Top Remote Data & Analytics Jobs

General application to Cardamom's talent pipeline for roles across Epic analytics, data & analytics, project/product management, and internal functions. Candidates can submit for Epic analyst, data engineering, data science, interoperability, BI, software development, and entry-level roles (Madison local). Talent team reviews submissions and contacts matches for current or upcoming openings.

The Trade Operations & Data Analyst ensures data quality in security reference data, manages operational risk, and improves workflows in investment operations.

The Solutions Consultant will conduct product demos, assist in sales cycles, and provide evidence of product value while maintaining product knowledge and client relations.

Own support analytics for User Operations: build dashboards and recurring reports, track north-star metrics (cSAT, TTR, QA, escalations), instrument Zendesk, connect support to product/customer data, quantify operational costs of bugs, and measure AI-driven support performance.

Lead BI Developer owns reporting infrastructure end-to-end, building standardized, trusted dashboards and LookML models, analyzing messy third-party data, partnering with Yield/Paid Media/Account teams to deliver actionable performance marketing insights and retrospective analyses that drive business decisions.

Lead a BI team to design, develop, and maintain enterprise dashboards, KPIs, and reports. Collaborate with stakeholders, ensure data governance and quality, integrate BI with cloud data warehouses and ETL pipelines, and support ERP migration to cloud. Drive BI strategy, documentation, training, and continuous improvement to enable data-driven decisions across the company.

Lead ownership of the global product taxonomy, catalog data model, and catalog governance. Define and enforce standards, train and up-level merchandising teams, interview SMEs, run design reviews, and translate ambiguous catalog issues into prioritized product and engineering requirements. Partner with R&D and clinical teams to enable new categories and advance AI-assisted catalog tooling and quality monitoring.

Perform end-to-end data migrations for banks and credit unions: analyze donor systems, define requirements, map and transform data with SQL, validate conversions, reconcile results, resolve data issues, and build reusable automation and AI-assisted tools to improve migration speed and accuracy while supporting multiple client engagements.

Lead advanced analytics and predictive modeling for readiness-based spares and sustainment decisions. Translate business problems into analytical frameworks, build predictive/diagnostic models, document data pipelines, mentor junior analysts, and collaborate with engineering and program stakeholders to support Navy and Department of War programs.

Partner with GTM leaders to turn large datasets into actionable insight, build dashboards and forecasting models, analyze pipeline/retention/productivity, and implement automation and AI-enabled workflows to improve revenue performance and GTM operations.