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? Primary responsibilities: 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 expected 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 Experience requirements: Experience in taking requirements and understanding the needs of the business to solve 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. Here at the Open Data Science Conference we gather the attendees, presenters, and companies that are working on shaping the present and future of AI and data science. ODSC hosts one of the largest gatherings of professional data scientists with major conferences in the USA, Europe, and Asia. #J-18808-Ljbffr

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