Thermo Fisher Scientific Hiring: BI Developer 2026:-
This full-time, fully on-site opportunity is suited to experienced professionals with strong Power BI, SQL, data modeling, reporting automation, and business analytics skills.
| Company: | Thermo Fisher Scientific |
| Job Title: | BI Developer |
| Employment Type: | Full-Time |
| Experience Required: | 3–5 years |
| Salary: | As per Company Standards |
| Application Deadline: | ASAP |
Role Overview:-
The BI Developer will develop, maintain, and optimize business intelligence, analytics, and data solutions supporting Finance and Commercial Analytics initiatives.
The position combines Power BI development, SQL-based data engineering, analytics, reporting automation, and stakeholder collaboration. The successful candidate will transform business requirements into scalable dashboards, reliable reporting datasets, semantic models, and automated data processes.
The role supports business areas such as:
- Order-to-Cash operations
- Revenue commitment and revenue analysis
- Commercial Analytics
- Forecasting and business performance monitoring
- Pricing analytics
- Finance-related reporting and analytics
- Data quality and reporting process improvement
The developer will work with Finance, Commercial, Operations, IT, Analytics, and project teams to deliver accurate, efficient, and user-friendly reporting solutions.
Educational Requirements:-
Candidates must have a bachelor’s degree in one of the following or a related discipline:
- Computer Science
- Information Systems
- Data Analytics
- Engineering
- Statistics
- A related technical or analytical field
Experience requirement: 3–5 years of experience in analytics, business intelligence, reporting, or data engineering.
Experience supporting Finance, Commercial Operations, Sales Operations, Revenue Management, or similar business functions is preferred.
Preferred additional qualifications:
- Microsoft Power BI certification.
- Experience working in Agile project environments.
- Exposure to finance and commercial reporting platforms.
- Experience with revenue forecasting, pricing analytics, or CRM data.
Key Skills:-
Technical Skills
Business Intelligence and Power BI
- Microsoft Power BI
- Power BI dashboard development
- Data modeling and relationship management
- DAX measures and calculated columns
- Power Query and data transformation
- Semantic models and reusable datasets
- Report optimization and performance tuning
- Enterprise reporting solutions
- Data visualization and dashboard design
- User acceptance testing and production support
SQL and Data Engineering
- Strong SQL query development
- Stored procedures
- Reporting table development
- Relational databases
- Data warehouse environments
- SQL-based data pipelines
- ETL process development and support
- Data integration across enterprise systems
- Data validation and quality monitoring
- Data transformation and documentation
Analytics and Automation
- Business performance analysis
- Forecasting and revenue analysis
- Pricing analytics
- Commercial reporting
- Reporting process automation
- Power Automate — preferred
- Databricks and Spark — preferred
- Cloud-based analytics platforms — preferred
- AI, machine learning, and generative AI exposure — preferred
Functional Skills
- Business intelligence solution development
- Finance and Commercial Analytics support
- Business requirements gathering
- Technical solution design
- Dashboard and report lifecycle management
- Data quality assurance
- Data integration and transformation
- Reporting automation
- Business performance monitoring
- Scenario analysis and trend identification
- Revenue and pricing analysis
- User acceptance testing and deployment support
- Production issue resolution
- Project coordination and delivery
- Continuous improvement and process optimization
Soft Skills
- Strong analytical and problem-solving abilities
- Clear written and verbal communication
- Stakeholder management
- Attention to detail
- Data accuracy and quality awareness
- Time management and prioritization
- Independent working capability
- Collaboration within global teams
- Adaptability in a fast-paced environment
- Ability to manage multiple priorities
- Documentation and knowledge-sharing skills
- Continuous learning and improvement mindset
Skill priority: Power BI, DAX, Power Query, SQL, data modeling, and reporting optimization are central to the role. Databricks, Spark, Power Automate, cloud analytics, and AI-related technologies are listed as preferred or additional capabilities.
Roles & Responsibilities:-
1. Power BI Development and Dashboard Design
- Design, develop, and maintain Power BI dashboards and reports for Finance and Commercial Analytics.
- Convert business requirements into interactive, user-friendly reporting solutions.
- Develop clear visualizations that communicate business performance, trends, risks, and opportunities.
- Create and maintain reusable reporting assets to improve consistency across business teams.
- Build semantic models and datasets that support scalable enterprise reporting.
- Apply Power BI design and development best practices.
- Optimize report usability, responsiveness, and performance.
- Maintain existing dashboards and implement approved enhancements.
2. Data Modeling and DAX Development
- Design effective data models to support analytical and reporting requirements.
- Develop DAX measures, calculated columns, and business calculations.
- Use Power Query to extract, clean, transform, and prepare data.
- Establish appropriate relationships between datasets and data tables.
