Top Remote Business Intelligence Jobs in Denver & Boulder, CO

Lead and scale Runpod’s analytics and business intelligence function, managing analysts and BI practitioners while setting the analytics roadmap. Own core company metrics, consumption and marketplace analytics, self-service reporting, experimentation practices, and executive and board-level insights. Partner with Product, Finance, Engineering, Security, Supply, and Go-to-Market leaders to improve data quality, modeling, decision-making, and strategic outcomes.

Lead CX data intelligence initiatives using SQL, dashboards, analytical models, and AI/LLM techniques. Analyze customer journeys, operational metrics, churn risks, and retention indicators; develop insight agents and self-service reporting; define CX health metrics; and translate findings into strategic recommendations, process improvements, and experiments. Partner with operations, support, product, data, and engineering teams while maintaining data quality, governance, and documentation.

Build AI-augmented BI dashboards, semantic layers, and AI-ready metadata. Use AI-assisted tools to accelerate SQL and dashboard development, productionize ML outputs into BI, enforce data quality and governance, and present insights to business stakeholders including C-suite.

Transform data into actionable insights by building dashboards, reports, and visualizations. Partner with cross-functional teams and data engineering to ensure data quality, lineage, and AI-ready metadata. Audit datasets, define monitoring rules, document data dictionaries, pilot AI-assisted BI tools, and apply hypothesis-driven analysis to surface insights that inform business decisions.

Design, build, and maintain Power BI dashboards and data models using Snowflake and other cloud sources. Collaborate with data engineers/ETL teams, gather stakeholder requirements, implement DAX and Power Query transformations, ensure data governance and performance, and deliver analytics within Agile processes.

Lead ownership of BI reporting infrastructure: build and standardize dashboards, extract insights from messy third‑party data, partner with marketing teams to drive performance optimization and deliver proactive retrospective analyses that influence business decisions.

Develop business intelligence and revenue reporting tools, automate Finance reporting processes, perform ad hoc and quantitative analyses, and translate complex data into actionable insights. The analyst will support company initiatives, present findings to technical and non-technical stakeholders, and provide decision-making guidance across the organization.

Design and deliver end-to-end BI architecture, dashboards, self-service reporting, and predictive analytics. Integrate analytics into the CMM application, enforce data governance, ensure performance SLAs, support AI/ML solutions, and collaborate with stakeholders to translate business requirements into scalable reporting and metadata processes within a regulated environment.

Reviews, develops, validates, and refines dashboards, reports, visualizations, calculations, data sources, KPIs, and analytical workflows across BI platforms. The role documents findings, provides structured feedback, troubleshoots reporting accuracy, and evaluates AI-powered agents and workplace connectors used in analytics processes.

Develops scalable business intelligence and analytics solutions for financial, operational, clinical, and healthcare initiatives. Extracts, transforms, and analyzes data; builds ETL pipelines, reports, models, and applications; performs ad hoc analyses; improves data quality and architecture; and translates stakeholder needs into actionable insights. Collaborates with population health and cross-functional teams to support value-based care, provider outcomes, and strategic decision-making.

Develop and maintain Microsoft Power Apps and Power BI solutions for federal customers. Build data models, DAX measures, Power Query transformations, dashboards, reports, gateway connections, scheduled refreshes, and security controls. Integrate SQL Server and external data sources, perform data quality analysis, support accessibility and ATO compliance, and collaborate with product owners and technical teams in Agile ceremonies. Document solutions, manage artifacts with Git, and translate business requirements into actionable applications and reporting.

Develops and maintains Power BI dashboards and data models, defines KPIs with stakeholders, validates data accuracy, and collaborates with Data Engineering on optimized analytical models. The role documents data lineage and reporting assumptions, supports self-service BI through communications and training, and automates manual reporting processes. It requires SQL, Power BI, DAX, Power Query, data modeling, and data warehouse knowledge, plus strong communication and cross-functional collaboration skills.

Develop and maintain Amazon QuickSight dashboards in a secure CMS environment supporting healthcare quality improvement programs. Responsibilities include gathering requirements, creating analyses and visualizations, validating data and calculations, documenting dashboards, conducting user acceptance testing, troubleshooting, and supporting deployment. The role also develops Tableau visualizations, performs ad hoc analysis, coordinates with stakeholders, and communicates technical findings and dashboard guidance.

