Top Hybrid Senior Level Data & Analytics Jobs in CO

The Lead Data Analyst will define KPIs, analyze data trends, build dashboards, and support new product launches, requiring strong SQL and Python skills.

Design and implement scalable go-to-market intelligence workflows and automation. Define business requirements for reports and dashboards, partner with Product and Analytics, improve Data Cloud tool adoption, document processes, support integrations, and deliver automation-aligned pre-sales and client-facing materials.

The Senior Manager of Analytics will lead analytics on enterprise accounts, drive strategic insights for clients, oversee analytics delivery, and innovate offerings while collaborating with internal teams to enhance analytics capabilities.

The Senior Ad Ops Engineer develops and manages data products for marketing activation, focusing on data pipelines, quality validation, and integration with marketing platforms.

The Senior Data Engineer at Ibotta will lead the design and implementation of data contracts, AI readiness scoring, and governance frameworks, while also mentoring junior engineers and ensuring data integrity in an AI-driven environment.

The role involves leading data architecture strategies and driving innovation in data solutions while ensuring compliance with governance policies. Responsibilities include translating data requirements into technical plans, overseeing advanced data technologies, and fostering collaboration among stakeholders.

Manage SoFi's enterprise TPRM platforms, optimizing workflows, delivering data analytics reports and dashboards, and enhancing risk intelligence for decision-making.

Lead and manage a team of data engineers to develop and maintain data pipelines and warehouses, ensuring data quality and adherence to best practices.

Lead the design and delivery of scalable data solutions, focusing on data architecture and digital transformations while mentoring engineers.

Responsible for designing, developing, testing, and optimizing data integration solutions, focusing on financial month-end closure and ongoing production support.

The Data Expert will manage information systems, conduct data analysis, advise counterparts on data integrity, and resolve integration issues while ensuring adherence to quality standards.