Lead Analytics Engineer

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 hands-on Lead Analytics Engineer to take ownership of our data function. As our first dedicated analytics hire, you'll own the pipelines, models, metric definitions, reporting, and data quality that our operations teams and leaders rely on to run the business.

In this role, you'll work closely with leadership and cross-functional teams to turn operational questions into trusted data products, establish consistent definitions for the metrics that matter, and automate reporting that is currently assembled manually.

This is a hands-on builder role, not a people-management role. You'll write SQL, build and operate pipelines, and create models yourself. At the same time, you'll have the autonomy to determine priorities, establish analytics standards, and challenge or clarify requests when the underlying business question or data definition is unclear.

This role is ideal for an experienced analytics professional who is energized by ownership, ambiguity, and the opportunity to build a trusted analytics capability from the ground up.
What You'll Do:

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Own the Data Architecture: Own, maintain, optimize, and scale our Snowflake data warehouse, transformation layer, and ETL/ELT pipelines, making pragmatic architecture decisions as the business grows.

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Build and Operate Integrations: Stand up and own reliable ingestion from systems such as NetSuite, Jira/service platforms, and custom applications. Monitor pipelines, troubleshoot failures, and ensure data arrives accurately and reliably.

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Drive Business Intelligence: Own our BI layer (currently utilizing HEX ), with the opportunity to evaluate and migrate to tools like Tableau or Looker as we scale.

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Partner with Leadership: Work hand-in-hand with the COO to translate operational goals into data models, dashboards, and actionable insights.

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Own Data Quality & Governance: Establish trusted metric definitions, documentation, testing, and data-quality standards. Maintain the metric dictionary and clearly communicate when data is incomplete or should not be relied upon.

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Automate Operational Reporting: Take ownership of recurring operational reporting, ad hoc analysis, SLA reporting, and client review data. Build repeatable, automated solutions that replace manual reporting processes.

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Experiment & Innovate: Stay creative. We want someone who suggests new tools, tests experimental models, and constantly looks for better ways to solve problems.

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Cross-Functional Partnership: Act as the primary data consultant for operations, finance, and engineering leaders. Translate their real-world operational challenges into data models and actionable, automated dashboards.

Roles & Responsibilities

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The "Hybrid" Professional: You sit comfortably at the intersection of Data Engineering (building pipelines, data modeling) and Data Analytics (BI, dashboards, telling stories with data).

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Meticulous & Detail-Ori