Sr. Health & Benefits Data Analyst

SGS is the world's leading Testing, Inspection and Certification company. We operate a network of over 2,700 laboratories and business facilities across 119 countries, supported by a team of 99,250 dedicated professionals. With over 145 years of service excellence, we combine the precision and accuracy that define Swiss companies to help organizations achieve the highest standards of quality, safety and compliance.

Our brand promise, when you need to be sure, underscores our commitment to reliability, integrity and trust — enabling businesses to thrive with confidence. We proudly deliver our expert services through the SGS name and trusted specialized brands, including Brightsight, Bluesign, Maine Pointe and Nutrasource.

SGS is publicly traded on the SIX Swiss Exchange under the ticker symbol SGSN (ISIN CH0002497458, Reuters SGSN.S, Bloomberg SGSN:SW).

The Sr. Health & Benefits Data Analyst turns complex health and benefits data into clear, actionable insights. This role uses advanced data analytics, multivariate analyses, dashboards, benchmarking, and AI-driven analysis to show how effective programs deliver measurable results, helping position the organization as a leader in benefit analytics. We are looking to hire at least 2 positions.

Job functions:

Data Analysis & Insights

• Analyze data related to benefits, including medical claims, pharmacy claims, wellbeing programs, ergonomics, workers’ compensation, disability, flexible work schedule, paid time off, and other benefits. Identify trends, correlations, and leading indicators linking health and wellbeing programs, initiatives, and design to reductions in claims, accidents, and lost-time incidents.
• Support descriptive, diagnostic, predictive, and prescriptive analyses across benefits programs (e.g., mental health, fertility, medical, ergonomics, occupational health and safety (OHS)).
• Enable ongoing evaluation of benefit suppliers and point solutions, including program effectiveness, utilization, outcomes, and cost impact.
• Build predictive models to forecast risk exposure, claim frequency/severity, and potential impact of preventive interventions.
• Design and deploy AI-driven models (machine learning, NLP, anomaly detection) to uncover hidden patterns in health, safety, and benefits data.
• Translate business and research questions into analytic requirements and ensure outputs are accurate, interpretable, and decision‑ready.
• Review analytic outputs for quality, validity, and appropriate interpretation before sharing with stakeholders. Provide training and support to benefits managers for data interpretation and validity.
• Coordinate with leaders, actuary, and benefit managers to develop and automate recurring reports to ensure timely and scalable insights.

Impact Measurement & ROI Demonstration

• Quantify the financial and human impact of safety and wellbeing initiatives.
• Develop frameworks to measure return-on-investment (ROI) and value-on-investment (VOI) for health, benefits, and safety programs.
• Produce executive-ready narratives that clearly link prevention, wellbeing, and safety investments to business outcomes.
• Develop standardized key performance indicators (KPIs) and indices (e.g., incident/utilization rates, claim costs, wellbeing return-on-investment (ROI) metrics) to enable consistent comparisons across industries and geographies.
• Use benchmarking insights to translate clear recommendations for program design, investment prioritization, and risk mitigation.

Stakeholder Collaboration

• Collaborate closely with a third party analytics vendor and internal health and benefits program managers to design, streamline, and maintain dashboards that support data driven decision-making. Ensure consistent definitions, data quality, and visualization standards across reporting products while translating program needs into clear analytical requirements and insights
• Support leadership with data driven insights for strategic decisions related to benefits design, wellbeing initiatives, and safety programs.
• Act as a subject matter expert in benefit analytics.
• Help manage analytic demand to avoid backlogs, maintain momentum, and ensure sustained analytic capacity.

Governance, Ethics, & Compliance

• Ensure data accuracy, integrity, and appropriate use of sensitive health and employee data.
• Comply with all relevant data privacy, security, and regulatory requirements.
• Support fiduciary responsibilities related to benefits decision‑making by ensuring analyses are rigorous, unbiased, and well‑documented.

Key Deliverables

• Executive dashboards and reports linking health, wellbeing, and OHS programs to measurable outcomes.
• Industry benchmarking reports with clear performance positioning.
• Predictive risk and claims models.
• ROI, evaluations, and impact assessments for safety, health, and benefits initiatives.
• Data-driven recommendations for continuous improvement.

Required Qualifications

• Bachelor’s or Master’s degree in Data Science, Statistics, Economics, Public Health, Healthcare Economics, Occupational Health, Engineering, or a related field.
• 5+ years of experience in data analytics, preferably within public health, insurance, benefits, risk management, or occupational health in a large, complex organization.
• Strong experience with data analysis tools (e.g., Python, R, SQL, etc) and experience designing and establishing dashboards from raw data using tools such as Power BI
• Strong written and verbal communication skills, with the ability to explain complex analyses to non‑technical audiences.

Preferred Qualifications

• Experience working with health insurance, wellbeing, disability, or benefits programs or datasets, especially for large employers.
• Experience demonstrating program evaluations, outcome measurements, and ROI of health, wellbeing, or safety programs.
• Experience working as a liaison between groups to help reach decisions
• PhD  or PhDc in Data Science, Statistics, Economics, Public Health, Occupational Health, Engineering, or a related field.
• Experience supporting executive‑level or senior leadership decision‑making.
• Experience with AI/ML techniques for analysis or to generate program insights

Compensation

The expected salary range for this position is $115,000 – $175,000 annually. This range represents the minimum and maximum base salary we reasonably expect to pay for this role. Actual compensation within the range will depend on skills, experience, and qualifications.

Our Benefits

We care about your total well-being and will support you with the following, subject to your location and role.

• Health: Medical, dental and vision insurance, life insurance, employee assistance programs.
• Wealth: In addition to base pay, we offer 401(k) with company match (immediate vesting upon enrollment).
• Happiness:
  • Professional Growth: Online training courses, virtual and classroom development experiences, tuition reimbursement program
  • Work-Life Balance: Paid-time off and family leave

In compliance with applicable state and local pay transparency laws, we provide clear and equitable compensation information for all applicants.

SGS is an Equal Opportunity Employer, and as such we recruit, hire, train, and promote persons in all job classifications without regard to race, color, religion, sex, national origin, disability, age, marital status, sexual orientation, gender identity or expression, genetics, status as a protected veteran, or any other characteristics protected by law.

To perform this job successfully, an individual must be able to perform each essential duty satisfactorily with or without reasonable accommodations. The requirements listed above are representative of the knowledge, skills, and/or abilities required.

This job description should not be construed as an exhaustive statement of duties, responsibilities or requirements, but a general description of the job. Nothing contained herein restricts the company’s rights to assign or reassign duties and responsibilities to this job at any time.

If you are applying for a position within the United States and you have difficulty completing the on-line employment application because of a disability, please call 201-508-3149 for assistance and leave a message. You will receive a call back.  Please note, this phone number is not for general employment information, but is only for individuals who are experiencing difficulty applying for a position due to a disability.