Sr. Data Engineer- Remote

Sr. Data Engineer- Remote

  • Anywhere

Company Name:-
Thermo Fisher Scientific

Job Location:-
Pittsburgh, PA 15122

Job Summary:-
This position can be remote
When you’re part of the team at Thermo Fisher Scientific, you’ll do important work, like helping customers in finding cures for cancer, protecting the environment or making sure our food is safe.

Your work will have real-world impact, and you’ll be supported in achieving your career goals.

How will you make an impact?
The Data Engineer role will support the Chromatography and Mass Spectrometry Division to leverage Data Analytics and Data Science to drive profitable growth globally.

The role will report to the Director, Pricing and Data Analytics, and will be working closely with data scientists and global finance team and business teams including sales, marketing, and product management, to drive digital transformation for the business and make immediate tangible impact.

What will you do?
Lead data collection, integration, clean-up, and validation from multiple sources
Build robust, efficient and reliable data pipelines
Collaborate with data science teams to deploy and improve data science models, increasing data accessibility and quality, fostering data-driven decision making, and driving adoption of digital transformation within the organization
Implement processes to monitor data quality, ensuring production data is always accurate and available for key stakeholders and business processes that depend on it
Perform data analysis required to troubleshoot data related issues and assist in the resolutions
Design databases and pre-process data sets, enabling business to perform sophisticated business analytics efficiently and accurately, with ability to scale across regions and business units
Develop, automate, and scale data analytics for business KPIs and key business initiatives
Create Dashboards and regular report-out to measure business performances, including promotion effectiveness, share gain, customer acquisition/retention, up sell and cross sell, etc.

Identify business problems and areas of opportunities and translate business needs into quantitative analyses that enable business to uncover patterns and insights
Work with business partners to ensure prioritization in line with strategic initiatives and set goals to track progress on a regular basis
Collaborate with corporate

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