Data Engineer/Analyst

at  Thermo Fisher Scientific

JOB DESCRIPTION

When you’re part of a team at Thermo Fisher Scientific, you provide important work with real-world impact; and be enthusiastically supported in achieving career goals. Employees are valued and recognized for their performance, all while collaborating with engaged and dynamic teammates. This role supports our Biosciences division, which represents over $4B in sales annually.
We are looking for an experienced data engineer/analyst to support end-to-end data analytics projects for the divisional marketing team. Are you astute at simplifying sophisticated data with outstanding communication skills?

EXPERIENCE REQUIREMENTS:

• Experience in taking requirements and understanding the needs of the business to tackle problems
• Experience in the design and implementation of the different data processes like profiling, exploration, collection, processing, cleaning, and preparation of data, ETL, ELT, ETLT data processes and data pipelines with Python, SQL, Non-SQ, MS Power BI Services and Power Query
• Experience in semantic data models and schemas like flat, star and snowflake schemas
• Experience in crafting business intelligence reports/dashboards from scratch
• Strong graphics and visualization aesthetics to convey messages simply and impact-fully

MINIMUM QUALIFICATIONS AND EXPERIENCE:

• Bachelor’s degree in the sciences or engineering
  5+ years experience in a data analytics or engineering role with a solid understanding of technical, business, and operational process
  Proven ability with Power BI Desktop and Service (or similar business intelligence and data visualization tool), M, Python and SQL desirable
  Advanced MS Excel
  Experience with GitHub and agile scrum
  At Thermo Fisher Scientific, each one of our 90,000 extraordinary minds have a unique story to tell. Join us and contribute to our singular mission—enabling our customers to make the world healthier, cleaner and safer.
  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. We will make reasonable accommodation as required.

Leverage data integrations using systems such as AWS Athena, Redshift, Cognos, SharePoint and Power BI Services among other technologies
Propose data development optimizations and implement to deliver solutions and enhanced reporting capabilities
Provide timely and consistent updates and recommendations on dataflow and data pipeline operational issues and improvements to team and partners
Become a domain authority of data sources used by the Analytics team (Sales Force, Adobe Analytics, Redshift, internal databases, etc.) along with reports built
Consult data source owners to understand and detail data collection and reporting processes
Champion data quality and integrity through proactive sleuthing and oversight
Establish alerts for data connection issues both technical and beyond encouraged thresholds (anomalies)
Influence and maintain strong and balanced team culture through active involvement, inclusion, and leadership!
Proactive self-education and contribution to advance our analytics practices, methods, and strategy