• Collect and Maintain Source Data: Identify new data sources and opportunities for automation to ensure all information remains accurate and current • Analyze Data Quality: Execute ongoing quality improvement plan to refine matching process and reduce unmapped data • Establish Governance Standards: Define and maintain standards, documentation, and stewardship models for the payer data domain • Stay Current on the Payer Landscape: Track market trends, including mergers, acquisitions, and rebranding, to assess their impact on our data products • Collaborate on Platform Improvements: Partner with product managers, engineers, and analysts to build scalable, automated processes that ensure trusted data delivery

Who We Are At Synapse Health, we're streamlining the durable medical equipment (DME) process.  We manage intake, documentation, routing, claims, billing, and patient support. Our model reshapes how DME is delivered and experienced. Since 2016, with decades of industry and leadership experience, we've delivered tech-based solutions that help our partners to modernize operations, improve coordination, and reduce administrative burdens. By taking on operational and financial complexity, we're redefining how DME works for providers, prescribers, and patients. We are proud to offer work that matters, on a mission that matter s . Learn more at SynapseHealth.com and on Synapse Health’s LinkedIn . What We Need Synapse Health is seeking a skilled and analytically driven Supplier Data Operations Analyst to help manage, optimize , and scale supplier-related data across our operational platforms. This role plays a key part in ensuring supplier data accuracy, integrity, and usability—supporting compliant workflows, accurate invoicing, and smooth supplier and patient transitions. Reporting within the Data Operations function, this Supplier Analyst role operates with increased autonomy, serves as a go-to resource for supplier data questions, and partners closely with Operations, Account Management, Revenue Cycle Management (RCM), and Technology teams to drive data quality and continuous improvement. What You Will Do Own and maintain supplier platform configurations (Fulfill), including supplier setup, pricing updates, and ongoing price sheet management. Verify, upload, and manage supplier data such as coverage areas, contracting details, and operational exceptions for internal use. Lead quality assurance (QA) reviews of DMEPOS catalogs, contracting data, and supplier loads to support accurate invoicing and downstream workflows. Monitor, triage, and resolve support tickets from Operations and RCM related to missing, incorrect, or inconsistent supplier data. Manage supplier data intake and patient transition loads, ensuring completeness, accuracy, and compliance with internal standards. Perform advanced data validation, translate inputs into standardized load files, and resolve discrepancies across multiple systems and data sources. Execute and validate data loading activities (rosters, documents, orders) into EMR and related operational systems. Partner closely with Account Management and Operations teams to ensure supplier and patient data is loaded accurately and on schedule. Develop and deliver recurring and ad hoc reports to monitor supplier performance, data quality, and operational trends. Identify inefficiencies, gaps, and recurring data issues; recommend and support corrective actions and process improvements. Provide Level 2 support for vendor-related inquiries and escalations, serving as a subject-matter resource for supplier data workflows. Document data processes, validation standards, and issue resolutions to support audit readiness and operational consistency. Mentor and support Analyst I team members, as applicable. What You Have At Synapse Health, we’ve intentionally built a culture rooted in kindness, collaboration, and creativity, qualities we consider essential for every team member. Additional requirements include: Compensation: The base salary range for this position is $ 68,800 – $75 ,000 annually. This range reflects the anticipated compensation at the time of posting. Final compensation will be based on factors such as relevant experience, demonstrated skills, internal equity, and prevailing market conditions. Compensation discussions are encouraged throughout the hiring process. What Sets Us Apart Work is a part of life , but at Synapse Health, we believe it should be meaningful and enjoyable. We’re committed to helping our team members thrive personally and professionally, which is why our benefits include: Professional growth opportunities with compelling career paths Healthy work-life balance supported by flexible paid time off (PTO) Comprehensive benefits package , including medical, dental, vision, STD & LTD insurance for full-time team members 401(k) savings plan with employer matching contributions Synapse Health is an equal opportunity employer that is committed to diversity and inclusion in the workplace. We prohibit discrimination and harassment of any kind based on race, color, sex, religion, sexual orientation, national origin, disability, genetic information, pregnancy, or any other protected characteristic as outlined by federal, state, or local laws. Synapse Health, Inc . will never request personal or sensitive information during the recruitment process. Please see our Careers p age for more information on how to protect yourself from scammers and to learn more about our recruitment process. Privacy Policy

• Desenvolver e executar fluxos de trabalho no Alteryx para automatizar o processo de análise de dados • Atuar com engenharia de dados utilizando a ferramenta Alteryx em projetos de integração de dados entre sistemas, desenvolvimento de camada analítica de dados (ETL/ELT) para projeto de BI e/ou Big Data • Trabalhar com equipes de negócios dos clientes para entender as necessidades de dados, levantar requisitos e propor soluções para problemas complexos • Comunicar os resultados da análise de dados aos stakeholders de modo claro e conciso • Projetar aplicativos analíticos • Construir macros personalizadas • Analisar dados espaciais • Realizar preparação e análise avançada de dados • Criar relatórios com visualizações de dados

• Conduzir desenvolvimentos de aplicações de Business Intelligence (BI) desde a concepção até a implementação, estimando prazos de entrega e esforços necessários para entrega de resultados de qualidade • Conduzir o levantamento de requisitos, facilitar reuniões e avaliar a viabilidade técnica • Identificar, coletar e integrar dados de múltiplas fontes internas e/ou externas e de consultas SQL • Identificar e aplicar modelos dimensionais adequados para otimizar a arquitetura de dados, garantindo escalabilidade e eficiência operacional • Realizar a homologação dos dados, quando necessário junto as equipes de negócio, garantindo a integridade e qualidade dos dados da aplicação • Criar visualizações de dados eficazes por meio de ferramentas como gráficos, KPIs, dashboards e relatórios para comunicar resultados de análise de maneira clara e compreensível • Fornecer recomendações estratégicas com base em insights derivados da análise de dados, contribuindo para a tomada de decisões informadas • Identificar oportunidades de melhoria e inovação nos processos de BI e implementar soluções para aumentar a eficiência e eficácia operacional • Garantir conformidade com regulamentações de proteção de dados e implementar medidas para garantir a segurança e privacidade dos dados