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About this Business Intelligence (BI) Engineer role at Danaher

Danaher · Onsite · Bangalore, Karnataka, India

Bring more to life. 


At Danaher, our work saves lives. And each of us plays a part. Fueled by our culture of continuous improvement, we turn ideas into impact – innovating at the speed of life.  


 Our 60,000+ associates work across the globe at more than 15 unique businesses within life sciences, diagnostics, and biotechnology.  

 

 Are you ready to accelerate your potential and make a real difference? At Danaher, you can build an incredible career at a leading science and technology company, where we’re committed to hiring and developing from within. You’ll thrive in a culture of belonging where you and your unique viewpoint matter.  


Learn about the Danaher Business System which makes everything possible.

 

The BI Engineer is responsible for designing and improving Danaher’s data management & analytics function. The primary objective of this role is to build analytics strategies that align with business priorities and drive measurable business outcomes.  


This position reports to the Sr. Director - Data Engineering and is part of the Enterprise Data Engineering team located in India (Bengaluru, Pune, Remote). 

 

In this role, you will have the opportunity to: 

  • Design, develop, and maintain reporting and analytics solutions using Microsoft Fabric, Power BI, and modern cloud analytics platforms. 
  • Build and optimize semantic models, measures, and KPIs that support business and operational decision making. 
  • Partner with business stakeholders to translate complex business requirements into intuitive dashboards, reports, and actionable insights. 
  • Collaborate with data engineering teams to define semantic models and analytics data products. 
  • Explore innovative approaches for analytics applications using Streamlit, Fabric, and emerging AI enabled reporting capabilities. 

 

 

The essential requirements of the job include: 

  • Bachelor’s degree in Computer Science, Information Systems, Data Analytics, Engineering, or related field (or equivalent experience). 
  • 5+ years of experience developing enterprise reporting, business intelligence, or analytics solutions. 
  • Advanced experience with Microsoft Fabric, Power BI including semantic models, DAX, Power Query, Row-Level Security (RLS), and Fabric analytics capabilities. 
  • Strong understanding of dimensional modeling, star schemas, and analytics data modeling principles. 
  • Experience gathering requirements and partnering directly with business stakeholders to define KPIs and reporting solutions. 
  • Proficiency in SQL and experience analyzing data from modern cloud based data platforms. 

It would be a plus if you also possess previous experience in: 

  • Snowflake and modern cloud data warehouse platforms. 
  • Streamlit or similar tools for building interactive analytics applications. 
  • Data engineering technologies such as Python, PySpark, Fabric Notebooks, and ETL/ELT pipelines. 

Danaher offers a broad array of comprehensive, competitive benefit programs that add value to our lives. Whether it’s a health care program or paid time off, our programs contribute to life beyond the job. Check out our benefits at Danaher Benefits Info. 


Join our winning team today. Together, we’ll accelerate the real-life impact of tomorrow’s science and technology. We partner with customers across the globe to help them solve their most complex challenges, architecting solutions that bring the power of science to life.

For more information, visit www.danaher.com.

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About Danaher

Danaher is a leading global life sciences, biotechnology, and diagnostics innovator, helping to solve many of the world’s most important health challenges, ultimately improving quality of life for billions of people today, while setting the foundation for a healthier, more sustainable tomorrow. The Danaher ecosystem is made up of more than 15 businesses united by a shared commitment to innovate for tangible impact. Please read our Applicant Data Privacy Notice carefully here .

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