Top Data & Analytics Jobs in CO

Analyze large operational datasets to optimize field efficiency, logistics, and supply chain pipelines. Build forecasting and headcount models, create dashboards and KPIs in Tableau, apply predictive analytics/ML to automate reporting, lead cross-functional alignment, and present data-driven recommendations to field and executive leadership to reduce costs and align capacity.

Analyze transactional metrics to identify inefficiencies, financial risks, and fraud; produce and validate daily/weekly/monthly reports and proactive alerts; consolidate and validate data sources for reporting; recommend process improvements to improve collections efficiency and customer satisfaction; deliver presentations and special-project analyses to senior management while leveraging automation and AI tools.

Perform deep-dive call and KPI analysis using AI tools, identify root causes and systemic issues, develop agent tools and training, serve as wireless technical SME (LTE/4G/5G), partner cross-functionally to improve self-serve and routing, and pull/analyze data from Tableau, Snowflake, and Databricks to drive process optimizations and AI automation.

Own and build unified KPI reporting and funnel diagnostics for Enterprise Growth across Coursera + Udemy. Deliver recurring executive reporting, conversion and cohort analyses, experiment measurement, forecasting support, and opportunity sizing. Partner with Finance, RevOps, and Data teams to improve data quality, attribution, and self-serve reporting to inform prioritization and resource allocation.

This role drives data-driven decision-making in product analytics, collaborating with cross-functional teams to generate actionable insights and evaluate new launches to enhance platform growth.

Owner of the analytics foundation: design and maintain BigQuery/dbt models, pipelines, and Looker Studio reporting; build AI workflows and web apps on GCP; integrate marketing, e-commerce, and fulfillment data; ensure GCP ops, security, and reliability; use AI-assisted tools daily and collaborate with business and client stakeholders.

Lead end-to-end COGS and gross margin analysis for hardware and software products, model cost-saving scenarios, answer ambiguous executive questions, partner with data engineering/finance/product, build reliable datasets and analytical frameworks, and present recommendations to C-suite stakeholders.

Manage analytical service operations by overseeing a team, designing software for data mining, developing statistical models, and generating insights for marketing outcomes. Provide training and mentorship to direct reports.

Lead workforce management operations and analytics for multi-brand contact center portfolio. Manage WFM and real-time teams, forecasting, capacity planning, scheduling, intraday operations, and WFM technology optimization (Genesys, Intradiem). Drive process standardization, continuous improvement, reporting, and stakeholder partnerships to meet service levels and business objectives.

Lead and mentor a team of decision scientists to drive product strategy through analytics, experimentation, and measurement. Partner with product leads to prioritize initiatives, oversee end-to-end analytics projects, ensure statistical rigor in A/B testing, maintain event tracking quality, and deliver actionable insights using Databricks, Airflow, Python/R, Looker, and AI tooling.

As a Healthcare Analyst II, you will analyze healthcare data to optimize strategies, conduct quantitative analysis, and provide insights for clinical interventions, partnering with cross-functional teams.

Lead contact center analytics by analyzing large datasets, building predictive models, ensuring data quality, and creating dashboards. Collaborate with cross-functional teams, identify AI/automation opportunities, present insights to executives, and maintain data privacy and repeatable reporting processes to improve customer experience and operational efficiency.