Senior Data Analyst – Analytics Engineering & AI
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About the role
Thermo Fisher Scientific provides products and services that enable customers to make the world healthier, cleaner, and safer. This senior individual contributor will build trusted analytics models and data products and support AI-enabled analytical experiences.
What you'll do
- Translate business questions into analytical requirements, models, metrics, and recommendations
- Build scalable analytical datasets and reusable semantic models
- Develop SQL transformations and Python workflows for analysis and validation
- Validate AI-generated answers against governed data and metric definitions
- Create dashboards, scorecards, and self-service analytical products
- Mentor analysts on SQL, data modeling, and semantic design
Skills
Must have
- SQL
- Python
- Data modeling
- Analytics engineering
- Data quality
- Data lineage
- Metadata management
- Data governance
- Etl/elt
- Business intelligence
Nice to have
- Generative AI
- LLMs
- RAG
- Semantic search
- Embeddings
- AI agents
Who it's for
- Education
- Bachelor's degree
- Degree
- computer science, data science, engineering, information systems, business analytics, statistics, mathematics, economics
- Experience
- 6+ years
- Domain
- life sciences
About Thermo Fisher Scientific
Thermo Fisher Scientific has 120 open roles in Bangalore, at Thermo Fisher Scientific India (registered office). See every Thermo Fisher Scientific role.
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