Data & AI Analytics Specialist

About the job

As part of the Thermo Fisher Scientific team, you will do meaningful work that makes a positive global impact, helping bring our Mission to life, enabling customers to make the world healthier, cleaner, and safer. We are seeking a Data & AI Analytics Specialist to strengthen the analytical foundation supporting Search (SEO & SEM) and cross-channel marketing measurement. This role is ideal for an analytical problem-solver who thrives in ambiguity, works directly with complex datasets, and owns analysis end to end—from raw data to actionable insights. Operating at the intersection of analytics, data engineering, AI, and marketing optimization, this role focuses on building reliable data models, validating performance data, and applying advanced analytics to understand and optimize growth, efficiency, and customer behavior across channels. Responsibilities: • Write and maintain production-quality SQL queries and lightweight data models to support reporting, experimentation, and ad-hoc analysis • Apply strong analytical ownership by reasoning directly on raw & modeled data, validating and documenting results, and independently exploring ambiguous questions through curiosity-driven analysis • Seek opportunities for AI/automation within the search and marketing analytics function • Perform data validation & contribute incremental enhancements to existing data pipelines, transformations, and schemas • Perform trend decomposition and forecasting to separate seasonality from true performance changes • Support cross-channel and journey-based measurement • Partner closely with marketing stakeholders to translate ambiguous questions into structured analytical approaches • Embed AI-driven insights directly into Power BI dashboards Requirements: • Bachelor’s Degree plus 4+ years of experience in marketing analytics, data engineering, applied data science, or related field • Strong technical proficiency in SQL and Python or R • Foundational understanding of data modeling concepts • Experience performing data QA, reconciliation, and validation • Comfort working in ambiguous problem spaces • Experience building and scaling AI/automation-enabled analytics solutions using orchestration tools and BI platforms • Solid understanding of digital marketing fundamentals • Strong organizational skills Preferred: • Experience with BI tools, GitLab/GitHub-based analytics workflows • Exposure to marketing automation platforms and experimentation frameworks.

Requirements

• SQL
• Python
• Data Modeling
• Data Analytics
• Marketing Analytics

Qualifications

• Bachelor’s Degree
• 4+ years of experience

Preferred Technologies

• SQL
• Python
• Data Modeling
• Data Analytics
• Marketing Analytics

About the company

Thermo Fisher Scientific specializes in making the world healthier, cleaner, and safer through innovative solutions and analytics in various domains.