Top Data & Analytics Jobs in CO

Build and maintain production data pipelines, Airflow DAGs, Snowflake infrastructure, and Data Vault 2.0 models. Ensure data quality, observability, security, governance, reliability, and cost efficiency through automated testing and CI/CD. Lead technical projects end-to-end, collaborate with stakeholders, and support SOX-relevant reporting while developing expertise in commercial insurance data and processes.

Leads healthcare analytics projects using clinical, claims, pharmacy, and eligibility data to evaluate cost, utilization, quality, and program performance. Develops statistical analyses, predictive models, dashboards, and reporting solutions; identifies optimization opportunities; partners with clinical, product, engineering, and business teams; presents recommendations to stakeholders; and mentors junior analysts.

Supports data analysis, monitoring, and automation projects within AI Operations. Analyzes operational data, prepares datasets, identifies improvement opportunities, assists with automation that reduces manual monitoring, documents practices, gathers requirements, shares findings, and communicates technical work to nontechnical audiences.

Paid 11-week internship supporting CPE observability for a large WiFi device fleet. Responsibilities include building dashboards in Splunk, Datadog, and Grafana; writing SPL queries; analyzing telemetry and firmware performance; configuring monitoring and alerts; developing Python automation; prototyping AI/LLM observability tools; and presenting data products to cross-functional stakeholders. The intern will complete a capstone project and participate in team planning, mentorship, networking, and professional development.

Paid, full-time 11-week business analyst internship supporting department projects and team initiatives at Spectrum. The intern will analyze business challenges, ask investigative questions, help teams understand root causes, and contribute to capability improvements. The program includes professional development, mentorship, networking, community service, cross-functional projects, and presentations. Candidates must be rising seniors pursuing a bachelor's degree, maintain at least a 3.0 GPA, travel locally to program events, and work in the U.S. without sponsorship.

Define and govern enterprise-scale data architecture across batch, streaming, warehouse, lakehouse, transactional, and AI use cases. Establish standards for data quality, lineage, access, cataloging, governance, observability, and SLAs. Architect AI-enabled workflows, resolve complex architecture issues, influence roadmaps, and mentor engineers through hands-on technical leadership. The role requires 15+ years of software, data engineering, or architecture experience and expertise in large-scale data platforms and modeling.

Leads business performance analytics and reporting initiatives, developing Power BI dashboards, KPI frameworks, scorecards, forecasts, and actionable insights. Partners with business leaders to translate needs into reporting solutions, performs root-cause and trend analysis, validates data, establishes governance standards, and mentors analysts. The role combines hands-on reporting development, analytical problem-solving, performance measurement, and cross-functional initiative leadership.

Implement and embed data and AI governance across Databricks and Snowflake platforms. Partner with delivery pods to automate quality gates, lineage, monitoring, and risk triage. Translate policy into technical controls, build observability for data drift and distribution, and optimize governance processes to accelerate compliant deployments.

Build and maintain cloud cost monitoring, alerting, and optimization tooling. Develop automation, cost allocation/tagging, data pipelines, dashboards, and integrations with billing APIs. Support FinOps processes, implement cost guardrails, troubleshoot cost systems, participate in on-call rotation, and collaborate with senior engineers and product teams to drive cost-efficient infrastructure and reporting.

Lead revenue analytics by developing business cases, dashboards, KPI frameworks, experiments, and automated analytics solutions. Partner with client success, marketplace, merchants, and cross-functional teams to evaluate performance, guide go-to-market decisions, quantify product value, and scale data-driven execution. Serve as the analytics subject matter expert while translating structured and unstructured data into actionable recommendations and compelling stakeholder narratives.

Lead customer listening and Voice of Customer programs, including NPS, CSAT, CES, surveys, and interviews. Analyze qualitative and quantitative customer data to identify drivers, trends, pain points, and opportunities. Present insights to executives and cross-functional teams, facilitate action planning, and drive systemic customer experience improvements. Evaluate AI tools for sentiment analysis, theme extraction, and customer research while helping build a data-driven, customer-centric culture.

Lead end-to-end COGS and gross margin analysis for hardware and software products, model cost-saving scenarios, answer ambiguous executive questions, partner with data engineering/finance/product, build reliable datasets and analytical frameworks, and present recommendations to C-suite stakeholders.