Job Description

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

• 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.

Nice‑to‑haves

• 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.

How you’ll work

• 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.

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