Data Analyst

ComputerCare· Remote · United States·5mo ago

$80k–$115k

Full-timeRemote

ComputerCare has spent more than 20 years building something rare in the IT world: a company where technical excellence and genuine human connection are valued equally. We're the trusted partner that IT leaders turn to when technology can't afford to fail. As a woman-owned business serving innovative companies worldwide, we combine certified technical expertise with a human approach. Whether it's managing complex device lifecycles for global teams or performing authorized repairs for Apple, Lenovo, HP and Dell devices, our work directly impacts how thousands of people stay productive every day. We never outsource our work because we believe in accountability, quality, and building lasting relationships—with our clients and as a team.

If you're passionate about technology, take pride in solving real problems, and want to be part of a company that values both technical excellence and the people behind it, ComputerCare is where you belong.

Come join us in our mission of being the Human Side of Hardware!

We're building our data capabilities and looking for a curious, analytical, and motivated Data Analyst to help us grow. This is an excellent opportunity for someone who wants to gain hands-on experience working with business operations, technology, and data systems while learning how data supports real-world engineering and operational processes.

In this role, you'll work closely with leadership and cross-functional teams to help turn data into actionable insights. You'll assist with reporting, dashboard creation, data quality initiatives, and analysis that helps improve inventory management, operational efficiency, and customer outcomes.

If you're passionate about data, enjoy solving problems, and are interested in learning more about how engineering, operations, and technology come together, we'd love to meet you.

This role is ideal for someone who enjoys working with data, wants to develop their technical skills, and is excited to learn how analytics can support operational excellence and engineering-focused environments.