Healthcare Analytics Specialist

Healthcare Analytics Specialist – Lenexa, KS

Monday to Friday, 8:00 AM to 5:00 PM

Pay range: $64,800+ per year. Salary offers are based on a wide range of factors including relevant skills, training, experience, education, and, where applicable, certifications obtained. Market and organizational factors are also considered. Successful candidates may be eligible to receive an annual performance bonus compensation.

We offer best‑in‑class benefits and programs to support employees and their families in living healthy, happy lives. Depending on whether it is a part‑time or full‑time position, some of the benefits offered may include:

• Day 1 Medical, supplemental health, dental & vision for FT employees who work 30+ hours
• Best-in-class well‑being programs
• Annual, no‑cost health assessment program Blueprint for Wellness®
• healthy
  
  MINDS mental health program
• Vacation and Health/Flex Time
• 6 Holidays plus 1 "MyDay" off
• Fin Fit financial coaching and services
• 401(k) pre‑tax and/or Roth IRA with company match up to 5% after 12 months of service
• Employee stock purchase plan
• Life and disability insurance, plus buy‑up option
• Flexible Spending Accounts
• Annual incentive plans
• Matching gifts program
• Education assistance through MyQuest for Education
• Career advancement opportunities
• and so much more!

The Healthcare Analytics Specialist is responsible for analyzing employee health screening data to uncover actionable insights that demonstrate the value of wellness and preventive health programs. This role bridges analytics, client strategy, and business development — supporting the sales team by transforming data into compelling narratives that quantify health and economic impact.

• Data Management and Analysis: Collect, clean, and standardize employee health screening data across multiple employer programs; develop analytical cohorts; calculate health risk prevalence, progression, and improvement metrics; maintain a repository of benchmark data for sales and marketing teams.
• Insight Generation and ROI Modeling: Translate health screening outcomes into economic and productivity insights; build and maintain ROI models estimating cost avoidance, productivity gains, and program effectiveness; design dashboards or visualizations; support continuous refinement of cohort‑level benchmarks and predictive models.
• Business Development Enablement: Partner with sales and marketing teams to develop client‑specific presentations, dashboards, and ROI reports; create data‑driven narratives showing the value of comprehensive health screening programs; support pre‑sales discussions by preparing client health summaries and opportunity analyses.
• Strategic and Cross‑Functional
  
  Collaboration:
  
  Contribute to the design and implementation of department initiatives; collaborate with operations, product, and marketing teams; support or drive pilot projects.

Required Work Experience

• 3‑5 years of experience in healthcare analytics, wellness program analytics, public health data analysis, or population health reporting.
• Proven experience analyzing and visualizing screening, biomarker, or health outcomes data.
• Demonstrated ability to translate data findings into actionable insights for non‑technical audiences.

Preferred Work Experience

• Exposure to ROI modeling or cost‑benefit analysis within healthcare or benefits domains.
• Background collaborating with sales, marketing, or client success teams to enable data‑driven business development.
• Experience with large‑scale datasets from laboratory, EHR, or claims data.

Required Knowledge

• Understanding of population health concepts, risk stratification, and preventive screening metrics.
• Knowledge of data privacy and HIPAA compliance when handling health information.

Required Skills

• Analytical tools: proficiency in Excel, Power BI/Tableau, and Alteryx. Proficiency in at least one analytical language (SQL, Python, or R) will be a plus.
• Quantitative analysis: strong statistical reasoning and ability to derive meaningful insights from complex datasets.
• Data visualization: ability to design visuals and dashboards storytelling at different levels of the organization.
• Communication: skilled at…