The Role 

As an Analytics Engineer at Lakeside, you will leverage our unique set of clean and richly structured data to find new and creative ways to gain more insight into the data we collect by building actionable, use case driven content and solutions that will enhance our product and support IT professionals. This individual should be comfortable working in a global, fast-moving team where personal responsibility is counted upon. Experience with end-user computing, L3 support, and SQL is desired. 

What You’ll Do 

The core functions of this role include: 

• Designing solutions to aid customer IT departments from the L1 support desk all the way to the C-Suite
• Building dashboards using SQL to visualize data insights. Includes some CSS and basic UX/UI design 
• Building automations to proactively solve customer IT problems. Creative solutions using PowerShell, C#, or similar 
• Building sensors to directly monitor and detect issues on the end-point using SQL and our internal sensor syntax language 
• Taking ownership of your projects from design all the way through build and continued support. 
• Building effective relationships at all levels of the organization and always maintaining a high level of customer service 

What You’ll Bring to Lakeside 

The key requirements for this role include: 

• Knowledge of end-user computing concepts, common IT problems, software, and hardware
• Experience providing high-level support or delivering solutions to large enterprises 
• Knowledge of Windows OS environments (MacOS, Linux is a bonus)
• Advanced knowledge of SQL
• Understanding of virtualization technologies such as VMware, Citrix and Microsoft
• Some experience or familiarity with PowerShell, C#, Python is desired
• Excellent written/verbal communication, organization, presentation, and project management skills
• Ability to conduct meetings, document actions and follow up with all parties involved
• Ability to work on a global, remote team
• Willingness to learn and adapt in a fast-paced environment
• Ability to work individually and within a highly collaborative team setting 
• BA/BS degree or higher in computer science, engineering, or related quantitative field

Additional Details

• Location: Remote or Hybrid with preference for Ann Arbor. If fully remote, must be located in Eastern Standard Time

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