Data Analyst - 100% Remote
The Data Analyst role involves analyzing internet and Wi-Fi telemetry data to support product and business decisions by collaborating with engineering, product, marketing, and business intelligence teams. The position requires strong SQL skills, the ability to translate business questions into actionable insights, and developing visualizations and automated data pipelines within an AWS environment. This hybrid contract role emphasizes code reviews, stakeholder communication, and working in a dynamic, fast-paced setting.
About Careertakes
👉 Important disclosure: Careertakes is a third-party recruiting platform supporting this hiring process. If selected, you will be employed directly by our client, Data Infrastructure and Analytics and IT System Data Services.
Applicants for this role may also receive access to additional matched opportunities through the Careertakes platform.
What You’ll Do
- Analyze internet and Wi‑Fi infrastructure telemetry data to support product decisions and stakeholder needs.
- Translate broad or unclear business questions into structured analytical plans and deliverables.
- Write, review, and maintain production‑ready SQL and ETL code for automated data pipelines in the client’s AWS environment.
- Participate in daily code reviews — present your work and provide constructive feedback on teammates’ code.
- Build data visualizations and analytical summaries for product, engineering, marketing, and business intelligence teams.
- Manage ad‑hoc analyses from initial scoping through analysis, visualization, and handoff to product and ETL teams.
- Communicate findings clearly to technical and non‑technical stakeholders; document methods and assumptions.
Required Qualifications
- 3+ years experience as a Data Analyst or in a similar analytics role.
- Strong, hands‑on SQL skills — able to write complex queries and contribute to production-level code reviews.
- Experience with at least one business intelligence or visualization tool (Tableau, Looker, Power BI, etc.).
- Proven ability to turn ambiguous business questions into clear analytical frameworks and actionable insights.
- Strong written and verbal communication skills for presenting results to cross‑functional audiences.
- Comfortable working in a fast‑paced environment with changing priorities.
Preferred Qualifications
- Experience with Tableau is preferred.
- Familiarity with Looker, Google Data Studio, Power BI, or similar visualization platforms.
- Prior experience working with telemetry or infrastructure datasets.
- Experience in cloud or big data environments; AWS experience is an advantage.
- Experience preparing production-ready code for automated pipelines and participating in CI/CD processes.
Location & Work Arrangement
- Location: Greenwood Village, Colorado (onsite presence required).
- Work arrangement: Four days onsite and one day remote per week.
- Candidates must be able to commute to the Greenwood Village site as required.
Employment Type & Compensation
- Employment type: Long‑term contract (full‑time).
- Hourly rate: $65–$70 per hour.
- The stated pay range is a guideline and final offers may vary based on experience, education, skills, internal equity, and applicable legal requirements.
Benefits & Perks
- Medical, dental, and vision insurance.
- Health Savings Account (HSA) and Dependent Care FSA.
- Supplemental insurance options.
- 401(k) plan with company match (subject to eligibility).
- Paid time off, sick time, and paid company holidays.
- Employee Assistance Program (EAP) including virtual counseling and financial/legal support.
Why Candidates Like This Role
- Work with large telemetry datasets that directly inform product and engineering decisions.
- Daily collaboration with engineers, product managers, and domain experts.
- Opportunity to own analysis end‑to‑end and ship production‑ready analytics code in an AWS environment.
- Competitive contract pay and strong benefits package through the client.
Equal Opportunity & Hiring Transparency
Careertakes and our client are Equal Opportunity Employers committed to building a diverse and inclusive workforce. We prohibit discrimination or harassment of any kind. To support a fair and efficient hiring process, AI tools may be used to assist with application review or resume screening. These tools do not replace human decision-making. Final hiring decisions are made by people.
If you have questions about how your data is used, please contact us directly.
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