benefits programs.
- Manage claims-based and survey-based analytics projects to identify opportunities to improve employee health and well-being, and address ad-hoc analytical requests within the global benefits function. Conduct statistical analysis of survey data within the R environment.
Preferred Qualifications
- Experience in SQL and managing and executing SQL-based projects, including writing SQL scripts and creating plx dashboards.
- Ability to evaluate and synthesize data into accurate results, actionable interventions, and recommendations that drive broader program strategy (e.g. plan design, development of Key Performance Indicators (KPI’s), clinical measurement).
- Ability to solve problems and manage competing priorities.
- Ability to understand new datasets and manipulate data structures.
- Passion for transforming data sets into a compelling story with data visualizations and reports.