Data Engineer II

As a member of the team at Cencora, your role is crucial in contributing to creating healthier futures for people and animals. By applying advanced statistical, computational, and analytical methodologies, you will generate insights that enhance healthcare quality, patient experience, and overall cost efficiency. Your responsibilities will include: - Identifying relevant internal and external data sources, such as sensor and smart-meter data, geo-location, and social media. - Integrating, analyzing, and interpreting business-level data from multiple systems, while exploring structured, semi-structured, and unstructured datasets. - Designing and implementing scalable, efficient, and automated processes for large-scale data analysis, predictive model development, validation, and operational deployment. - Manipulating, combining, and refining large datasets to prepare analysis-ready data, ensuring data quality, performing feature engineering, and driving continuous data improvement initiatives. - Monitoring and analyzing complex systems to diagnose issues and optimize key performance indicators continuously. - Supporting the development and publication of analytics-ready datasets to enable the creation of dashboards, statistical models, and analytical deliverables. - Providing end-to-end support on data-related solutions for internal stakeholders and external clients, including data design, ingestion, aggregation, and consumption. - Developing algorithms and writing efficient code for data processing and advanced analytics. - Creating experimental design frameworks to validate analytical findings or test hypotheses using statistically robust methodologies. - Collaborating with client-facing teams to understand business requirements and develop tailored analytical or data engineering solutions. - Supporting leadership with process improvement, team coordination, and conflict management activities. - Researching and integrating best practices for identifying data sources, conducting analysis, and improving analytical methodologies. - Exploring analytical approaches for complex business problems and executing solutions based on sound analytical strategies. - Conducting research on industry trends, techniques, and data partnerships to recommend enhancements to existing processes or the development of new ones. For this role, you should have over 3+ years of experience in data analytics and data visualization, with proficiency in integrating, analyzing, and interpreting business-level data from multiple sources. Additionally, hands-on expertise with Azure Synapse, Azure Databricks, Power BI, and SQL is required. Your educational qualification should include a Bachelors Degree in Statistics, Computer Science, Information Technology, or a related discipline. Cencora offers a range of benefits, and the company is committed to providing equal employment opportunities without regard to various factors. If you wish to request an accommodation during the employment process, please contact hrsc@cencora.com or call 888.692.2272. Apply now to be a part of our innovative company and help improve lives globally. As a member of the team at Cencora, your role is crucial in contributing to creating healthier futures for people and animals. By applying advanced statistical, computational, and analytical methodologies, you will generate insights that enhance healthcare quality, patient experience, and overall cost efficiency. Your responsibilities will include: - Identifying relevant internal and external data sources, such as sensor and smart-meter data, geo-location, and social media. - Integrating, analyzing, and interpreting business-level data from multiple systems, while exploring structured, semi-structured, and unstructured datasets. - Designing and implementing scalable, efficient, and automated processes for large-scale data analysis, predictive model development, validation, and operational deployment. - Manipulating, combining, and refining large datasets to prepare analysis-ready data, ensuring data quality, performing feature engineering, and driving continuous data improvement initiatives. - Monitoring and analyzing complex systems to diagnose issues and optimize key performance indicators continuously. - Supporting the development and publication of analytics-ready datasets to enable the creation of dashboards, statistical models, and analytical deliverables. - Providing end-to-end support on data-related solutions for internal stakeholders and external clients, including data design, ingestion, aggregation, and consumption. - Developing algorithms and writing efficient code for data processing and advanced analytics. - Creating experimental design frameworks to validate analytical findings or test hypotheses using statistically robust methodologies. - Collaborating with client-facing teams to understand business requirements and develop tailored analytical or data engineering solutions. - Supporting leadershi