Data Analyst

Work Schedule

Standard (Mon-Fri)

Environmental Conditions

Office

Job Description

As part of the Thermo Fisher Scientific team, you’ll 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 world’s toughest challenges, like protecting the environment, making sure our food is safe or helping find cures for cancer.

DESCRIPTION:
As a Data Analyst II at Thermo Fisher Scientific, you'll contribute to transforming complex data into actionable insights that drive strategic business decisions. You'll work closely with cross-functional teams to collect requirements, analyze data, and develop scalable solutions using advanced analytics tools. This role combines technical expertise with business acumen to deliver results that support our mission of enabling customers to make the world healthier, cleaner and safer.

You'll develop and maintain interactive dashboards and reports using tools like Power BI to provide crucial business intelligence across the organization. Through SQL queries and data analysis, you'll identify trends, discover opportunities for improvement, and make data-driven recommendations. Your work will directly impact key performance indicators and strategic initiatives while maintaining the highest standards of data quality and integrity.

In this collaborative environment, you'll have opportunities to enhance processes, automate workflows, and implement innovative solutions. You'll serve as a technical resource for stakeholders, providing training and support while maintaining strong partnerships across the organization.

REQUIREMENTS:
• Advanced Degree, no prior experience required, or Bachelor's Degree plus 2 years of experience in data analytics and reporting, preferably in a corporate or manufacturing environment
• Preferred Fields of Study: Computer Science, Data Science, Information Systems, Business Analytics, or related field
• Advanced certifications in data analytics, business intelligence tools, or related areas preferred
• Advanced proficiency in Power BI, including DAX and data modeling
• 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
• Programming skills in Python, R or similar languages preferred
• Strong analytical and problem-solving abilities
• Excellent written and verbal communication skills
• Ability to translate complex technical concepts for non-technical audiences
• Detail-oriented with strong organizational and time management skills
• Self-motivated with ability to work independently and collaboratively
• Experience with Salesforce, SAP or other enterprise systems a plus
• Familiarity with data governance and quality control procedures