Top Data & Analytics Jobs in CO

Build and support enterprise data ingestion, transformation, modeling, and integration solutions using Microsoft Fabric and Azure data services. Develop batch, API, file, database, and event-driven pipelines; create dimensional and curated data models; write and optimize SQL; resolve data-quality and pipeline issues; and support production workloads. Collaborate in Agile engineering processes using GitHub, Azure DevOps, CI/CD, code reviews, and reusable development standards.

Leads data strategy for MetLife’s Group Benefits business by connecting business and Data & Analytics teams, establishing shared definitions, resolving ownership gaps, and improving governance and quality. The role leads Data Councils, supports Agile Release Trains, removes data-related blockers, and strengthens data foundations for decision-making, service delivery, analytics, and AI initiatives.

Leads managed-services data analytics and business intelligence workstreams for healthcare revenue cycle operations. Oversees planning, budgeting, delivery, dashboards, reporting, data models, and system data flows. Guides teams using Azure Data Factory and cloud data pipelines, ensures analytics quality and security compliance, resolves client issues, mentors staff, and identifies opportunities for automation, advanced analytics, and AI-supported tools.

Owns go-to-market funnel reporting and analytics from lead generation through pipeline, bookings, and ARR. The role analyzes conversion, pipeline quality, CAC, LTV, marketing ROI, and sales efficiency across segments and channels. It builds dashboards, forecasts, and executive insights while partnering with Marketing, Sales, Revenue Operations, and Finance on attribution, data integrity, budgeting, and investment decisions.

Architects and leads enterprise data engineering solutions, including data warehouses, master data management, data lakes, ETL pipelines, integration services, and data processing systems. Oversees end-to-end data solutions, troubleshoots complex engineering issues, ensures global data integration standards, and mentors developers, vendors, consultants, and partners. The role also supports data scientists and engineers through efficient database, warehousing, and data access architectures.

Own Power BI datasets, semantic models, DAX measures, and dashboards end to end. Trace and troubleshoot data flows through Azure Data Factory, Microsoft Fabric, and Power BI while ensuring reporting accuracy. Partner with stakeholders to define requirements, document reporting logic, and expand self-service analytics. Use and validate AI tools for queries, DAX, documentation, and reporting automation. Develop broader Customer Operations systems knowledge over time.

Designs and delivers large-scale, governed data pipelines and infrastructure across the full data lifecycle. Responsibilities include coding in Python and SQL, optimizing Airflow, dbt, AWS, Kafka, and Iceberg/Parquet workflows, implementing data quality and observability, contributing to architecture and tool evaluations, mentoring engineers, collaborating with stakeholders, and participating in on-call support.

Leads a data analytics team comprising data scientists, BI analysts, and AI developers. Provides mentorship, technical oversight, workflow optimization, performance management, stakeholder communication, project prioritization, and governance stewardship. Ensures analytical integrity, data quality, privacy, AI validation, ethical practices, and alignment with organizational goals. Partners with data engineering and executives to translate business needs into technical objectives and actionable insights.

Analyze quantitative and qualitative data to deliver broadband business and marketing insights. Build dashboards, reporting structures, interfaces, and analytical models using multiple data sources. Gather requirements, support enterprise system design, communicate findings to senior leadership, guide data strategy, and recommend process improvements. Collaborate with marketing managers, data scientists, and cross-functional teams to improve customer experience and business performance.

Leads the design, development, implementation, and support of scalable data solutions across multiple applications and platforms. Responsibilities include data requirements analysis, ETL/ELT development, data modeling, migration and transformation, workflow orchestration, performance optimization, data quality, pipeline monitoring, and production support. The role also provides technical leadership through coding standards, code reviews, mentorship, and engineering best practices.