Role Description The Data Entry Specialist plays a critical role in ensuring the accuracy, integrity, and timely processing of participant information within PlanSmart. This position is responsible for reviewing, interpreting, and processing participant documentation across multiple operational queues while maintaining strict adherence to quality standards, compliance requirements, and service level expectations. - Process participant documentation through multiple operational work queues, including Scan Queue, Data Entry Element Queue, Fax Queue, Returned Mail Queue, Manual Audits, Gatekeeping Queue, and CAM Queue. - Review, interpret, and validate participant documentation, including identification records, tax documents, forms, and verification materials. - Accurately extract and enter required data elements into PlanSmart and related systems. - Ensure all transactions meet established quality, compliance, and processing standards. - Identify, research, and escalate discrepancies, incomplete documentation, or processing exceptions. - Maintain data accuracy and integrity while processing high volumes of participant records. - Support audit readiness through thorough and accurate documentation practices. - Adhere to established service level agreements and processing turnaround requirements. - Manage workload effectively while balancing competing priorities and deadlines. - Follow all company policies and procedures related to data privacy, confidentiality, and information security. - Collaborate with team members and leadership to resolve processing issues and improve operational efficiency. - Meet and/or exceed productivity, accuracy, and quality performance expectations. Qualifications - High school diploma or equivalent required. - 1+ years of data entry, document processing, administrative support, or related experience. - Experience working in production-based or high-volume processing environments preferred. - Experience handling confidential or sensitive information preferred. - Strong computer proficiency and experience navigating multiple systems simultaneously. - Working knowledge of Microsoft Office applications, including Outlook, Word, and Excel. - Experience reviewing and interpreting documents for accuracy and completeness. - Ability to work independently while maintaining consistent productivity and quality standards. Requirements - Exceptional attention to detail and commitment to accuracy. - Strong data entry skills with the ability to process information efficiently and accurately. - Ability to interpret scanned images and extract required information from various document types. - Strong organizational and time management skills. - Ability to work effectively in a high-volume, deadline-driven environment. - Analytical thinking and problem-solving skills to identify inconsistencies or missing information. - Ability to apply processing guidelines, business rules, and compliance requirements consistently. - Strong written and verbal communication skills. - Ability to adapt quickly to changing priorities, processes, and business needs. - Demonstrated accountability for quality, productivity, and overall performance. - Ability to maintain focus and accuracy during repetitive processing tasks. - Familiarity with PlanSmart or similar data management systems preferred. - Strong understanding of confidentiality standards and secure handling of sensitive personal information. - Ability to research issues, make appropriate processing decisions, and escalate exceptions when necessary. - Commitment to maintaining a minimum accuracy standard of 99%. Work Conditions - Fast-paced, production-based work environment with high volumes of document review and data entry activities. - Performance measured through productivity, quality, accuracy, timeliness, and compliance metrics. - Standard operational queues are expected to be processed within established service level agreements, including a three-business-day turnaround for standard queues. - CAM Queue determinations must be completed within 30 calendar days. - Requires prolonged periods of computer usage, document review, and data entry. - Regular handling of highly sensitive participant information, including Social Security Numbers, tax documents, names, addresses, and other personally identifiable information. - Strict adherence to data privacy, confidentiality, and security requirements is required at all times.

