Senior Data AnalystBrooksource • Denver, CO, US
Senior Data Analyst
Brooksource • Denver, CO, US
[job_card.variable_hours_ago]
[job_preview.job_type]
- [job_card.full_time]
[job_card.job_description]Strong SQL : comfortable exploring ambiguous datasets, writing complex queries, and validating results. Python (PySpark), familiarity with big-data concepts (HDFS) Analytical curiosity : self-starter who can figure out "what's possible" with the data and propose approaches. Communication : confident presenter who can own the narrative and deliver insights directly to stakeholders. Telecom / mobile domain knowledge : 5G, devices, RF concepts, MVNO handoffs, and Wi-Fi. Tableau for dashboards; experience working with GIS data and map visualizations. Experience running jobs on AWS EMR. AWS exposure is a bonus. You'll operate in a collaborative analysis group (5 FTEs + 1 contractor), share progress weekly, and partner closely with adjacent teams (ETL / GIS) when POCs graduate to production. Expect autonomy, support, and direct impact—most analysts present their own work to decision-makers.
Title : Data Analyst – Competitive Mobile Insights
Location
Greenwood Village, CO (Onsite 4 days / week, 1 remote day)
Contract Type
W2 Long-term contract with benefits. Possibility of extension or conversion to FTE.
Pay : $70-$75 / hr (negotiable depending on experience)
Why this role matters
Join a high-impact analytics team that helps our client understand competitor moves in mobile and telecom. You'll explore large datasets, uncover signals (e.g., network / deployments), and present your findings directly to stakeholders in Marketing's Operational Competitive Intelligence group. If you love turning ambiguous data into clear, actionable stories—and enjoy a blend of analytics plus light data engineering—this is for you.
What you'll do
- Dive into large datasets (SQL-heavy) to detect competitive patterns and answer "what's happening and why" across mobile / telecom.
- Build end-to-end proofs of concept—ingest, analyze, and present insights—then partner with ETL teams to productionize successful pipelines.
- Present your findings to Stamford-based stakeholders and the marketing org's competitive intelligence team.
- Use PySpark / AWS EMR for data processing; leverage HDFS where relevant in the big-data ecosystem.
- Create occasional visualizations (Tableau or map-based) and work with GIS data ; collaborate with the GIS team when solutions become production apps.
- Start with ad-hoc requests to ramp on their data and tools, then contribute to the 2026 mobile insights roadmap.
What you'll bring
Must-haves
Nice-to-haves
How you'll work
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