Top Remote Artificial Intelligence Data & Analytics Jobs

Turn channel data into actionable insights to improve partner behavior and forecasting. Analyze pipeline, deal quality, product mix, program ROI, and sales velocity. Deliver decision-ready recommendations, build dashboards, define data needs, and partner cross-functionally with Sales, Programs, and Ops to drive scalable revenue outcomes.

The Principal MarTech Data Engineer will design data architecture, build data pipelines, ensure data quality, and lead cross-functional technical initiatives to enhance marketing technology and data privacy infrastructure.

Lead and grow a BI and analytics team to build scalable, AI-enabled reporting and self-service analytics. Partner with cross-functional stakeholders to deliver executive dashboards, standardize metrics, ensure data quality and governance, and use AI tools to automate insights and accelerate dashboard development.

Manage CVS Health's data partnerships and monetization strategy, source new partnerships, ensure operational success, and drive data product adoption across analytics teams.

Lead the design and architecture of Snowflake's Cloud Data Platform, working with customers to demonstrate its value, while maintaining industry technology insights.

Manage a portfolio of hotel parking assets to maximize revenue through dynamic pricing, demand forecasting, and analytics. Own client relationships, deliver performance reports and strategic recommendations, collaborate with product and engineering to optimize platform use, and implement SOPs to scale operations and onboarding.

Design and build enterprise-scale Snowflake environments, develop and optimize data pipelines with Python, dbt, and Airflow, lead client technical strategy, implement Snowflake security/compliance, and mentor junior engineers while collaborating with Snowflake, AWS, and Anthropic partners.

Build and own the quality analytics data layer: design and maintain dbt models, data marts, and Python-driven analyses. Define and standardize quality metrics, run experiments and A/B tests, support decision-making with dashboards and reports, automate recurring reporting, and partner with Quality and Engineering to ensure reliable, documented analytics.

The analyst will develop and optimize ETL workflows, write complex SQL queries, collaborate with stakeholders, and ensure data quality and delivery.