Top Remote Data & Analytics Jobs in Buffalo, NY

Lead organization-wide analytics and impact measurement, manage large cross-functional data projects, produce strategic insights and visualizations, advise stakeholders on evaluation and data practices, and help shape analytics team strategy and data infrastructure improvements.

Design and execute advanced analytics and statistical models to support revenue cycle surveillance and risk monitoring. Extract, validate, reconcile, and integrate MHS GENESIS and enterprise repository data. Develop and optimize SQL/Vertica queries, CCL/Discern extracts, dashboards (Power BI, Tableau, SAP BO), and analytic deliverables. Support backend diagnostics, incident/change management, remediation analysis, and stakeholder briefings while ensuring HIPAA and federal data governance compliance.

Design, build, and maintain scalable ETL/ELT pipelines and Power BI dashboards; write testable Python, R, and SQL code; enforce version control and engineering standards; partner with data scientists to productionize analytics; explore AI tools; and mentor junior staff.

Oversee the development and maintenance of credit risk models, ensure compliance, validate performance, and manage a team of analysts.

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 Actuary will drive pricing strategies, transform technical analyses into actionable insights, and support pricing processes while collaborating with cross-functional teams.

Build and maintain integrations and ETL/ELT pipelines connecting K-12 Student Information Systems and external systems. Design scalable data workflows, monitor and troubleshoot data flows, perform QA and reconciliation, document data models, and collaborate with stakeholders on enrollment, attendance, and performance data needs.

The Director of Analytics leads analytics strategies, data engineering, and statistical modeling to enhance decision-making for healthcare operations, managing a team and ensuring data integrity and quality.

The role involves performing product usage analyses, designing A/B tests, leveraging AI tools for insights, and working cross-functionally to improve business performance metrics.

This role involves building and maintaining data pipelines, developing data models, and ensuring data discoverability while enabling scalable analytics on blockchain data.