Data & AI Analytics Specialist

About the job

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 (facts, dimensions, consistent metrics) 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, hypothesis-based analysis. • Seek opportunities for AI/automation within the search and marketing analytics function, using SQL, Python, Excel macros, or scripting to reduce manual effort and improve repeatability. • Perform data validation & contribute incremental enhancements to existing data pipelines, transformations, and schemas, improving reliability, clarity, and scalability to ensure trust in performance reporting. • Perform trend decomposition and forecasting to separate seasonality from true performance changes and inform planning and investment decisions. • Support cross-channel and journey-based measurement, helping evolve attribution and performance understanding beyond traditional models. • Partner closely with marketing stakeholders to translate ambiguous, loosely defined questions into structured analytical approaches and clear outputs. • Embed AI-driven insights directly into Power BI dashboards, including: automated anomaly detection and trend alerts, forecasting and scenario modeling and natural-language summaries or explanations of metrics.

Requirements

• SQL
• Python
• Data Modeling
• Marketing Analytics

Qualifications

• Bachelor’s Degree
• 4+ years of experience in marketing analytics

Preferred Technologies

• SQL
• Python
• Data Modeling
• Marketing Analytics

About the company

Thermo Fisher Scientific enables customers to make the world healthier, cleaner, and safer. As part of the team, you will do meaningful work that makes a positive global impact, helping bring our Mission to life.