- Build reusable semantic models that support consistent business metrics.
- Improve model efficiency and report performance.
- Validate calculations and business logic to ensure accurate reporting outcomes.
- Document data models, measures, and reporting logic for future maintenance.
3. SQL Development and Data Engineering
- Develop and maintain SQL queries, stored procedures, and reporting datasets.
- Create and support SQL-based data pipelines and transformations.
- Integrate data from multiple enterprise systems and data sources.
- Design scalable datasets that support business intelligence and analytics.
- Maintain reporting tables and data structures used by Power BI solutions.
- Support ETL processes and data preparation activities.
- Collaborate with data engineering and IT teams to improve data accessibility.
- Troubleshoot data pipeline and transformation issues.
- Maintain technical documentation for queries, datasets, and transformations.
4. Data Quality and Validation
- Monitor data quality and identify inconsistencies in reporting datasets.
- Perform data validation to ensure accuracy, completeness, and reliability.
- Investigate data discrepancies and coordinate issue resolution with relevant teams.
- Validate source data, transformed data, and reporting outputs.
- Support data refresh monitoring and investigate refresh failures.
- Improve data reliability and consistency across enterprise reporting solutions.
- Document data quality issues, corrective actions, and validation procedures.
- Work with business stakeholders to confirm that reports reflect expected business logic.
5. Finance and Commercial Analytics Support
- Support forecasting, revenue analysis, pricing analytics, and commercial performance reporting.
- Develop reporting solutions for Order-to-Cash and Revenue Commitment initiatives.
- Analyze business data to identify trends, risks, performance gaps, and opportunities.
- Support scenario analysis and business performance monitoring.
- Translate business questions into appropriate analytical approaches and technical solutions.
- Provide reporting and analytical support to Finance, Commercial, and Operations stakeholders.
- Help business teams use reliable data for planning and decision-making.
- Support additional Finance-related workstreams according to business priorities.
6. Reporting Automation and Process Improvement
- Develop automated reporting processes that reduce manual effort.
- Identify opportunities to streamline data preparation, reporting, and refresh activities.
- Improve the efficiency, scalability, and reliability of existing BI solutions.
- Use automation tools such as Power Automate where appropriate.
- Support modernization of analytics platforms and reporting capabilities.
- Apply continuous improvement and PPI principles to data and reporting workflows.
- Identify opportunities to improve data accessibility and business productivity.
- Explore AI-enabled tools and advanced analytics techniques to enhance efficiency and insight generation.
7. Testing, Deployment, and Production Support
- Support user acceptance testing (UAT) for new and enhanced reporting solutions.
- Validate report calculations, data accuracy, filters, and visualizations.
- Coordinate testing activities with business users and project teams.
- Support deployment of dashboards, datasets, and reporting enhancements.
- Troubleshoot issues reported by users and investigate their causes.
- Implement approved fixes and enhancements.
- Provide ongoing production support for BI solutions.
- Help ensure reporting deliverables meet agreed quality and business requirements.
8. Stakeholder Collaboration and Project Delivery
- Work with Finance, Commercial, Operations, IT, Analytics, and data engineering teams.
- Participate in requirements-gathering and solution-design discussions.
- Translate business needs into technical specifications and reporting solutions.
- Collaborate with project managers and analytics leaders to plan and deliver work.
- Communicate technical findings and reporting outcomes to business users.
- Provide technical support and knowledge transfer to team members and stakeholders.
- Manage competing priorities while maintaining quality and delivery timelines.
- Contribute to cross-functional initiatives within a global working environment.
9. Documentation and Continuous Improvement
- Document data structures, transformation logic, reporting calculations, and technical processes.
- Maintain clear documentation for datasets, semantic models, dashboards, and data pipelines.
- Identify opportunities to simplify workflows and reduce recurring manual tasks.
- Contribute to analytics platform modernization and reporting standardization.
- Support the adoption of digital and AI-enabled tools where appropriate.
- Share technical knowledge and best practices with colleagues.
- Apply continuous improvement principles to enhance reporting quality and business outcomes.
About the Company:-
Thermo Fisher Scientific is a global science and technology company that provides products, services, and solutions supporting scientific research, healthcare, diagnostics, pharmaceutical development, laboratory operations, and other scientific applications.
The company’s mission is to enable customers to make the world healthier, cleaner, and safer. Its Data Science, Digital and IT teams use analytics, programming, information technology, and data-driven solutions to support business operations and scientific innovation.
Employees have opportunities to work on business-critical technology initiatives, collaborate with global teams, and contribute to solutions that improve operational performance and decision-making.
Thermo Fisher Scientific Hiring: BI Developer 2026 Application Process:-
Apply Link:- Click Here To Apply
Note:- Only the shortlisted candidates will be notified for the further interview process.
