Top Remote Artificial Intelligence Data & Analytics Jobs

Investigate financial transactions to identify potential money laundering activities, utilize AI for analysis, document findings, and collaborate with product teams on improvements.

Lead the implementation team for Rillet's ERP platform, managing customer onboarding and optimizing processes while mentoring team members and collaborating with cross-functional partners.

The Founding Data Engineer will manage the company's data models, ensure metric integrity, and work with various teams to deliver reliable metrics and reporting systems.

As a Data Analyst, you'll analyze operational data, build dashboards, and partner with teams to drive decisions through data insights.

Lead end-to-end SAP S/4HANA data migration: define strategy, analyze and cleanse legacy data, map and transform data, execute mock and production loads using SAP migration tools, validate and reconcile results, support cutover, testing and post-go-live hypercare while partnering with stakeholders and technical teams.

Support audit teams by fulfilling data requests, building analytics dashboards and automations (Power BI, UiPath, Dataiku, Python/R), integrating AI tools, and contributing to financial, SOX, IT, and operational audits while following SDLC and data governance.

Design and deliver scalable data and analytics solutions supporting the end-to-end sales lifecycle. Integrate SAP, Salesforce, and other enterprise sources into cloud data lakes, modernize BI platforms, ensure data quality and governance, drive automation and process improvements, and provide technical leadership and mentorship to teams while partnering with business and IT stakeholders.

Provide product and commercial analytics to support GTM strategy, revenue reporting, ROI models, and packaging experiments. Build repeatable, documented BI assets and dashboards, automate commercial signals, and partner with Sales, Rev Ops, Product, and Customer Success to inform pricing, bundles, churn, and upsell decisions.

Lead sales operations analytics for Grocery and Retail: design dashboards and models, analyze sales and market trends, support forecasting and capacity planning, optimize sales funnel performance, deliver strategic insights to sales leadership, and collaborate with data engineering/BI using SQL, Python, and visualization tools.

Analyze large healthcare claims datasets to support post-payment analytics and payment integrity. Build and maintain Databricks-based analytical datasets, dashboards, reports, and visualizations. Identify payment trends, anomalies, and overpayments; validate and reconcile data; translate business requirements into analytical solutions; and present insights to stakeholders to inform program improvements and compliance.