Sr. Health & Benefits Data Analyst

Company Description

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).

Job Description

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 Deliverab