Data Analyst – Analytics Engineering & AI
Core
Transform business questions into trusted datasets, analytical models, dashboards, and actionable insights while building an AI-ready analytics foundation. (via careerplan.io/jobs/R-01369315-1-data-analyst-analytics-engineering-ai-at-thermofisher)
Role type
Data Analyst (Analytics Engineering & AI)
Builds
Dashboards, reports, scorecards, and curated analytical datasets for business stakeholders.
Domain
Life Sciences / Enterprise Analytics & AI
Deliverable
dashboards & analysis
Required skills
SQL, Python, data modeling, semantic modeling, data quality validation, ETL/ELT, visualization tools
Preferred skills
Generative AI, natural-language querying, cloud data platforms, digital analytics technologies
Technologies
Snowflake, Teradata, Hadoop, AWS, Azure, Google Cloud Platform, Tableau, Power BI, SAP, ERP, CRM
Responsibilities
Partner with stakeholders to understand business questions and reporting requirements; Analyze large datasets to identify trends and drivers of performance; Build and maintain dashboards and visualizations; Write and maintain SQL queries and data transformations; Support the development of reusable analytical datasets and semantic layers; Perform data profiling, validation, and quality checks; Assist with ETL/ELT and analytics engineering activities; Validate AI-generated analytical outputs against trusted datasets; Collaborate with engineering and governance teams to ensure solution standards.
Seniority
Mid-level, hands-on IC
