Thermo Fisher Scientific
Bengaluru, Karnataka, India Posted 4d ago
As part of the Thermo Fisher Scientific team, the BI Developer is responsible for developing and maintaining business intelligence, analytics, and data solutions enabling data-driven decision-making across AIG Finance and Commercial Analytics. This role combines strong Power BI development capabilities with data engineering and analytics expertise to deliver scalable reporting solutions.
Key Responsibilities
1. Business Intelligence & Reporting
Design, develop, and maintain Power BI dashboards and reports supporting Finance and Commercial Analytics initiatives.
Develop semantic models, datasets, and reusable reporting assets to improve consistency and scalability.
Create intuitive visualizations that communicate business performance, trends, risks, and opportunities.
Optimize report performance and usability through data modeling, DAX development, and dashboard design best practices.
Support user acceptance testing, deployment, enhancement requests, and ongoing production support.
2. Data Engineering & Data Management
Develop and maintain SQL-based data pipelines, transformations, and reporting tables.
Support data integration activities across multiple enterprise systems and data sources.
Design and maintain scalable datasets that support analytical and reporting requirements.
Assist with data quality monitoring, validation, and issue resolution.
Develop and maintain documentation for data structures, transformations, and reporting logic.
Partner with IT and analytics teams to improve data reliability, refresh performance, and automation.
3. Analytics & Business Support
Support forecasting, revenue analysis, pricing analytics, and commercial performance reporting.
Analyze business requirements and translate them into technical solutions.
Develop automated reporting processes that reduce manual effort and improve decision-making speed.
Support scenario analysis, trend identification, and business performance monitoring.
Assist in identifying opportunities to leverage AI-enabled tools and advanced analytics techniques to improve efficiency and insight generation.
4. Stakeholder Collaboration
Partner with Finance, Commercial, Operations, and Analytics stakeholders to understand business needs and priorities.
Participate in project planning, requirements gathering, and solution design discussions.
Provide technical support and knowledge transfer to business users and fellow team members.
Collaborate with project managers and analytics leaders to ensure timely delivery of high-quality solutions.
5. Continuous Improvement
Apply PPI and continuous improvement principles to reporting, analytics, and data management processes.
Identify opportunities to simplify workflows, automate recurring activities, and improve data accessibility.
Support ongoing modernization of analytics platforms, reporting capabilities, and data architecture.
Contribute to the adoption of AI and digital tools that improve productivity and business outcomes.
Requirements
Bachelor's degree in Computer Science, Information Systems, Data Analytics, Engineering, Statistics, or related field required.
3–5 years of experience in analytics, business intelligence, reporting, or data engineering.
Strong Power BI experience including Data modeling, DAX, Power Query, Dashboard development, and Report optimization.
Strong SQL skills with experience developing queries, stored procedures, and reporting datasets.
Experience working with relational databases and data warehouse environments.
Experience developing and supporting ETL processes.
Preferred Qualifications
Microsoft Power BI certification.
Experience supporting Finance or Commercial Analytics organizations.
Experience working in Agile project environments.
Exposure to revenue forecasting, pricing analytics, CRM data, or commercial reporting platforms.
Experience leveraging AI tools to improve development efficiency and analytical outcomes.
