Top Data & Analytics Jobs in CO

Leads applied AI and health data architecture initiatives for payer clients. Designs cloud-native platforms, pipelines, data models, integrations, and modernization roadmaps across AWS, Azure, Databricks, and Snowflake. Oversees data quality, governance, anonymization, performance optimization, and legacy migrations while advising stakeholders on AI-ready architectures. Manages multi-team delivery, resolves technical issues, presents solution tradeoffs, and coaches practitioners.

Leads the strategic direction of data initiatives, governance, and decision-making frameworks. Establishes growth and innovation strategies, manages transformative data projects, maintains executive client relationships, mentors leaders, promotes innovation, collaborates across departments, and ensures adherence to professional data-management standards. The role also supports business development and applies modern cloud architectures, integration patterns, big data engineering, advanced analytics, and AI/ML capabilities.

Lead business intelligence for Customer Experience by building trusted data pipelines, models, governance practices, monitoring systems, and dashboards. Partner with CX leaders and technical teams to define metrics, investigate customer outcomes using advanced statistics, detect anomalies with AI, and improve data quality. Manage high-impact analytical projects independently, communicate findings to technical and non-technical audiences, establish AI-assisted analytics validation standards, and mentor data practitioners.

Build and maintain production data pipelines, dbt models, Airflow workflows, and governed datasets supporting People Analytics. Integrate Workday and other HR systems into reliable Snowflake data products, implement data quality monitoring, row-level security, semantic models, and AI agents. Partner with engineers, analysts, data scientists, and business stakeholders to deliver trusted data solutions, communicate technical trade-offs, enforce governance, and mentor other engineers.

Build and maintain production data pipelines, curated datasets, dashboards, automation, and event-based data structures using Databricks and Airflow. Ensure data quality, reliability, governance, testing, CI/CD, and anomaly detection. Partner with decision science and business intelligence teams on modeling and analytics initiatives, create self-service data patterns, integrate AI-assisted tooling, modernize data services, lead complex projects, and mentor associate engineers.

Leads complex data platform initiatives from discovery through delivery, translating business needs into technical requirements, user stories, and documentation. Partners with business, analytics, engineering, and architecture leaders; facilitates Agile ceremonies; supports roadmap development, data quality standards, root cause analysis, and validation procedures. The role also mentors Business Analysts, establishes documentation and analysis best practices, and represents the data platform team in enterprise planning and change initiatives.

Own the people analytics roadmap, build reliable HR data pipelines and reporting, and deliver workforce, talent, and process insights. Analyze employee lifecycle operations, measure performance, identify automation opportunities, and develop dashboards and predictive analyses for senior leaders. Partner across People, HRIS, IT, Finance, Legal, and data teams to improve data governance, privacy, operational efficiency, and employee experience. Establish analytical standards and coach People colleagues on data-driven decision-making.

Develop and maintain customer-facing reports, dashboards, data models, and reusable datasets. Use advanced SQL to investigate customer questions, validate metrics, resolve discrepancies, and improve data quality. Partner with Customer Success, Product, Data Science, and Data Engineering to standardize reporting, support QBRs and value realization, and convert recurring analyses into scalable, automated data capabilities.

The SI Business Analyst will drive integration between business needs and technical delivery, focusing on insurance and healthcare systems. Responsibilities include capturing requirements, performing gap analysis, designing workflows, and leading cross-functional teams to optimize system performance and support digital transformation initiatives.

Validate and review CO APCD-derived data products using SQL and visualization tools, perform output comparisons and project-level analyses, follow quality control standards, document findings, and communicate results to technical and non-technical stakeholders while supporting continuous improvement of data QA processes.

Supports the Mobile Device Data and Operations team by collecting, enriching, and distributing product data to catalogs and vendor partners. Develops workflow designs using KNIME or Alteryx, works with Oracle and Snowflake databases, and deploys application tools on AWS. The internship also includes professional development, mentorship, networking, community service, and cross-functional projects.