Leads enterprise business intelligence and analytics across multiple divisions and locations. Establishes governed KPI definitions, reporting architecture, financial and operational analytics, semantic models, data-quality practices, and self-service reporting. Partners with FP&A, IT, Finance, and Operations to align analytics with financial results, guide technical delivery, evaluate BI platforms, and support forecasting and performance improvement. Directs internal or external development teams and communicates actionable insights to executives and operating leaders.

Supports the Mortgage Lending Division by producing and maintaining routine reports, dashboards, data extracts, and basic analyses. Validates data accuracy, automates reporting where appropriate, documents procedures, investigates trends and audit issues, and responds to operational reporting needs. The role involves learning internal systems, metrics, and business processes while collaborating with stakeholders. Candidates should have basic Excel and data visualization skills, foundational SQL knowledge, strong analytical abilities, and zero to two years of relevant experience.

Supports the Mortgage Lending Division by producing and maintaining routine reports, dashboards, data extracts, and ad-hoc analyses. Validates data accuracy, documents reporting procedures, investigates trends and audit issues, and collaborates with business teams to understand performance metrics and reporting needs. The role requires basic Excel and data visualization skills, foundational SQL knowledge, attention to detail, and a willingness to learn internal systems and processes.

Lead BI reporting and advanced analytics to optimize marketing campaigns and ROI. Build dashboards, manage multi-source data, ensure data governance, provide actionable insights, mentor juniors, and partner with cross-functional teams to guide strategy.

Analyze performance marketing and subscription-funnel data, including acquisition efficiency, conversion, retention, churn, and customer lifetime value. Build automated Domo dashboards and governed reporting pipelines from multiple data sources. Investigate data anomalies, analyze A/B tests, define KPIs, and communicate insights to executives. Partner with marketing, product, engineering, finance, agencies, and BI contractors while independently executing analytics projects and improving reporting workflows.

Develops and maintains dashboards, reports, data tools, and data infrastructure for Consulting. Analyzes client, project, portfolio, capacity, compliance, and outcomes data to identify trends and support decisions. Maintains data integrity across Salesforce, Resource Hero, Power BI, and related systems; establishes governance standards; trains staff; and manages consulting projects, workflows, budgets, timelines, and deliverables.

Develop Power BI dashboards, reports, data models, and visualizations, while building Power Apps applications and Power Automate workflows to automate business processes. Gather requirements from stakeholders, integrate Dataverse, SQL Server, SharePoint, and other data sources, troubleshoot solutions, optimize reporting performance, analyze KPIs, and present insights to management. Provide ongoing support to business and finance stakeholders.

Supports enterprise data governance and business intelligence for NAVSUP by profiling datasets, defining quality rules and business glossaries, validating metadata and lineage, reconciling API data, and tracking remediation. Develops test cases, dashboards, scorecards, reports, documentation, and training materials. Collaborates with data owners, stewards, engineers, and government stakeholders in Agile environments using Informatica, MuleSoft, Axon, Power BI, Azure DevOps, and AWS GovCloud.

Leads enterprise business intelligence and analytics solutions using Power BI and Microsoft Fabric. Designs semantic models, certified datasets, dashboards, DAX calculations, data transformations, security controls, and governed self-service analytics. Assesses and modernizes reporting portfolios, develops predictive and forecasting capabilities, gathers requirements, validates data quality, supports documentation and adoption, and mentors analysts. Collaborates with business, engineering, governance, and security stakeholders to establish scalable enterprise analytics standards.

Develop and distribute recurring reports, gather stakeholder requirements, enhance data and reporting capabilities, automate manual processes, analyze KPIs and trends, and present insights to business leaders. Partner with business and technical SMEs on data deep dives, quality improvements, and ad hoc finance and business initiatives. The role requires hands-on Power BI and SQL experience, strong Excel skills, and familiarity with VBA and Python.

Develops business intelligence applications and data models using Qlik, SQL, and related tools. Performs ETL, data validation, analytics process improvement, and impact analysis for reporting changes. Provides data-driven insights, supports audits and legislative inquiries, leads stakeholder meetings, and mentors teammates as a business intelligence subject matter expert.

Develops and maintains business intelligence applications, data models, reporting scripts, and analytics solutions using Qlik, SQL, and related tools. Imports data from multiple sources, validates data integrity, assesses downstream impacts, supports user testing, and collaborates with business stakeholders and IT to improve reporting processes and deliver actionable insights.