> Markdown version of [/jobs/ext/3545066-data-analyst](https://www.wearedevelopers.com/jobs/ext/3545066-data-analyst). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Data Analyst - **Company:** Brooksource - **Location:** Greenwood Village, CO, United States (Remote available) - **Experience:** Experienced - **Salary:** $135,200.0 - $145,600.0 - **Contract:** Permanent contract - **Skills:** Amazon Web Services, Big Data, Cloud Computing, Code Review, Extract Transform Load (ETL), Data Visualization, Database Queries, Power BI, Standard Sql, SQL Databases, Tableau (Software), Wi-Fi Technology, Google Data Studio, Data Analytics, Looker Analytics, Data Pipelines - **Published:** September 30, 2026 - **Apply:** https://www.dice.com/job-detail/4cbb1f6b-c268-49e5-8c40-6956c71a71f0 ## About the Role · 3+ years of Data Analyst experience · Strong, hands-on SQL experience with the ability to write complex queries and work through production-level code reviews · Experience with at least one BI or data visualization tool (Tableau preferred; Looker, Google Data Studio, Power BI, or similar also considered) · Familiarity with cloud or big data environments (AWS experience is a plus) · Ability to translate vague business questions into structured, stakeholder-ready data deliverables · Strong verbal and written communication skills -- especially when presenting findings to non-technical audiences · Comfort working in a dynamic, fast-paced environment where priorities can shift and ambiguity is common ## Description As a Data Analyst, you will be embedded in a fast-moving, technically rigorous environment where your SQL skills and analytical thinking will directly influence product decisions across our client's internet and Wi-Fi infrastructure. The team provides telemetry insights, success metrics, and data-driven conclusions that engineering, product, and marketing teams depend on daily., * Participate in daily code reviews with your team -- both presenting your own work and providing feedback on others' code * Collaborate with internal subject matter experts to understand telemetry data and translate business questions into analytical frameworks * Build and deliver data visualizations and analytical summaries to product, marketing, engineering, and business intelligence stakeholders * Take ad hoc analyses through the full lifecycle: from initial stakeholder intake, through development and visualization, to product and in partnership with the ETL team * Work within client's AWS environment to prep and validate production-ready code for automated data pipelines * Attend standups and team syncs, contributing updates, flagging blockers, and staying engaged in the collaborative rhythm