Healthcare Analytics Specialist
Quest Diagnostics, Lenexa, KS, United States
Job Description
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 annual performance bonus compensation. Benefits Information
We are proud to offer best-in-class benefits and programs to support employees and their families in living healthy, happy lives. Our pay and benefit plans have been designed to promote employee health in all respects – physical, financial, and developmental. 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® healthyMINDS mental health program Vacation and Health/Flex Time 6 Holidays plus 1 "MyDay" off FinFit 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. The specialist will develop cohort analyses, benchmark trends across customer segments, and contribute to building tools such as ROI modeling to help clients understand the benefits of investing in health screening and wellness initiatives. Responsibilities
Data Management and Analysis
Collect, clean, and standardize employee health screening data (biomarkers, participation, demographics) across multiple employer programs. Develop analytical cohorts (e.g. industry, company size, disease area) to identify patterns and risk trends. Calculate and report health risk prevalence, progression, and improvement metrics (e.g., % moving from high to moderate metabolic risk). Maintain a repository of benchmark data across client segments for use by sales and marketing teams. Insight Generation and ROI Modeling
Translate health screening outcomes into economic and productivity insights using evidence‑based references. Build and maintain ROI models estimating cost avoidance, productivity gains, and program effectiveness. Design dashboards or visualizations to clearly communicate trends to both technical and non‑technical stakeholders. Support continuous refinement of cohort‑level benchmarks and predictive models over time. 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 & Cross-Functional Collaboration
Contribute to the design and implementation of various department initiatives and tactics. Collaborate with cross‑functional teams (Operations, Product, Marketing) to enhance data storytelling and client deliverables. Support or drive pilot projects across cross‑functional teams. Qualifications
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. Physical And Mental Requirements
N/A Knowledge
Understanding of population health concepts, risk stratification, and preventive screening metrics. Knowledge of data privacy and HIPAA compliance when handling health information. 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 simplifying technical analyses into actionable business insights. Collaboration: Works effectively with sales, marketing, and product teams to align analytics to business goals. Project Management: Organized and self‑directed, capable of handling multiple deliverables simultaneously. Required
Bachelor’s degree in Public Health, Statistics, Data Analytics, Epidemiology, Health Informatics, or a related field. Hybrid Travel up to 25% Preferred
Master’s degree (MPH, MS in Data Analytics, or MBA with healthcare or quantitative focus). English (spoken and written) About The Team
Quest Diagnostics honors our service members and encourages veterans to apply. While we appreciate and value our staffing partners, we do not accept unsolicited resumes from agencies. Quest will not be responsible for paying agency fees for any individual to whom an agency has sent an unsolicited resume. Equal Opportunity Employer: Race/Color/Sex/Sexual Orientation/Gender Identity/Religion/National Origin/Disability/Vets or any other legally protected status.
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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 annual performance bonus compensation. Benefits Information
We are proud to offer best-in-class benefits and programs to support employees and their families in living healthy, happy lives. Our pay and benefit plans have been designed to promote employee health in all respects – physical, financial, and developmental. 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® healthyMINDS mental health program Vacation and Health/Flex Time 6 Holidays plus 1 "MyDay" off FinFit 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. The specialist will develop cohort analyses, benchmark trends across customer segments, and contribute to building tools such as ROI modeling to help clients understand the benefits of investing in health screening and wellness initiatives. Responsibilities
Data Management and Analysis
Collect, clean, and standardize employee health screening data (biomarkers, participation, demographics) across multiple employer programs. Develop analytical cohorts (e.g. industry, company size, disease area) to identify patterns and risk trends. Calculate and report health risk prevalence, progression, and improvement metrics (e.g., % moving from high to moderate metabolic risk). Maintain a repository of benchmark data across client segments for use by sales and marketing teams. Insight Generation and ROI Modeling
Translate health screening outcomes into economic and productivity insights using evidence‑based references. Build and maintain ROI models estimating cost avoidance, productivity gains, and program effectiveness. Design dashboards or visualizations to clearly communicate trends to both technical and non‑technical stakeholders. Support continuous refinement of cohort‑level benchmarks and predictive models over time. 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 & Cross-Functional Collaboration
Contribute to the design and implementation of various department initiatives and tactics. Collaborate with cross‑functional teams (Operations, Product, Marketing) to enhance data storytelling and client deliverables. Support or drive pilot projects across cross‑functional teams. Qualifications
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. Physical And Mental Requirements
N/A Knowledge
Understanding of population health concepts, risk stratification, and preventive screening metrics. Knowledge of data privacy and HIPAA compliance when handling health information. 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 simplifying technical analyses into actionable business insights. Collaboration: Works effectively with sales, marketing, and product teams to align analytics to business goals. Project Management: Organized and self‑directed, capable of handling multiple deliverables simultaneously. Required
Bachelor’s degree in Public Health, Statistics, Data Analytics, Epidemiology, Health Informatics, or a related field. Hybrid Travel up to 25% Preferred
Master’s degree (MPH, MS in Data Analytics, or MBA with healthcare or quantitative focus). English (spoken and written) About The Team
Quest Diagnostics honors our service members and encourages veterans to apply. While we appreciate and value our staffing partners, we do not accept unsolicited resumes from agencies. Quest will not be responsible for paying agency fees for any individual to whom an agency has sent an unsolicited resume. Equal Opportunity Employer: Race/Color/Sex/Sexual Orientation/Gender Identity/Religion/National Origin/Disability/Vets or any other legally protected status.
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