Role Description The GIS Project and Data Engineer serves as the tactical anchor for the project lifecycle, ensuring seamless communication between field operations and GIS systems. This role combines hands-on technical management of As-Built drawings and CAD files with the organizational discipline required to track deliverables and maintain company standards. The ideal candidate is a detail-oriented professional capable of navigating the bridge between engineering design and geospatial data integrity. Qualifications - Associate’s or bachelor’s degree in GIS, Geography, Project Management, or a related technical field required. - 1–3 years of experience in a GIS, engineering, or technical project support role required. - Minimum 2+ years of AutoCAD experience (Civil 3D focus) and functional proficiency in ArcGIS Pro data editing required. - Knowledge of outside plant (OSP) telecommunications engineering and construction processes preferred. - Strong technical writing skills and the ability to convey complex geospatial concepts to diverse audiences preferred. - Capable of working autonomously in a remote environment while maintaining a preferred, collaborative, customer-focused attitude. - Familiarity with office and field observer safety requirements. - Hands-on experience with ESRI geodatabases, spatial data editing, and mapping workflows. - Familiarity with telecom-specific inventory tools, industry standards, and databases. - Proficiency in AutoCAD app development and workflow automation. - Exposure to project management platforms such as Smartsheet, MS Project, or Asana. Requirements - AUDIT AutoCAD files for technical compliance and execute the precise translation of data between CAD and ESRI environments. - Apply a strong understanding of projections and coordinate systems to ensure all data aligns with Arcadian internal geodatabases. - Act as the primary intake for field vendor data, reviewing submissions for spatial integrity and attribute completeness before importing records. - Coordinate and package complex GIS deliverables for external stakeholders including Caltrans, CDT, and Hyperscalers. - Act as the point of contact for routine project status, ensuring engineering teams, inspectors, and contractors are aligned on milestones. - Facilitate internal and external project calls by documenting action items and distributing project summaries. - Make sound, timely decisions regarding data workflows and involve appropriate stakeholders to maintain high standards of quality. - Develop and maintain technical documentation, standard process guides, and reference materials for evolving GIS and CAD workflows. - Perform routine attribute edits and quality checks to proactively flag and resolve data inconsistencies. - Ensure all engineering and design activities adhere to company policies, contract requirements, and safety standards.

Role Description We’re hiring a Logistics Management & Data Specialist to manage and optimize the operational backbone of a fast-growing e-commerce business. This is a highly analytical, systems-focused role that combines logistics coordination, inventory planning, operational reporting, and AI-driven process improvement. You’ll be responsible for managing freight operations, purchase order workflows, inventory data, operational reporting, and internal systems while helping the company build smarter, more automated workflows using AI tools. This role is ideal for someone who enjoys solving operational problems, working with data, improving systems, and creating structure inside a fast-moving e-commerce environment. What You’ll Be Doing - Logistics & Ecommerce Operations - Manage freight and logistics operations end-to-end, including shipment tracking, delivery coordination, warehouse communication, and purchase order uploads. - Coordinate with warehouse teams to ensure inventory accuracy and smooth fulfillment operations. - Create and manage monthly purchase orders based on sell-through rates, inventory forecasting, and revenue projections. - Monitor inventory movement and identify potential stock risks before they impact operations. - Maintain accurate product information and variants within Shopify. - Support operational planning by ensuring clean and reliable logistics data across systems. - Data Analysis & Reporting - Build and maintain operational spreadsheets and reporting systems. - Analyze large datasets related to inventory, returns, customer service trends, and product quality. - Generate actionable business reports that support operational and inventory decisions. - Create dashboards and reports that improve visibility across logistics and operational performance. - Use data insights to identify inefficiencies and recommend improvements. - AI & Systems Development - Build centralized reporting systems using Claude or similar AI tools. - Connect operational data across Shopify, Meta Ads, Google Ads, Klaviyo, and internal reporting systems. - Develop AI-supported workflows and automations to improve operational efficiency. - Explore and test emerging AI tools that can improve logistics, reporting, customer service, and internal operations. - Identify repetitive workflows and create scalable systems to reduce manual work. - Process Improvement & Operational Efficiency - Improve operational workflows and create scalable systems that support business growth. - Organize and maintain structured documentation, trackers, and operational processes. - Continuously identify opportunities to improve reporting accuracy, operational visibility, and execution speed. - Collaborate cross-functionally with operations, warehouse, customer support, and leadership teams. Qualifications - You are highly analytical and naturally organized. - You enjoy building systems, improving workflows, and solving operational problems. - You are comfortable working with large datasets and operational reporting. - You think proactively and identify problems before they escalate. - You are comfortable operating independently in a remote environment. - You are detail-oriented and highly reliable with operational execution. Requirements - Proven experience in logistics, supply chain, ecommerce operations, or inventory management. - Hands-on experience with Shopify and understanding of product data structures. - Strong experience managing freight, purchase orders, shipment tracking, and warehouse coordination. - Advanced spreadsheet skills with the ability to create professional, scalable operational trackers and reports. - Strong quantitative and analytical skills with experience working with large datasets. - Experience using Claude, ChatGPT, or similar AI tools within operational workflows. - Ability to build structured systems and improve operational processes. - Strong English communication skills (written and verbal). - Ability to work independently and manage priorities in a remote environment. Nice-to-Have Experience - Experience connecting data across Shopify, Meta Ads, Google Ads, and Klaviyo. - Familiarity with APIs, automations, or AI integrations. - Experience building dashboards or centralized reporting systems. - Previous experience in ecommerce or consumer product businesses. - Experience with inventory forecasting and margin analysis. Key Metrics for Success (KPIs) - Accuracy of inventory tracking and operational reporting. - Timeliness of shipment coordination and purchase order management. - Reduction in operational errors and logistics bottlenecks. - Quality and usability of operational dashboards and reports. - Successful implementation of AI-supported operational improvements. - Reliability and cleanliness of operational data across systems. Interview Process - Initial Screening Call - Recruiter Interview - Final Interview - Offer & Onboarding

