Manager, Data Analytics, Commercial Excellence
Job Summary
Work Schedule
Standard (Mon-Fri)Environmental Conditions
OfficeJob Description
As part of the Thermo Fisher Scientific team youll discover meaningful work that makes a positive impact on a global scale. Join our colleagues in bringing our Mission to life every single day to enable our customers to make the world healthier cleaner and safer. We provide our global teams with the resources needed to achieve individual career goals while helping to take science a step beyond by developing solutions for some of the worlds toughest challenges like protecting the environment making sure our food is safe or helping find cures for cancer.
DESCRIPTION:
Join our collaborative team as a Data Analytics Manager and help advance Thermo Fisher Scientifics mission of enabling our customers to make the world healthier cleaner and this key role youll lead a team of data professionals while developing and implementing innovative data solutions that support strategic decision-making across the organization.
Youll oversee the development and maintenance of data infrastructure ensuring data quality accessibility and reliability. Working closely with cross-functional teams youll translate complex business requirements into actionable insights and drive continuous improvement in our data management processes. Your expertise will be valuable in developing scalable data solutions implementing governance frameworks and promoting a data-driven culture.
This role offers the opportunity to make a significant impact by using advanced analytics tools and methodologies to enhance operational efficiency drive business growth and support critical initiatives across our organization. Youll collaborate with stakeholders at all levels to deliver valuable insights that inform strategic decisions and improve business outcomes.
RESPONSIBILITIES:
Lead and prioritize projects coordinating departmental or cross-functional teams to deliver project results
Conduct analytics including business performance analysis risk and opportunity analysis pipeline analysis digital analytics and big data analytics
Build standard reports to provide visibility to leadership with objective data points to enable data driven decisions.
Drive continuous improvement and reengineering of operational processes to enhance efficiency and effectiveness
Collaborate with teams in both finance and commercial operations to successfully implement projects
REQUIREMENTS:
Advanced Degree plus 6 years of experience or Bachelors Degree plus 8 years of experience in data analytics business intelligence or related field
Preferred Fields of Study: Computer Science Data Science Business Engineering or related field
Professional certifications in data analytics project management or related areas beneficial
3 years people management experience leading technical teams
Strong proficiency in SQL Python R SAS and data visualization tools (Power BI Tableau)
Experience with cloud platforms (AWS Azure) and enterprise data warehouse solutions
Advanced knowledge of ETL processes and data pipeline development
Expertise in data governance quality management and security best practices
Strong project management skills with experience in Agile methodologies
Excellent communication and presentation skills for engaging with stakeholders at all levels
Demonstrated ability to translate complex technical concepts for non-technical audiences
Experience with ERP systems (SAP Oracle) preferred
Proven track record of implementing data-driven solutions and process improvements
Strong analytical and problem-solving capabilities
Ability to work effectively in a matrix organization
Travel up to 25% as required
Excellent stakeholder management and influence skills
Strong business acumen and ability to align data strategies with organizational goals
Required Experience:
Manager
About Company
Electron microscopes reveal hidden wonders that are smaller than the human eye can see. They fire electrons and create images, magnifying micrometer and nanometer structures by up to ten million times, providing a spectacular level of detail, even allowing researchers to view single a ... View more