3–5 yrsBengaluruOn-siteDirect career pageEst. 10–18 LPA
Posted 1d ago
Reach people at Thermo Fisher Scientific
People at this company you can reach
Log in to see who works here
Create a free account or log in to see the people at Thermo Fisher Scientific you could write to:
- Recruiters & HR
- People in this function
- Work addresses
Your match
Against your primary resume
Log in to see your match score
Create a free account or log in to unlock your CV match score across:
- Role fit
- Experience
- Industry relevance
Protocol Intelligence
How competitive this role is
Competition
Background fit
Strictness
Log in to see why each signal reads the way it does.
Job description
Structured overview of role & requirements
About This Role
- Develop and maintain Power BI dashboards, semantic models, and SQL-based data pipelines to support Finance and Commercial Analytics reporting needs.
- Automate data processes and reporting to improve decision-making speed and data accessibility across financial workstreams including forecasting, revenue analysis, and pricing analytics.
- Collaborate with stakeholders across Finance, Commercial, and Analytics teams to translate business requirements into scalable BI and analytics solutions, supporting continuous improvement and adoption of advanced analytics tools.
Minimum Requirements
- Bachelor's degree in Computer Science, Information Systems, Data Analytics, Engineering, Statistics, or related field.
- 3–5 years of experience in analytics, business intelligence, reporting, or data engineering.
- Strong Power BI skills including data modeling, DAX, Power Query, and dashboard development.
- Proficient in SQL with experience developing queries, stored procedures, and supporting ETL/data warehouse environments.
Ideal Candidate Profile
- Experienced in supporting Finance or Commercial Analytics business functions with BI and data engineering solutions.
- Capable of handling end-to-end BI development lifecycle including dashboard design, data modeling, automation, and stakeholder engagement.
- Familiar with advanced analytics concepts such as forecasting, pricing analytics, and exposure to AI or machine learning technologies to improve analytics outcomes.