Senior Data Analytics Specialist

The Ohio State University
•Onsite

About The Position

Serves as a technical contributor for complex data and analysis work to support the various strategic health initiatives at The Ohio State University Wexner Medical Center. The Senior Data Analytics Specialist will be a critical thinker and responsible for providing descriptive, diagnostic, inferential, and predictive analytics for various business areas, including but not limited to strategic planning, operations, and performance management, human resources, financial management, supply chain, marketing, or process improvement. The Specialist position will help carry out the plans of large, complex, and key data analytics programs and projects to support and enhance the mission and strategic objectives of the OSU Wexner Medical Center; execute the initiation, planning, execution, and closing phases of projects involving the integration of multiple data sources, utilization of multiple systems, and collaborative efforts across business unit functions. The Specialist will be required to effectively communicate critical findings to peers and group leadership and assist in presenting the results to a broader audience if applicable. Must possess solid research skills, excel at written and verbal communication, and have proven to manage multiple assignments of various depths and duration.

Requirements

  • Bachelor’s degree in Computer Science, Data Analytics, or a related field.
  • 4 years of healthcare reporting and analytics experience.
  • Demonstrated knowledge of data warehousing, cloud technologies, BI/analytics, and data management.
  • Strong organizational skills.
  • Strong communication skills.
  • Strong problem-solving skills.
  • Strong customer service skills.
  • Ability to lead projects.
  • Ability to work collaboratively.
  • Ability to communicate effectively with both technical and non-technical stakeholders in a dynamic environment.

Responsibilities

  • Provide descriptive, diagnostic, inferential, and predictive analytics for various business areas.
  • Carry out plans for large, complex, and key data analytics programs and projects.
  • Execute the initiation, planning, execution, and closing phases of projects involving data integration, multiple systems, and cross-functional collaboration.
  • Effectively communicate critical findings to peers and group leadership.
  • Assist in presenting results to a broader audience.
  • Manage multiple assignments of various depths and duration.

Benefits

  • An array of retirement plan options, each with a generous employer contribution.
  • Affordable health insurance options, including dental, vision and prescription coverage that begin on day one.
  • Paid vacation and sick leave.
  • Short and long-term disability.
  • Paid parental leave.
  • Opportunity to get the most out of the Public Service Loan Forgiveness program.
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