Sr Analyst, Data Analytics

$78,100 - $111,500/Yr

Cardinal Health - Jefferson City, MO

posted 4 months ago

Full-time - Entry Level
Jefferson City, MO
Merchant Wholesalers, Nondurable Goods

About the position

The Data Engineering team at Cardinal Health plays a crucial role in ensuring that raw data is transformed into usable and accessible formats for the organization. This function is part of the broader Data & Analytics Function, which oversees the entire analytics life-cycle to identify, analyze, and present insights that drive business decisions and create competitive advantages. Data Engineering encompasses various specialties, including data acquisition, integration, and provisioning, which are essential for effective data management and utilization. In this role, Data Engineers collaborate closely with business stakeholders to address complex problems through data analytics. They apply a structured BI&A development methodology that includes defining, developing, validating, and implementing solutions tailored to business needs. This involves asking probing questions to translate those needs into effective reporting solutions, such as metric management, dashboards, and enterprise performance management systems. Data Engineers leverage their advanced knowledge of data analytics concepts and technical capabilities to manage a diverse range of projects, ensuring that data is not only accessible but also actionable for decision-making processes. The position requires familiarity with various tools, including Alteryx, Tableau, Google Cloud Platform (GCP), and Python, to facilitate data manipulation and visualization. Data Engineers are expected to apply their working knowledge of technical concepts to perform a variety of tasks, work on projects of moderate scope and complexity, and identify solutions to technical challenges. They operate under general guidance, with their work being reviewed for sound reasoning and accuracy, making this role integral to the success of Cardinal Health's data-driven initiatives.

Responsibilities

  • Collaborate with business stakeholders to solve complex problems through data analytics.
  • Apply BI&A development methodology to problem solving (Define, Develop, Validate, and Implement).
  • Ask probing questions to translate business needs to build and design reporting solutions (metric management, dashboards, enterprise performance management).
  • Apply advanced knowledge and understanding of data analytics concepts, principles, and technical capabilities to manage a wide variety of projects.

Requirements

  • 2-4 years of experience in data engineering or related field, preferred.
  • Bachelor's degree in a related field, or equivalent work experience, preferred.

Nice-to-haves

  • Experience with tools such as Alteryx, Tableau, GCP, and Python.

Benefits

  • Medical, dental and vision coverage
  • Paid time off plan
  • Health savings account (HSA)
  • 401k savings plan
  • Access to wages before pay day with myFlexPay
  • Flexible spending accounts (FSAs)
  • Short- and long-term disability coverage
  • Work-Life resources
  • Paid parental leave
  • Healthy lifestyle programs
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