Senior Analytics and Data Solutions Engineer

Work ScheduleStandard (Mon-Fri)Environmental ConditionsOfficeJob DescriptionThermo 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%.

Thermo Fisher Scientific is an EEO/Affirmative Action Employer and does not discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability or any other legally protected status.