Top Remote Analysis Reporting Jobs in Hampton, VA

The Analyst, Payments Risk- Shadow Risk Monitoring conducts merchant onboarding, risk reviews, and oversight of merchant risk monitoring while communicating with internal teams and clients.

The Product Analyst will measure results and deliver insights on new AI products, identify opportunities, and guide product strategy through data analysis and visualization.

The FHIR Evangelist will shape healthcare interoperability standards, influence federal health policy, act as a trusted advisor, and build relationships in the health IT landscape. Responsibilities include participating in working groups and translating standards into actionable guidance.

The Business Intelligence Analyst II will enhance data literacy, support stakeholders in data access, and deliver analytical insights while fostering relationships with decision-makers.

The Lead Portfolio Analyst drives analytical frameworks for risk selection and pricing while managing Portfolio Analysts and collaborating across teams.

The Portfolio Analyst manages ILS portfolios focusing on casualty reinsurance, overseeing portfolio operations, financial servicing, stakeholder coordination, data analytics, and risk monitoring. They utilize technical skills in Python, SQL, and Excel to enhance reporting and operational processes.

The Business Insights & Planning Analyst III coordinates mergers and acquisition efforts, business planning, and work product development, while managing due diligence and supporting various teams in the business development process.

The Manager leads the Predictive Analytics and Data Science team, develops predictive models, and collaborates with cross-functional teams to drive data-driven solutions in healthcare.

The Sr. Data Engineer will design and maintain databases, develop ETL pipelines, and ensure data integrity for Hologram's IoT network, enabling insights and decision-making.

This role involves leading workforce analytics initiatives, delivering insights on headcount, compensation, and workforce planning, while utilizing AI tools and visual analytics platforms to support decision-making processes across various HR functions.

As a Gen AI Intern, you will develop Python features for the ArangoDB ML Platform and evaluate innovations in Python, while engaging with the community through talks and webinars.

The Data Engineer develops and maintains data pipelines, collaborates with teams to optimize data architecture, and ensures data quality and accessibility.