Data & Support Analyst

Position Title : Data & Support Analyst

Department : Software QA

Reports to : Manager of Engineering Quality and Support

Location : Remote (With a preference for the Tulsa, OK area)

Position Summary :

We are seeking an experienced Data & Support analyst to diagnose, analyze, and troubleshoot user reported issues within our systems. This role requires hands-on expertise with webapp support & troubleshooting to diagnose and resolve end user issues. The ideal candidate also brings some SQL knowledge to the table to help identify data related problems. As a tech startup, this role may require wearing many hats and encourages eagerness to learn new systems while we develop our support processes and procedures. We foster a collaborative, learning-oriented culture and encourage ownership, innovation, and professional growth.

Applicants for employment in the US must have work authorization that does not now or in the future require sponsorship of a visa for employment authorization in the United States.

Key Responsibilities :

• Define, analyze, and troubleshoot both internal and external end-user issues of our applications. This may include, but not be limited to environments such as databases, and webapps.
• Communicating with both internal and external stakeholders through ticketing systems (Such as Jira) and documenting those results
• Proactively communicating with members of leadership when potentially critical issues arise
• Utilize reporting tools (Excel, Jira) to track and document escalated issues

Required Skills and Qualifications :

Preferred Qualifications :

About SmartLight Analytics

SmartLight Analytics was formed by a group of industry insiders who wanted to make a meaningful impact on the rising cost of healthcare. With this end in mind, SmartLight works for self-funded employers to reduce the wasteful spend in their healthcare plan through our proprietary data analysis. Our process works behind the scenes to save money without interrupting employee benefits or requiring employee behavior changes.