Senior Data Analyst

Brooksource; Denver (CO); In loco; USD 96.000 - 138.000; Tempo pieno

Vantaggi offerti da questo lavoro

Benefits

Descrizione del lavoro

Brooksource is seeking an analytics professional to join a high‑impact team focused on competitive intelligence in mobile and telecom. You will explore large datasets, build end‑to‑end proofs of concept, and present insights to Stamford‑based stakeholders, leveraging PySpark, AWS EMR, and Tableau for data visualization.

The role combines analytics with light data engineering, offering a long‑term W2 contract with benefits.

Competenze

• Proficient in SQL for exploring ambiguous datasets and validating results.
• Proficient in Python (PySpark) and familiarity with big‑data concepts (HDFS).
• Strong analytical mindset and curiosity; able to propose data-driven approaches.
• Excellent communication; able to present insights to stakeholders.
• Knowledge of telecom/mobile domain (5G, devices, MVNOs) is desirable.
• Experience with GIS data and map visualizations in Tableau.

Mansioni

• 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; collaborate with ETL teams to productionize pipelines.
• Present findings to Stamford‑based stakeholders and the marketing org’s competitive intelligence team.
• Use PySpark/AWS EMR for data processing; leverage HDFS where relevant.
• Create visualizations (Tableau or map‑based) and collaborate with GIS when solutions move to production.
• Handle ad‑hoc requests to ramp on data and tools, then contribute to the 2026 mobile insights roadmap.

Conoscenze

SQL

Python (PySpark)

Big data concepts (HDFS)

Analytical mindset

Communication

Telecom domain knowledge

Tableau

GIS data

AWS EMR

Strumenti

Tableau

Descrizione del lavoro

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.