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KM
Kelly Mitchell
Data Analyst IV
Career Insights for Data Analyst
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Based on Colorado data
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What they do
A Data Analyst develops computer programs to analyze large customer information databases for companies and organizations. Analyzes data to identify patterns and provide information relevant to a particular business, industry or field; analysis may be used for marketing, or to detect fraud in financial transactions, or for research. Develops computer programs to protect confidential customer information.
$79,490 / year median in Colorado
+18% projected growth
Job Description
Job Summary Our client, a leading communications provider, is seeking a Senior Data Analyst to join their team. This position is located in Greenwood Village, Colorado. Were looking for a highly analytical Senior Data Analyst to join a small, highly tenured team responsible for improving the reliability and performance of customer premise equipment (CPE), including modems and routers. This team partners closely with engineering and connectivity experts to investigate complex issues, identify trends within massive telemetry datasets, and drive improvements that directly impact the customer experience. This is an ideal opportunity for someone who enjoys solving difficult problems, digging into data to uncover root causes, and using analytics to influence technical decisions. Success in this role requires curiosity, strong SQL skills, and the ability to translate complex data into actionable insights. Core Responsibilities Analyze large-scale telemetry data to identify trends, anomalies, and opportunities to improve modem and router reliability Investigate activation and connectivity issues through deep data analysis and long-term problem investigation Write and optimize complex SQL queries using joins, CTEs, window functions, aggregations, and other advanced techniques Work with large datasets and understand how data models, schemas, and relationships support accurate analysis Partner with engineering, networking, and product teams to troubleshoot issues and validate findings Build dashboards and visualizations that clearly communicate insights and support data-driven decision making Develop scripts and automation to improve analytical workflows and eliminate repetitive manual tasks Monitor data quality, ETL processes, and pipeline health to ensure reliable reporting and analysis Balance multiple investigations and priorities in a fast-paced, collaborative environment Required Skills/Experience (Must-Haves) 2+ years of experience in a Data Analyst, Business Analyst, or similar analytical role Advanced SQL skills, including: Complex joins Common Table Expressions (CTEs) Window functions Aggregations Query optimization Strong understanding of relational data models, database schemas, normalization, and how data relates across systems Experience working with large datasets and data warehouses Knowledge of ETL processes, data pipelines, and data quality concepts Experience creating dashboards and visualizations that communicate business insights Programming or scripting experience with Python, Java, or another procedural language Experience automating repetitive analytical tasks Preferred Skills/Experience (Nice-to-Haves) Experience with AWS Athena, Amazon Redshift, or other cloud-based analytics platforms Tableau, Power BI, or advanced Microsoft Excel (Pivot Tables) experience Experience with Git or another version control system Networking knowledge, including