Thermo Fisher Scientific

Compensation

Full Description

Work Schedule Standard (Mon-Fri) Environmental Conditions Office Job Description In this Analyst II role, you will be a key contributor to our Website A/B Testing & Optimization Program—working hand-in-hand with the Program Manager to run tests, craft actionable insights, and drive continuous improvement across our flagship websites. Make a real impact on our customer's website experiences by putting your strong analytics, testing, and teamwork skills to work! Key Responsibilities Support the complete process of split testing and optimization. Work closely with the T&O Program Manager and various teams (product, UX, web analytics, marketing) to identify testing priorities, establish key performance indicators, and implement vitals tracking. Extract and transform analytics data from online platforms (e.g., Adobe Analytics, Google Analytics/GA4, Amplitude, etc.), ensuring data accuracy, appropriate segmentation, and accurate attribution. Perform statistical analysis of experiments: calculate lift, confidence, segmentation, and interaction effects. Develop actionable insights and recommendations from test outcomes in clear, business-relevant terms; track post-test impact; and embed lessons into future experiments and optimization roadmap. Stay current on digital testing & optimization industry standards and propose improvements to our framework to help elevate the organization’s testing maturity. Qualifications (Typical) Minimum Requirements Bachelor’s degree in Statistics, Mathematics, Economics, Business Analytics, Digital Marketing Analytics or related field (or similar experience) 2+ years of experience in a digital analytics or experimentation role (or similar) Strength in quantitative analysis, understanding of statistical concepts (e.g., hypothesis testing, confidence intervals, sample size) Strong skills in Excel and experience with analytics tools / data visualization (e.g., Power BI) and data query (SQL) or willingness to learn Proficiency in using web analytics tools like Google Analytics/GA4, Adobe Analytics, and platforms for conducting split tests such as Optimizely, VWO, and Google Optimize Ability to clearly communicate analytic results and recommendations to non-technical audiences and influence cross-functional partners Strong attention to detail, interpersonal skills, ability to run multiple test streams and priorities Preferred Qualifications Familiarity with causal inference and incrementality testing beyond A/B (e.g. holdout). Familiarity with scripting (R, Python) or automated data pipelines. Understanding of digital conversion optimization. Experience in eCommerce or B2B website environments. Knowledge of data privacy/consent frameworks (GDPR, CCPA) and implications on digital analytics.