• Atuar no desenvolvimento e manutenção da nossa arquitetura de dados na nuvem • Construir, otimizar e manter pipelines de ingestão e processamento de dados, com forte atuação em ambiente AWS • Desenvolver integrações de dados com plataformas Salesforce, viabilizando o acompanhamento, criação de segmentações e acionamento de campanhas • Atuar no discovery e mapeamento de requisitos técnicos junto às áreas de negócio, alinhando as entregas ao roadmap da squad • Desenvolver rotinas de banco de dados (procedures e queries complexas) para transformação, tratamento e validação da qualidade dos dados • Garantir a confiabilidade dos dados, realizando troubleshooting, manutenção de processos e implementação de melhorias contínuas • Disseminar a cultura de qualidade de código, defendendo e participando de *code reviews* e acompanhando as esteiras de deploy em produção • Atuar de forma colaborativa, mantendo um relacionamento próximo com diversos times de negócio e tecnologia

Role Description Join our team at Carta Healthcare, where we offer opportunities for experienced clinical data abstractors. We offer a flexible work schedule that allows for a balanced work-life experience. As a Part-Time Clinical Data Abstractor, you will be responsible for abstracting and coding patient information from medical records to meet the requirements of various target registries. Qualifications - Current Oncology Data Specialist (ODS) certification - Minimum of 3 years of recent clinical data abstraction experience in a hospital setting (or equivalent) - Proficiency with EMR systems and multiple cancer registry software applications - Familiarity with reporting requirements for ACS CoC, NPCR and SEER - Maintain a 98% or higher IRR score - Previous remote work experience preferred - Available for a minimum of 60 abstraction hours monthly Requirements - Flexible part-time hours non-benefit - W2 employee - Hourly rate $38 - 100% remote - Laptop provided for Carta abstraction Benefits - Flexible work schedule - 100% remote work - Hourly rate of $38 - Laptop provided Company Description At Carta Healthcare, we are revolutionizing the way healthcare data is managed and used with innovative software solutions. Carta Healthcare is dedicated to building a diverse and inclusive company because we serve health systems across the country; we’ve seen how our product and impact are strengthened the more we reflect that diversity. In addition, we have found and strongly believe that diverse teams are higher-performing, and we embrace the varied perspectives that our team members share with each other. As such, we are an Equal Opportunity Employer.