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Job Type
Job Details
Posting Type
Hybrid/Remote
Job Overview
The Application Analyst provides technical support aligned with a specific product vertical to a mix of technical and non-technical customers by diagnosing, troubleshooting, repairing and debugging complex software and/or networked systems. You will have frequent phone and email interaction with our customers and require the development of in-depth technical product, SQL, network and server knowledge and exceptional customer service skills.On a daily basis, the Application Analyst creates, resolves, and maintains tickets, while working within their product vertical to resolve issues and escalate tickets to other teams and verticals. It is essential that the Application Analyst maintains accurate records of all activities and interactions in Salesforce and responds to clients within identified service level agreements. You will inform management of important issues regarding personnel, performance, client perception, and project statuses, and work with colleagues to ensure quality service. This role will report to the Manager of Customer Support. The working hours are Monday-Friday with a 9-hour shift ranging from 7am-7pm Central US (United States) Time.
Job Description and Requirements
Your Role in Action: Technical Skills/Responsibilities
Use SQL applications and tools to run basic SQL queries
Respond to client questions, problems, and work requests on a daily basis
Develop an expertise in company products and services and the initiative to take an active role in sharing this knowledge with customers
Partner with senior level team members as needed to troubleshoot and resolve customer incidents
Have or develop the experience to capably perform the Application Analyst position responsibilities
Policy and Procedure Skills
Follow appropriate procedures for creating, categorizing, updating, escalating, transitioning, and resolving tickets. Attention to proper detail when coding and documenting tickets is essential for accurate reporting and maintaining historical ticket data
Monitor assigned open tickets, contact customers, and update tickets on a timely basis
Provide responsive support to clients during normal shift hours, when scheduled for early and late shifts, and as identified for on-call or as requested by management. Early/Late shifts and on-call could be required of the qualified Application Analyst staff
Complete all daily tasks and projects
Track time daily
Expectations of the Role
Is flexible to work a 9-hour Monday-Friday shift ranging from 7am-7pm CST with a 1-hour meal break, on-call schedule, or other time frames specified by management
Able to work an 8/9-hour Monday-Friday shift from 8am-5pm CST with meal break for the first 3 months of onboarding
Provide excellent customer service using the communication methods designated by Relativity
Demonstrate initiative to learn new skills, such as SQL applications and tools to run basic SQL queries
Meet identified goals regarding customer service tech support metrics
Commitment to and consistent demonstration of core company values
Your Skills/Qualifications
Customer support experience
Client-focused and ability to understand expectations
Direct experience supporting clients as a primary contact or lead using phone and email
Experience troubleshooting complex issues
SQL and Windows platform experience
Travel 10% of the time
Relativity is committed to competitive, fair, and equitable compensation practices.
This position is eligible for total compensation which includes a competitive base salary, an annual performance bonus, and long-term incentives.
The expected salary range for this role is between following values:
$54,000 and $80,000The final offered salary will be based on several factors, including but not limited to the candidate's depth of experience, skill set, qualifications, and internal pay equity. Hiring at the top end of the range would not be typical, to allow for future meaningful salary growth in this position.
At Relativity, we build innovative and comprehensive tools for making sense of unstructured data. When more people can find the facts in mountains... Read more