Top Data & Analytics Jobs in CO

Analyze auction data to identify performance drivers and risks, collaborate with commercial teams, and provide actionable insights to optimize DSP outcomes.

Partner with Finance and stakeholders to gather requirements, develop and maintain financial and operational reports and dashboards, analyze complex datasets, build and optimize SQL queries/stored procedures, ensure data quality, support rate-setting, and identify automation opportunities to improve reporting and self-service analytics.

The Lead Healthcare Analyst will analyze healthcare data to drive program effectiveness, support strategy, and improve patient outcomes, collaborating with various stakeholders.

Own operational support and optimization of enterprise data warehouse systems on AWS. Build and maintain scalable batch and streaming ETL/ELT pipelines, lead incident management and RCA, implement CI/CD and IaC, collaborate with cross-functional Agile teams, and provide shift-based on-call support while evaluating Generative AI integration opportunities.

Lead detection, investigation, and mitigation of payments fraud across cards and mobile. Build and own risk controls, metrics, reporting, and cross-functional analytics projects using SQL and BI tools to scale monitoring and partner with product, data science, and engineering.

Lead deep-dive analyses into account takeover and fraud, design and implement real-time defenses, collaborate with product/engineering/data science, run incident response, and deliver actionable insights to protect users while preserving UX and core metrics.

Lead the development of analytics solutions across operations, manage a team of analysts, and drive operational excellence and decision-making through data insights.

The Risk Analyst will develop strategies to mitigate fraud risk, analyze data, and collaborate with various teams to support low friction customer experiences. Responsibilities include reviewing accounts, creating analytical models, and reporting on progress against business goals.

Lead analysis of marketing performance and campaign ROI, build and maintain dashboards, deliver actionable insights, and collaborate with cross-functional teams to inform targeting, segmentation, and predictive modeling efforts.

Partner with product teams to design and evaluate experiments, build pipelines, dashboards, and reusable analytics assets, perform deep-dive analyses on product funnels and features, and communicate actionable insights to inform roadmap and OKRs.

Manage and validate financial models, ensuring accuracy and compliance. Collaborate across teams to improve model performance and frameworks.