Advisor, Data Analytics

Key Skills

Apache Hadoop, C Programming, C++, Data science techniques, Java Programming, Machine learning techniques, MapReduce, Python Programming, PyTorch, R Programming, Scala Programming, SQL, TensorFlow

Job Description

What Data Governance contributes to Cardinal Health

Data Governance is responsible for the disciplined execution of governance programs and practices across all data.

• Applies knowledge and ability to define and/or operate against the vision/strategy of data and governance.
• Demonstrates an understanding of data governance modeling, tools, and practices
• Identifies and manages data quality in alignment with the needs of the business and/or industry
• Ensures complete protection of data with all policies as it relates to visibility and distribution
• Identifies and communicates insights and potential upstream/downstream impacts and opportunities to customers, business and/or enterprise leaders
• Exemplifies effective communication and change management skills to varying audiences

Accountabilities in this role

Data Quality Technology Analyst will be part of the Enterprise Data Organization and function as data science professional responsible for advancing and maturing data quality capabilities in Enterprise Data team as well partnership with Data Owners, Data Stewards, and other stakeholders to:

• Build, Maintain, and Enhance custom data quality technology solution in line with the DQ strategy
• Build, Maintain, and Enhance data quality rules
• Capture and maintain documentation of work processes
• Build, Maintain and Enhance data defect database
• Build, Maintain and Enhance data quality workflows and jobs
• Communicate project updates, requirements, data-driven insights, etc. to Data Quality leader and team

Qualifications

• Bachelor’s Degree in related field, Industry Certifications, and/or work experience
• 4+ years professional experience preferred
• Ability to collect, synthesize, and interpret information from multiple sources as well as provide easy to understand recommendations
• Experience in Data Governance and Quality Technologies (Informatica, SAP, Collibra, others)
• Experience with Google Cloud Platform (Google Console, Project Administration, GCS, Dataproc, Big Query, Data Studio) required
• Experience with data management, engineering and analysis leveraging data science tools (Alteryx, Tableau, PowerBI or similar) and Scripting Languages (Python, SQL, etc.) required
• Strong experience of continuous improvement, Agile, DevSecOps delivery, and continuous learning required
• Experience with Machine Learning development and deployment using GCP technologies like K8s, Recommendation AI, Document AI, Vision, Labeling, etc. preferred
• Strong knowledge of Cardinal Heath business processes and systems preferred
• Presentation, communication, planning skills experience

What is expected of you and others at this level

• Applies comprehensive knowledge and a thorough understanding of business goals along with technical capabilities to execute varied tasks and projects
• Plan and execute deliverables independently and in collaboration with/across organizations within timelines
• Contributes to the development of team policies and procedures
• Works on complex projects of large scope
• May act as a mentor to less experienced colleagues