• Maintain day-to-day bookkeeping in QuickBooks Online, keeping records current (no backlog) • Reconcile accounts and transactions on a regular basis • Prepare accurate summaries to support executive-level financial visibility • Flag discrepancies or issues proactively • Enter and maintain project data in Builder Trend • Support general data entry and administrative record-keeping needs • Help keep project and financial information organized and easy to reference • Remain responsive to tasks and communication throughout the working day • Flexible on specific daily hours, provided tasks are completed reliably and on time

Role Description The Data & Decision Science (D&DS) team is the most fluid and dynamic team at C2FO. At any given time, the members of the department contribute to multiple projects. It consists of the Data Engineering, Data Science and Analytics, Data Operations, and Business Intelligence teams. As an organization, C2FO believes that data is the lifeblood for any technology-based company. Our Data teams use cutting edge, open source technologies to collect, process, store, and leverage data. The D&DS team is responsible for C2FO’s end-to-end data solutions, focusing on: - Data architectures - Data science and machine learning - Business intelligence and analytics - Overall data strategy Empowered by the flexibility of cloud-based hosted computing, and spread across India and the US, collectively, these teams are responsible for leveraging both internal and external data that helps C2FO innovate, take data backed decisions, and solve complex business problems such as customer acquisition and retention. Qualifications - Freshers or 1 to 2 years of experience - Bachelor’s degree in business or related field (additional experience in this area a plus) - Intermediate SQL experience - Familiarity with Salesforce and data visualization tools (Tableau and Power BI) Requirements - Excellent ability to quickly troubleshoot, problem solve, and analyze - Intermediate knowledge of Microsoft Excel - Ability to multi-task and prioritize multiple requests and projects - Excellent research acumen - Data management experience (data quality, data standardization, and data governance) - Strong attention to detail and desire for accuracy and excellence in all tasks - Ability to learn in a fast-paced environment - Ability to work independently and as part of a team - Ability to assist in defining, developing, testing, and implementing business solutions Benefits - Comprehensive benefits package - Flexible work options for work/life balance - Volunteer time off Commitment to Diversity and Inclusion C2FO believes that unique backgrounds and individual voices strengthen our team, leading to the best ideas and discoveries for our innovative and growing company. We seek, encourage, and nurture diverse perspectives, welcoming those of all backgrounds to help us change the way global businesses of all sizes gain access to working capital. As an Equal Opportunity Employer, we not only value diversity and equality, but we also empower our team members to bring their authentic selves to work every day. Our goal is to create a workplace that reflects the communities we serve and our global, multicultural clients. We do not discriminate based on race, religion, color, sex, gender identity, sexual orientation, age, non-disqualifying physical or mental disability, national origin, veteran status or any other basis covered by appropriate law. All employment decisions are based on qualifications, merit, and business needs.

Role Description En SIDN te queremos. ¿Eres una persona apasionada por el análisis de datos, la estrategia de negocio y los canales digitales? Desde el área de Analítica/Data Driven de SIDN Digital Thinking estamos buscando a nuestra nueva incorporación. Si tienes al menos 4-5 años de experiencia en proyectos relacionados con medición avanzada de datos, trabajando codo con codo con el cliente, desarrollando soluciones avanzadas y estrategias en entornos B2B y B2C, ¡eres la persona que estamos buscando! - Desarrollar y optimizar la arquitectura de medición tanto para web como para aplicaciones móviles. - Establecer y supervisar los modelos de datos y la arquitectura del Data Layer. - Liderar implementaciones avanzadas en Google Tag Manager y Google Tag Manager Server-Side. - Ajustar y mejorar la configuración de eventos, embudos de conversión y audiencias en GA4. - Asegurar la integridad y precisión de los datos a través de pruebas y protocolos de validación rigurosos. - Conectar las soluciones analíticas con el ecosistema de Google, tales como BigQuery y distintas herramientas de BI. - Configurar y verificar el seguimiento de campañas, incluyendo la gestión de atribución y datos de conversión. - Trabajar junto a los equipos de negocio para transformar sus requerimientos en soluciones técnicas tangibles. - Establecer mejores prácticas y metodologías, además de servir de mentor para los miembros menos experimentados del equipo. Qualifications - Una trayectoria de al menos 4-5 años en el ámbito de la analítica digital técnica. - Antecedentes en sectores como el ecommerce, medios digitales o entornos de negocio online. - Grado en Administración de Empresas, Marketing Digital, Estadística, Ingeniería Informática o áreas relacionadas. - Certificaciones o másteres en Google Tag Manager, Google Analytics, o herramientas de análisis similares serán valoradas positivamente. Requirements - Competencias técnicas clave: Google Tag Manager, Google Tag Manager Server Side, Google Analytics 4, Data Layer, JavaScript, Medición de aplicaciones móviles en Firebase y Appsflyer, BigQuery y SQL, Tracking de campañas, Integración de herramientas de analítica y visualización de datos. - Capacidad para dirigir iniciativas técnicas de alta complejidad. - Trabajo en equipo: capacidad para colaborar eficazmente con diferentes áreas. - Enfoque analítico y capacidad resolutiva ante problemas. - Comunicación efectiva: habilidades comunicativas para interactuar tanto con perfiles técnicos como de negocio. - Planificación y organización: mentalidad enfocada en la mejora continua, trabajo por proyectos y en la búsqueda de soluciones en equipo. - Adaptabilidad: capacidad para aprender rápidamente nuevas herramientas y adaptarse a entornos cambiantes. - Orientación al cliente: habilidad para entender el impacto y cómo se traduce tu trabajo en soluciones accionables para nuestros clientes. Benefits - Programa de onboarding diseñado para que te integres rápidamente en la compañía. - Vacante en Full remote (flexibilidad total). - 25 días de vacaciones por convenio. - Tu cumpleaños libre para celebrarlo como prefieras. - Long Weekends: ¡12 viernes al año libres! - Mes adicional por baja de maternidad o paternidad. - Programas de formación interna y externa adaptados a tus necesidades. - Acceso ilimitado a libros y recursos de aprendizaje. - Equipamiento de oficina premium y herramientas de monitorización avanzadas. - Descuentos en marcas líderes del mercado. - Planes de voluntariado y de inclusión. - Un entorno dinámico y colaborativo con un equipo apasionado.

