Junior Data Analyst Jobs

Job Title: Data Analyst

Location: Remote

Duration: 12 Months

Pay Rate: $30/hr on W2

:

Client Support Data Analyst - Monday through Friday: 8:00-5:00 pm with some flexibility

Job Details:

What will the Client Support Analysts do? Retrieve, organize and analyze data to identify trends that will help improve operations (80%)

Examples:

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

Other responsibilities (20%):

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

Preferred Experience

• Solve issues, while escalating more complex issues to appropriate staff.
• 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).
• The Client Support Data Analyst will develop and provide business insights to help leaders make better decisions.
• In this position, you'll demonstrate familiarity with business technology concepts, data management and decision support.
• 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.
• Drive reporting through the use of available technology (Tableau, Power BI, Alteryx, SAP) and develop technical solutions for an effective, efficient data analytics platform.
• Develop, with colleagues, detailed understanding of the business, and offer mentorship or technical solutions to solve business problems.
• Facilitate data extraction, collection, cleansing and preparation for consumption.
• Conduct analyses of performance variables, data management, measurement and analytics, data design principles, concept and practices.