Data Analyst II- fully remote on East Coast!

Thermo Fisher Scientific•Morrisville, NC

1d•Remote

About The Position

As a Data Analyst II at Thermo Fisher Scientific, you will play a crucial role in transforming complex data into actionable insights that drive strategic business decisions. This position involves close collaboration with cross-functional teams to gather requirements, analyze data, and develop scalable solutions using advanced analytics tools. The role demands a blend of technical expertise and business acumen to deliver results that align with the company's mission of enabling customers to make the world healthier, cleaner, and safer. You will be responsible for developing and maintaining interactive dashboards and reports using tools like Power BI, providing essential business intelligence across the organization. Through SQL queries and data analysis, you will identify trends, uncover opportunities for improvement, and formulate data-driven recommendations. Your contributions will directly impact key performance indicators and strategic initiatives, all while upholding the highest standards of data quality and integrity. The collaborative environment offers opportunities to enhance processes, automate workflows, and implement innovative solutions. You will also serve as a technical resource for stakeholders, offering training and support, and fostering strong partnerships throughout the organization.

Requirements

Bachelor's degree in computer science, epidemiology, statistics, biostatistics, mathematics or related field is required.
A minimum of 3 years experience that provides the knowledge, skills and abilities to perform the job requirements with a bachelor degree OR 1 year of experience with a masters degree.
Experience in quantitative methods in the statistical analysis of clinical data using SAS (e.g., SAS Base, SAS Stat, SAS Macro) is required.
Experience programming in R and SAS is required.
Strong SQL skills with ability to write complex queries and manipulate large datasets.
Experience with data visualization best practices and dashboard development.
Expertise in Microsoft Excel including pivot tables, VLOOKUP, and advanced functions.
Knowledge of statistical analysis and forecasting methodologies.
Experience with ETL processes and data warehouse concepts.
Must be legally authorized to work in the United States without sponsorship.
Must be able to pass a comprehensive background check, which includes a drug screening.

Nice To Haves

MS/MA degree in computer science, epidemiology, statistics, biostatistics, mathematics is preferred.
Experience and working knowledge of medical and AE coding and terminology is preferred.
Experience and working knowledge of CDISC standards and ability to deliver projects with SDTM/ADaM is preferred.
Programming skills in Python or similar languages preferred.

Responsibilities

Contribute to transforming complex data into actionable insights that drive strategic business decisions.
Work closely with cross-functional teams to collect requirements, analyze data, and develop scalable solutions using advanced analytics tools.
Develop and maintain interactive dashboards and reports using tools like Power BI to provide crucial business intelligence across the organization.
Identify trends, discover opportunities for improvement, and make data-driven recommendations through SQL queries and data analysis.
Maintain the highest standards of data quality and integrity.
Enhance processes, automate workflows, and implement innovative solutions.
Serve as a technical resource for stakeholders, providing training and support while maintaining strong partnerships across the organization.