Senior Data Analyst

Contract Type : W2 Long-term contract with benefits. Possibility of extension or conversion to FTE. 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. 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. #J-18808-Ljbffr Brooksource