Previous Job
Previous
Office/Administration - Data Analyst Lv2
Ref No.: 23-38112
Location: HOPKINS, Minnesota
Start Date / End Date: 05/01/2023 to 04/01/2024
Job Details:
  • What will the Client Support Analysts do? Retrieve, organize and analyze data to identify trends that will help improve operations (80%)

Examples:
  • Mine disparate data to seek Client Experience improvements
  • Validate client feedback through data analytics
  • Gauge adoption of services (e.g., MyGIT forms, (this is a portal for clients to submit requests)
  • Refine IT Field Services BI Site report to add structured data
  • Client Satisfaction Survey comment analysis
  • Client Effort Score data prep and analysis
  • Detect MyGIT (this is a portal for clients to submit requests) form changes or defects
  • Affirm reported metrics definitions
  • Data analysis for FS health checks
  • Ratify & mine value > 190,000 software licenses
  • Escalation data analysis. Refine report, PBI

Other responsibilities (20%):
  • Client Support operations: resolve tickets assigned to process new site contacts, new VIPs
  • Site contact program maintenance
  • IT (Field Services) Smart Spot/Roadshow assistance
  • Assist with support for ticket escalations

Preferred previous experience:
  • The Client Support Data Analyst 2 will develop and provide business insights to help leaders make better decisions.
  • You will partner with internal stakeholders and help execute a business technology strategy that improves compliance, meets requirements and drives efficiencies through standardization and innovation.
  • In this position, you'll demonstrate familiarity with business technology concepts, data management and decision support.
  • Facilitate data extraction, collection, cleansing and preparation for consumption.
  • Drive reporting through the use of available technology (Tableau, Power BI, Alteryx, SAP) and develop technical solutions for an effective, efficient data analytics platform. Respond to ad-hoc data requests. Ensure timely and accurate data models that provide management information and analysis of function performance (key performance indicators, metrics).
  • Conduct analyses of performance variables, data management, measurement and analytics, data design principles, concept and practices.
  • Develop, with colleagues, detailed understanding of the business, and offer mentorship or technical solutions to solve business problems. Solve issues, while escalating more complex issues to appropriate staff.
  • What will the Client Support Analysts do? Retrieve, organize and analyze data to identify trends that will help improve operations (80%)

Examples:
  • Mine disparate data to seek Client Experience improvements
  • Validate client feedback through data analytics
  • Gauge adoption of services (e.g., MyGIT forms, (this is a portal for clients to submit requests)
  • Refine IT Field Services BI Site report to add structured data
  • Client Satisfaction Survey comment analysis
  • Client Effort Score data prep and analysis
  • Detect MyGIT (this is a portal for clients to submit requests) form changes or defects
  • Affirm reported metrics definitions
  • Data analysis for FS health checks
  • Ratify & mine value > 190,000 software licenses
  • Escalation data analysis. Refine report, PBI

Other responsibilities (20%):
  • Client Support operations: resolve tickets assigned to process new site contacts, new VIPs
  • Site contact program maintenance
  • IT (Field Services) Smart Spot/Roadshow assistance
  • Assist with support for ticket escalations