Senior Analytics and Data Solutions Engineer

Work Schedule

Standard (Mon-Fri)

Environmental Conditions

Office

Thermo Fisher Scientific Inc. is hiring a Senior Analytics and Data Solutions Engineer to join their team. This role involves working with finance, data solutions, data science, analytics, and data visualization to drive decision-making in a leading life science company.

Key Responsibilities:

• Collaborate with internal customers to find efficient analytics and data solutions in their workflow. Translate data into insights for use by over 500 finance employees and business customers.
• Lead efforts to identify and present predictive drivers/leading indicators, trends, outliers, and patterns that uncover new insights to help guide enterprise-wide business insights.
• Lead data science and data-driven investigation from ideation to data collection and exploration to development, modeling, visualization, and end-user training.
• Advise and partner in building optimized data models for business needs.
• Design, develop, and maintain ETL workflows using Python and Power BI to process, clean, and transform raw data from various sources into usable datasets.
• Build and manage multiple projects, including planning, development, testing, and communications.
• Explore and implement new tools, frameworks, and methods to improve data processing, visualization, and machine learning capabilities.
• Stay updated with advancements in Microsoft Power Platform, Python libraries, and machine learning technologies.
• Perform other duties as assigned.
  
  

Requirements/Qualifications:

• Bachelor’s degree or equivalent experience in a quantitative field, such as Statistics, Computer Science, Mathematics, Data Science, Finance, Business Administration, or a related field; master’s or equivalent experience preferred.
• 3 years’ experience in a reporting/data analyst/data science/data engineering role with progressive responsibilities and scope.
• Experience building models and analyzing large, complex data sets, yielding opportunities for revenue and/or process improvement within an organization.
• Technical proficiency in Python and SQL.
• Hands-on experience with distributed computational frameworks, such as Spark.
• Command of statistical topics, including distributions, hypothesis testing, and experiment design.
• Expertise in data reporting tools (Power Bi, Tableau, SAS Analytics).
• Outstanding verbal/written communication skills.
• Proven track record of achieving desired results without direct report authority.
• Knowledge of Agile/Scrum methodology is a plus.
• Minimal travel required, less than 10%.