Data Engineer/Analyst

Key Skills

Adobe Analytics, Data Analytics, Data Engineering, Database, Design, ETL/ELT technologies, Github, Microsoft-Excel, NoSQL, Python Programming, Scrum Agile Methodology, SQL

Job Description

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 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

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.

Compensation and Benefits

The salary range estimated for this position based in New York is $75,800.00–$120,000.00.

This position may also be eligible to receive a variable annual bonus based on company, team, and/or individual performance results in accordance with company policy. We offer a comprehensive Total Rewards package that our U.S. colleagues and their families can count on, which includes:

• A choice of national medical and dental plans, and a national vision plan, including health incentive programs

• Employee assistance and family support programs, including commuter benefits and tuition reimbursement

• At least 120 hours paid time off (PTO), 10 paid holidays annually, paid parental leave (3 weeks for bonding and 8 weeks for caregiver leave), accident and life insurance, and short- and long-term disability in accordance with company policy

• Retirement and savings programs, such as our competitive 401(k) U.S. retirement savings plan

• Employees’ Stock Purchase Plan (ESPP) offers eligible colleagues the opportunity to purchase company stock at a discount

For more information on our benefits, please visit: https://jobs.thermofisher.com/global/en/total-rewards