Top Remote Artificial Intelligence Data & Analytics Jobs

The Forward Deployed Accountant leads the deployment of AI Agents for corporate accounting, trains teams, and ensures proper configuration and documentation of automated workflows.

The Complex Data Exchange Specialist manages data integration processes, ensuring high-quality data exchange between clients and systems, while mentoring peers and driving process improvements.

Build and maintain analytical data models, dashboards, KPIs, and self-serve analytics for Revenue. Partner with Data Engineering and cross-functional teams to enable GTM analytics, forecasting, attribution, data quality, and governance while scaling the analytics function.

The Compensation Data Analyst ensures data accuracy and integrity for compensation insights, troubleshooting data issues, and collaborating with various teams to maintain data quality.

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.

Responsible for analyzing, developing, and configuring SAP PaPM use cases. Supports production users and configuration/testing for OneGL finance environment enhancements.

Build and own the companys modern data platform: ingestion, orchestration, Snowflake architecture, dbt transformations and CI/CD, observability, governance, and a semantic layer to enable trusted analytics and production AI/ML workloads. Partner cross-functionally and automate recurring operational pain points into reusable platform capabilities.

The Solutions Architect leads client integration of Cedar's platform, ensuring successful project delivery through client communication and technical expertise while managing complex data structures and operational workflows.

The SI Business Analyst will drive integration between business needs and technical delivery, focusing on insurance and healthcare systems. Responsibilities include capturing requirements, performing gap analysis, designing workflows, and leading cross-functional teams to optimize system performance and support digital transformation initiatives.

The Senior Analyst will support the personalization algorithm by conducting analyses, testing features, managing projects, and collaborating with teams to improve food recommendations for customers.