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.

Role Description We are looking for a skilled individual to join our rapidly growing team at Bluelight. This position is ideal for someone who thrives in a fast-paced, dynamic environment where everyone's opinions and efforts are valued and appreciated. You will have the opportunity to contribute to challenging and meaningful projects, developing high-quality applications that stand out in the market. We value continuous learning, personal growth, and hard work, offering a collaborative environment that promotes professional development. If you are passionate about software development and eager to be part of a growing software consultancy, we invite you to apply and join us on this exciting journey. - ETL Data Engineering: Develop and maintain ETL data engineering processes using Python (PySpark) within Azure Synapse Analytics Notebooks, and/or Azure Synapse Analytics Pipelines, to ensure efficient data extractions, transformation, and loading. - Data Warehousing: Apply your expertise in data warehousing, understanding star schemas, facts, and dimensions, to design and build effective data storage structures in a Massively Parallel Processing (MPP) SWL Pool. - Data Source Expertise: Extract data from various sources, including REST APIs, SWL database tables, and CSV files. - Azure Synapse Analytics Expertise: Utilize your deep knowledge of Azure Synapse Analytics to design and optimize data notebooks/pipelines for scalability and performance. - Data Fabric Concepts: Contribute to the implementation and understanding of other Data Fabric concepts, such as data lakes, lakehouses, delta lakes, and data cataloging, to enhance data management capabilities. - Data Modeling: Collaborate with data architects to create data models and schemas that align with business requirements. - Data Quality: Implement data quality checks and validation processes to maintain data accuracy and consistency. - Performance Tuning: Identify and resolve performance bottlenecks and optimize ETL data notebooks/pipelines to meet SLAs. - Monitoring and Troubleshooting: Monitor ETL jobs, diagnose issues, and implement solutions to ensure data pipeline reliability. - Documentation: Maintain comprehensive documentation of ETL data engineering processes, data flows, and data transformations. - Collaboration: Work closely with cross-functional teams to understand data requirements and provide support for data-related initiatives. - Security and Compliance: Ensure data security and compliance with data governance and privacy standards. Qualifications - Bachelor’s degree in Computer Science, Information Technology, or a related field; or equivalent work experience, with certifications related to data engineering or data science (e.g. Azure Data Engineer) being a plus. - Proven experience in ETL data engineering with significant expertise in using Python (PySpark) to perform data extraction, transformation, and loading from REST APIs, SQL database tables, and CSV files. - Proficiency in using Azure Synapse Analytics resources including Notebooks, Pipelines, Linked Services, and Azure Key Vault. - Demonstrated ability to write complex SQL queries, optimize query performance, and work with both SparkSQL and MS SQL to effectively extract, transform, and load data. - Knowledge of data integration best practices and tools. - Experience with version control systems, such as Git (Azure DevOps). - Strong problem-solving and analytical skills, with a keen attention to detail. - Excellent communication skills, both verbal and written, with the ability to work collaboratively in a team environment with shifting priorities. - Familiarity with big data technologies, machine learning, and data analysis preferred. - Experience with data visualization tools (e.g. Power BI, Tableau) and Agile Methodologies a plus. Benefits - Competitive salary and bonuses, including performance-based salary increases. - Generous paid-time-off policy. - Flexible working hours. - Work remotely. - Continuing education, training, conferences. - Company-sponsored coursework, exams, and certifications.