Role Description Own the data layer that makes complex litigation possible. This role is responsible for the technical data operations that underpin every case on Syllo's platform, from collection and processing through production and quality control. You will work directly with Client Services pods and internally with Product and Engineering to ensure data integrity at every stage. We are looking for someone with hands-on EDRM lifecycle experience, deep platform fluency, and the judgment to know when a data issue is a technical quirk versus a signal something is wrong. What you will do - Own data operations: Manage ingestion, processing, and production workflows across active cases. Validate every output before it reaches the client. - Own quality control: Apply systematic QC standards across all data outputs, documenting findings and resolving issues before they reach the client or the pod. - Resolve complex data issues: Diagnose and resolve collection anomalies, processing failures, metadata errors, and production format disputes. - Advise on data strategy: Help clients structure their data workflows, processing specs, and review protocols for efficiency and defensibility. - Serve as the pod liaison: Receive data handoffs from Client Services pods, document chain of custody, and ensure all requirements are captured before work begins. Manage intake through a dedicated queue and communicate proactively about capacity and timelines. - Partner with Engineering and Product: Surface recurring data-layer issues, document edge cases, and contribute to platform improvement through product testing and timely feedback. - Build documentation: Create and maintain processing guides, QC checklists, and workflow standards that hold up as the client base grows. Qualifications - EDRM depth: You have owned the full lifecycle, from collection through production, on complex commercial cases with high data volumes. - Quality discipline: Your QC process is systematic, documented, and does not depend on memory. - Platform fluency: Hands-on experience with Relativity, Everlaw, Nuix, or comparable platforms. You can troubleshoot, not just operate. - Metadata and data structure knowledge: You understand file formats, processing parameters, load file specs, and why metadata integrity matters. - Cross-functional communication: You can explain a data issue to an attorney and a technical root cause to an engineer. Requirements - 3+ years in eDiscovery, litigation support, or a data-focused legal role. - Hands-on EDRM lifecycle experience from collection through production on complex commercial cases. - Proficiency with at least one major eDiscovery platform; Relativity RCA or equivalent preferred. - Comfort working with metadata, large datasets, and technically complex data requests. - Experience with ticketing systems such as Jira or Linear is a plus. - Experience collaborating with engineering or product teams is a plus. - High aptitude for learning new software tools and enthusiasm for AI-powered products. Benefits - Compensation: Competitive base salary + equity options. - Benefits: Medical, dental, vision, and voluntary insurance options. Vacation, sick leave, and paid holidays. Access to benefit counselors and fitness class reimbursements. - Growth: Annual learning and development budget and real career growth in a fast-scaling organization. Equal opportunity employer We celebrate diversity and are committed to creating an inclusive environment for all employees. We provide a fair and accessible hiring process. If you require accommodations during the application or interview stage, please let us know. United States - Remote Pay Range $120,000 — $140,000 USD