Top Data & Analytics Jobs in CO

Lead BI analysis for the Trading team by analyzing large datasets, building dashboards, implementing reporting structures, and mentoring junior analysts to drive data-informed decisions for the trading platform.

Lead the Data Platform Engineering team owning ETL/reverse-ETL pipelines, replication, and production datastores. Define architecture, roadmap, standards (IaC, observability, schema contracts), mentor engineers, drive incident response and durable fixes, and partner on cross-team technical decisions and operational reliability for data correctness, completeness, and timeliness.

Lead architecture and implementation of scalable batch and streaming ETL/ELT pipelines, data services, and graph-serving models for Observability & Insights. Own technical strategy, drive performance and cost improvements, enforce data governance and observability, lead cross-team initiatives, participate in on-call and incident follow-through, and partner with product and engineering to deliver low-latency graph exploration at extreme scale.

Lead revenue-cycle performance analyses, diagnose root causes, quantify value (ROI/collections lift), and translate findings into pragmatic, stakeholder-ready recommendations. Partner cross-functionally to scope analyses, validate data, and drive strategic workstreams that inform product roadmap and client outcomes.

Build and maintain AI-driven billing and credit reports by migrating legacy workflows into automated pipelines. Use SQL, spreadsheets, BI tools, and generative AI to create recurring and ad hoc forecasting models, identify anomalies, and deliver executive-ready insights while partnering with cross-functional teams.

The eDiscovery Business Analyst II will manage eDiscovery tasks, work with legal teams, utilize eDiscovery tools, and support technology projects while ensuring compliance with legal data handling practices.

Support CX operations by performing deep-dive call analysis using AI tools, identifying root causes, developing agent tools and training, partnering cross-functionally, and pulling data from Tableau, Snowflake, and Databricks to drive process optimizations and KPI improvements.

Lead analytics engineering for Revenue, Marketing, and Finance by building scalable data solutions, data models, and dashboards; provide training and consultation, support ad hoc data needs, and translate technical findings into executive-level insights to improve operational performance.

Manage Finance-focused data products, collaborating with teams to define requirements and drive delivery for financial analysis and reporting.

Partner with stakeholders to gather and document data requirements, translate needs into user stories and technical specs, perform SQL-based data analysis, source-to-target mapping, and validation, support data quality, lineage, and monitoring, serve as primary requirements contact, contribute to Agile ceremonies, assist change management and rollout, and maintain operational and client documentation.

Lead product vision and execution for internal, data-intensive technical initiatives. Improve and future-proof datasets, shared services, and platforms. Partner across engineering, data science, analytics, and product to translate needs into requirements, prioritize work, drive cross-functional delivery, define success metrics, and communicate roadmap and risks to stakeholders.

Reconcile complex servicer reports, research and correct servicing and cash settlement discrepancies, and respond to loan-level inquiries. Build and maintain investor relationships, develop and own analytical models, dashboards, and reporting solutions. Lead cross-functional projects and implement process and reporting improvements.