Role Description Design and build analytic solutions that will inform business decisions, drive operations, measure our performance and demonstrate our value as a company. Serving as a senior individual contributor (IC) technical lead, this role supports the entire Analytics team by establishing analytics best practices, modernizing our data infrastructure, and driving AI-enabled development. This professional acts as a key business and technical partner across Member Outreach, Provider Networks, Gaps in Care, and Clinical Operations stakeholders, ensuring analytic insights and core data architecture are delivered in a way that adds scalable value. - Establish credibility and trusted working partnerships with clinical, operational and research leaders to identify levers for broad system change, pull them, and measure and communicate the results. - Architect and lead hands-on development of complex, enterprise-grade analytics and reporting solutions supporting the entire Analytics organization. - Implement and configure reporting technologies in the Google tech stack (BigQuery, Looker), as well as advanced dbt data modeling and complex SQL. - Design, standardize, and manage enterprise Semantic Models / Context (e.g., dbt Semantic Layer, Looker LookML) to ensure a single source of truth for metrics across business domains. - Champion and embed AI workflows and AI-enabled development tools (e.g., Copilot, LLM-driven query generation, automated documentation) into the daily analytics lifecycle to accelerate team velocity. - Enforce modern analytics engineering standards, including version control (Git), branch strategies, pull request code reviews, and CI/CD testing frameworks. - Perform complex descriptive analyses over production-scale data sets to drive business decisions. Critically interrogate and interpret data to spot patterns and explain data. - Build-out real-time reporting (both tabular and visual) and work with data tooling across Clinical, Product and Market. - Ensure data quality and validation by building automated dbt testing and data cleansing techniques to correct both ad hoc and systemic issues. - Drive automation capabilities into reporting solutions and data pipelines. - Retain and govern our central analytics dbt repository, semantic definitions, and technical documentation. - Documentation and maintenance of domain-specific analytics roadmaps in partnership with team lead analysts. - Serve as a technical mentor and sounding board for analysts across the department, elevating the team's engineering rigor and modern tooling adoption. - Delivery of analytics supporting broad business needs and achieving a high rate of adoption for data-driven recommendations. Qualifications - Bachelor's degree in Computer Science, Data Science, Statistics, Mathematics, or a related quantitative field (or equivalent practical experience). - 7+ years of experience in advanced analytics or analytics engineering, delivering scalable solutions in production data environments. - Deep expertise in dbt, complex SQL, and cloud data warehouses (Google Analytics tech stack: BigQuery, Looker highly preferred). - Hands-on experience building and maintaining enterprise Semantic Layers / Models and metrics frameworks. - Proven fluency with software engineering best practices for data teams, including Git / GitHub version control and CI/CD workflows. - Experience leveraging AI workflows & AI-assisted development tools to optimize code generation, data pipeline building, and documentation. - Demonstrated success acting as an IC technical lead, mentoring analysts, and establishing team-wide analytics standards. Requirements - We take into account an individual’s qualifications, skillset, and experience in determining final salary. - This role is eligible for health insurance, life insurance, retirement benefits, participation in the company’s equity program, paid time off, including vacation and sick leave. - The actual offer will be at the company’s sole discretion and determined by relevant business considerations, including the final candidate’s qualifications, years of experience, skillset, and geographic location. - The expected salary range for this position is: $110,000.00 - $145,000.00 Annual. Benefits - Cityblock values diversity as a core tenet of the work we do and the populations we serve. - We are an equal opportunity employer, indiscriminate of race, religion, ethnicity, national origin, citizenship, gender, gender identity, sexual orientation, age, veteran status, disability, genetic information, or any other protected characteristic. - We do not accept unsolicited resumes from outside recruiters/placement agencies. Cityblock will not pay fees associated with resumes presented through unsolicited means.

• Process participant documentation through multiple operational work queues, including Scan Queue, Data Entry Element Queue, Fax Queue, Returned Mail Queue, Manual Audits, Gatekeeping Queue, and CAM Queue • Review, interpret, and validate participant documentation, including identification records, tax documents, forms, and verification materials • Accurately extract and enter required data elements into PlanSmart and related systems • Ensure all transactions meet established quality, compliance, and processing standards • Identify, research, and escalate discrepancies, incomplete documentation, or processing exceptions • Maintain data accuracy and integrity while processing high volumes of participant records • Support audit readiness through thorough and accurate documentation practices • Adhere to established service level agreements and processing turnaround requirements • Manage workload effectively while balancing competing priorities and deadlines • Follow all company policies and procedures related to data privacy, confidentiality, and information security • Collaborate with team members and leadership to resolve processing issues and improve operational efficiency • Meet and/or exceed productivity, accuracy, and quality performance expectations

Role Description Data Analyst Sr position in the insurance sector, located in Mexico City, with a home office work modality. - Modelado analítico, conocimiento del modelo medallón, SQL. - Diseño de soluciones de datos. - Establecer la documentación completa de los requerimientos de datos. - Interpretar y analizar datos utilizando herramientas para consultas a base de datos y herramientas de reporteo. - Manejo a nivel básico de herramientas de consulta de datos (SQL Developer, Toad, etc.). - Extracción de datos desde fuentes primarias (legados) y secundarias (productos derivados). - Conceptos de Bases de datos relacionales, Data Management (ETL, Datamarts, BI). - Colaborar con el Product Owner y diseñar la visión completa del producto de datos a desarrollar. - Documentar y publicar el glosario de negocio en el meta data manager. - Revisar la implementación de las soluciones diseñadas y validar que los desarrollos cumplen con las reglas y procesos definidos. - Validar las reglas para casos de pruebas UAT. Qualifications - Ingeniería en Sistemas, Licenciatura en Informática, Actuaría o carrera afín. - Más de 4 años de experiencia. - Inglés intermedio. - Herramientas de Análisis y Reportes (Power BI o similar). - Deseable certificaciones de los conceptos técnicos listados. Requirements - Trabajo bajo presión. - Calidad en el trabajo y orientado a resultados. Benefits - Compensación competitiva y beneficios superiores a los de Ley. - Ambiente de trabajo colaborativo basado en 7 valores: Honestidad, Audacia, Confianza, Libertad, Espíritu de Equipo, Modestia y Diversión. - Oportunidades para planear y desarrollar tu carrera. Company Description Capgemini has developed proprietary methodologies globally: Collaborative Business Experience and Rightshore. Our headquarters are in Paris, France, and we have a presence in over 50 countries, with more than 340,000 professionals in Mexico, located in Mexico City, Aguascalientes, and Monterrey. At Capgemini Mexico, the goal is to attract the best talent and achieve a diverse and inclusive work environment.