Top Analytics Jobs in Denver & Boulder, CO

The Catastrophe Modeling Analyst supports research and analytics, integrating data from multiple sources to forecast deliverables and validate models.

The Lead Data Analyst will utilize deep data insights to drive strategic initiatives within the Customer Success team, focusing on metrics, trends analysis, and cross-functional collaboration to enhance customer experience and operational efficiency.

Lead revenue analytics by designing measurement approaches, building forecasting and prediction models, analyzing cross-functional revenue datasets, producing dashboards and executive-level reports, and providing data-driven recommendations to drive growth and territory/target planning.

As a Principal Data Analyst, you'll lead credit analytics efforts, develop forecasting models, and collaborate with multiple teams to enhance Upstart's credit platform.

Inovalon seeks candidates to join their Talent Community, emphasizing data-driven solutions to enhance healthcare outcomes and economics.

As a Fraud Analytics Intern at Ibotta, you will develop reports, analyze product features, support A/B testing, and assist with data modeling using SQL and Python.

The Senior Analyst role involves data analysis, report creation, and providing insights to support business decisions. The analyst will work with stakeholders to identify opportunities based on data trends and performance metrics.

The Actuarial Analyst analyzes and forecasts data to support strategic decisions, ensures data integrity, and collaborates with stakeholders on business needs.

The Product Analytics Data Scientist will enhance algorithms based on customer needs, optimize grocery orders, and support data use for improved ordering performance.

The Staff Advanced Analyst will drive data analytics to improve CS Safety experiences, influence product decisions, and build measurement tools using data-driven insights.

The Senior Analyst will manage data analytics projects, improving data availability and quality, and delivering results to stakeholders. Responsibilities include auditing data integrity, promoting best practices, and collaborating with teams to meet project goals.

Lead analytics strategy for channel marketing, build attribution and incrementality frameworks, run experimentation and forecasting, surface optimization insights, and grow a high-performing analytics team to improve ROI and guide investment decisions.

The role optimizes underwriting strategies in P&C by analyzing complex datasets, providing insights to influence business decisions, and improving risk management.

Lead development and deployment of predictive analytics and ML models to inform commercial strategy. Partner with cross-functional teams and vendors to deliver patient-level analyses (adherence, persistency, new starts), leverage RWD and pharmaceutical datasets, and drive model adoption to support commercialization and revenue growth.

Lead cross-product credit analytics to inform underwriting, limits, and portfolio strategy. Design experiments, build customer credit profiles, uncover insights, and recommend product and policy changes to balance growth and risk.

The Business Insurance Analytics Associate supports the analytics strategy, analyzes claims data, advises clients on insurance options, and collaborates with various teams for seamless client service.

Lead a team of data analysts, ensuring accurate reporting, data integration, and analytics presentations while collaborating with agency partners.

The Energy Analyst will conduct quantitative analysis, provide expertise in analytic modeling for revenue forecasts, and support energy project development.

As a Staff, Advanced Analytics, New Business, you'll analyze data for new business extensions, collaborate with teams, define metrics, and conduct A/B tests to drive strategic decisions.

Join Ascend Analytics as an Energy Analyst/Senior Energy Analyst, focusing on quantitative modeling, analytics, and strategic planning in the energy sector for clients including utilities and government agencies.

Lead a team of ~7 data scientists to deliver timely, accurate product analytics: guide experimentation, partner with product and engineering, build accessible data products, mentor staff, and improve measurement and reporting practices to inform product decisions.

Lead a team of ~7 data scientists to deliver timely, accurate product analytics and experimentation insights. Manage people, partner with product and engineering, improve measurement and data products, and ensure rigorous large-scale analysis to inform product decisions.

Lead a Product Analytics data science team to deliver timely, accurate insights for product decisions. Manage ~7 data scientists, mentor teammates, partner with product and engineering, develop experimentation and measurement best practices, and build accessible data products and reports.

Lead a team of ~7 data scientists to deliver timely, accurate product analytics and experiments; support product teams, build accessible data products, mentor staff, and improve measurement and reporting practices.

Manage a team of ~7 data scientists to deliver experimental design, product analytics, and actionable insights. Partner with product, engineering, and research to build measurement, data products, and reporting; ensure data accuracy, timely delivery, and best practices.