Data Engineer III - Data Engineering
Qualifications
Experience Level: Mid Level
- Critical Thinking Detail Oriented Impact and Influencing Interpersonal Communication Multitasking Problem Solving Time Management
- Technical Skills Advanced Data Visualization Techniques Advanced Statistical Analysis Big Data Analysis Tools and Techniques Data Governance Data Management Data Modelling Data Quality Assurance Programming languages like SQL
- Python
- Tools Knowledge Business Intelligence Software like Tableau
- Power BI
- Alteryx
- QlikSense Data Visualization Tools Microsoft Office Suite Statistical Analytics tools (SAS
- SPSS3)
- What Cencora offersBenefit offerings outside the US may vary by country and will be aligned to local market practice. The eligibility and effective date may differ for some benefits and for team members covered under collective bargaining agreements.Full timeAffiliated CompaniesAffiliated Companies: AmerisourceBergen Services CorporationEqual Employment OpportunityCencora is committed to providing equal employment opportunity without regard to race
- religion
Full Job Description
About the Job:
Our team members are central to Cencora's mission of creating healthier futures. We are seeking a Data Engineer III to join our innovative company and help improve lives.
Responsibilities:
- Leverage advanced statistical and computational methodologies to deliver insights.
- Identify relevant data sources, including internal and external data.
- Integrate, analyze, and interpret business data from multiple sources.
- Establish scalable, efficient, and automated data processes.
- Manipulate and refine large datasets.
- Monitor and analyze complex systems to improve key performance indicators (KPIs).
- Develop and publish analytics-ready data.
- Provide support on all data-related solutions.
- Develop algorithms and write code for data analysis.
- Develop experimental design approaches.
- Identify trends and patterns in datasets.
- Work with client-facing teams to understand and develop solutions.
- Assist in process analysis and team building.
- Research industry trends and recommend changes.
- Explore analytical opportunities.
Qualifications:
- Bachelor’s Degree in Statistics, Computer Science, Information Technology, or related field.
Preferred Certifications:
- Advanced Data Analytics Certifications
- SAS Statistical Business Analyst Professional Certification
Experience: 4+ years of relevant experience, preferably in healthcare data analytics or data engineering.
Skills & Knowledge:
- Behavioral Skills: Critical Thinking, Detail Oriented, Impact and Influencing, Interpersonal Communication, Multitasking, Problem Solving, Time Management.
- Technical Skills: Advanced Data Visualization Techniques, Advanced Statistical Analysis, Big Data Analysis Tools and Techniques, Data Governance, Data Management, Data Modelling, Data Quality Assurance, Programming languages like SQL, R, Python.
- Tools Knowledge: Business Intelligence Software like Tableau, Power BI, Alteryx, QlikSense, Data Visualization Tools, Microsoft Office Suite, Statistical Analytics tools (SAS, SPSS3).
Cencora offers benefits, with variations outside the US depending on the country. Cencora is an equal opportunity employer committed to providing reasonable accommodations to individuals with disabilities.
Company
Cencora
Cencora, formerly AmerisourceBergen, is a global leader in pharmaceutical solutions. We connect manufacturers, providers, and patients worldwide to ensure access to vital therapies. Ranked #10 on the ...