Top Data & Analytics Jobs in CO

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.

Lead marketplace analytics for Affirm’s two-sided ecosystem by optimizing monetization, supply, demand, pricing, profitability, and user experience. Build KPI dashboards, analyze marketplace and affiliate performance, conduct experiments, evaluate incentives and placement, and perform loan-level profitability analyses. Partner cross-functionally with Product, Engineering, Sales, Client Success, and Marketing to improve merchant value, consumer engagement, conversion, and sustainable GMV growth.

Design and develop data pipelines, integrations, transformations, and infrastructure across AWS, Snowflake, Airflow, and MySQL. Troubleshoot warehouse issues, validate data quality, improve pipeline reliability, and translate business needs into data engineering solutions. Interpret technical findings for client recommendations, manage workstreams, review junior team members’ work, and provide technical guidance across managed services engagements.