Role Description The Data Visualization Specialist supports Head Start and Early Head Start programs by transforming complex data into clear, actionable visual products that support program oversight, grant administration, operational planning, and data-driven decision-making. Working closely with federal staff and project teams, this role develops dashboards, reports, presentations, infographics, and other data visualization tools that communicate key trends, performance metrics, and insights. The position collaborates with stakeholders to translate business needs and analytical findings into effective visual communications, while supporting reporting, strategic planning, continuous improvement, and organizational efforts to improve outcomes for children and families. How You Contribute to the Team: - Design, develop, and maintain interactive dashboards, infographics, scorecards, and data visualization products that support operational reporting, performance monitoring, and strategic decision-making. - Transform large and complex datasets into clear, visually compelling narratives that communicate trends, patterns, risks, and actionable insights to technical and non-technical audiences. - Develop executive-level presentations, briefing materials, and reporting deliverables that effectively convey analytical findings, program performance, and business outcomes. - Collaborate with cross-functional teams, business stakeholders, analysts, and leadership to gather requirements, define reporting objectives, and deliver visualization solutions aligned with organizational goals. - Apply data visualization best practices, design principles, and storytelling techniques to improve usability, readability, and audience engagement across all reporting products. - Ensure dashboards, reports, and visualizations comply with accessibility, branding, and data governance standards, including usability and Section 508 compliance requirements where applicable. - Support the creation and integration of geospatial mapping, statistical data displays, and interactive visualization tools to enhance analytical reporting capabilities. - Validate data accuracy, consistency, and integrity across visualization products and reporting outputs to ensure reliable and high-quality deliverables. - Optimize visualization performance and functionality across multiple platforms and reporting environments. - Provide recommendations for improving reporting processes, visualization standards, and business intelligence capabilities through innovative and user-focused design solutions. - Perform these and other reasonable tasks as assigned by management in support of BCT’s goals and objectives. Qualifications - Bachelor's degree in Data Visualization, Information Design, Data Science, Statistics, Business Analytics, Communications, Graphic Design, or a related field from an accredited college or university. - Relevant certifications in data visualization, business intelligence, analytics, or related disciplines are a plus. Requirements - At least 3 years of relevant post-baccalaureate professional experience in data visualization, business intelligence, analytics, or related reporting functions. - Minimum 3 years of experience developing presentations, dashboards, reports, and interactive visualization solutions using business intelligence and reporting tools. - At least 3 years of demonstrated experience collaborating with stakeholders, cross-functional teams, and leadership to communicate technical information through visual reporting and data storytelling. - Minimum 2 years of experience applying data visualization design principles, usability standards, and accessibility requirements in reporting and dashboard development. Skills and Expertise: - Strong knowledge of data visualization principles, including layout, color usage, usability, and visual storytelling. - Expertise in Tableau, Power BI, and D3.js for dashboard and report development. - Experience with GIS and geospatial mapping tools for location-based data visualization. - Proficiency with Figma, Canva, and Google Data Studio for presentations, infographics, and reporting materials. - Skilled in designing dashboards, scorecards, infographics, and interactive visualizations. - Knowledge of statistical data displays and data storytelling techniques to communicate insights effectively. - Ability to translate complex datasets into clear, accurate, and visually impactful reports and dashboards. - Understanding of accessibility standards and visualization best practices. - Strong attention to detail, analytical thinking, and problem-solving skills. - Ability to manage multiple projects and collaborate with cross-functional teams effectively. Communication Skills: - Proven ability to effectively communicate to various audiences when speaking and in writing. - Must be able to communicate, collaborate and interact with colleagues in a remote work environment; must participate in virtual meetings, appear on camera as needed, and contribute to meeting content as required. - Proficiency with computer, Internet, Microsoft Office (Outlook, Word, Excel, and PowerPoint); experience with SharePoint and Monday.com desirable. - Experience with video meetings/conferencing (e.g., Zoom, Adobe, MS Teams). - Ability to adapt quickly to new applications. Benefits - Base salary between $65,000 and $80,000. - Partially subsidized medical, dental, and vision coverage. - Fully vested 401k plan with company match. - Company paid life and disability insurance plans. - Paid family leave. - Generous paid time off policy. Company Description BCT is a management consulting firm that tackles complex social problems through data analytics, innovative solutions, and program management. We believe complex issues are best solved through collaboration. As a result, we employ a multidisciplinary approach that combines domain expertise, research, evaluation, technology, organizational development, and a passion for change.

Role Description Buscamos un(a) Científico(a) de Datos con entre 3 y 5 años de experiencia, responsable de diseñar, desarrollar y optimizar modelos analíticos descriptivos, predictivos y prescriptivos que permitan mejorar la toma de decisiones y generar impactos operacionales tangibles, escalables y repetibles para el negocio. - Diseñar modelos analíticos y seleccionar técnicas, variables, codificaciones y algoritmos adecuados. - Desarrollar el código de los modelos y asegurar su correcto funcionamiento. - Analizar grandes volúmenes de datos para generar insights y apoyar decisiones informadas. - Identificar relaciones entre variables y construir soluciones basadas en analítica descriptiva, predictiva y prescriptiva. - Optimizar modelos para asegurar escalabilidad, repetitividad y eficiencia. - Apoyar el roadmap de modelos y actividades analíticas junto con el líder del equipo. - Liderar el monitoreo, mantenimiento y actualización de los modelos implementados. - Co-liderar el despliegue de modelos en ambientes tecnológicos internos junto con Arquitectura de Datos. - Guiar técnicamente a otros científicos de datos del equipo. Qualifications - Experiencia de 3 a 5 años en ciencia de datos o analítica avanzada. - Al menos 2 años de experiencia en modelación analítica predictiva o prescriptiva. - Manejo de grandes volúmenes de datos y estructuras de datos complejas. - Conocimiento en matemáticas aplicadas, inteligencia artificial, machine learning, reinforcement learning, estadística y econometría. - Experiencia en desarrollo integral de soluciones: extracción, modelamiento, despliegue y reportes. - Manejo de Python, Spark/PySpark, SQL, NoSQL, AWS, Azure, Big Data y APIs LLMs. - Conocimiento medio en CI/CD y calidad de datos. - Deseable participación o reconocimientos en concursos de analítica. Requirements - Pensamiento algorítmico. - Capacidad analítica. - Curiosidad intelectual y aprendizaje continuo. - Orientación al cliente. - Entendimiento del negocio. - Trabajo bajo presión. - Capacidad para liderar y guiar equipos analíticos.

Role Description Buscamos un(a) Científico(a) de Datos con entre 3 y 5 años de experiencia, responsable de diseñar, desarrollar y optimizar modelos analíticos descriptivos, predictivos y prescriptivos que permitan mejorar la toma de decisiones y generar impactos operacionales tangibles, escalables y repetibles para el negocio. - Diseñar modelos analíticos y seleccionar técnicas, variables, codificaciones y algoritmos adecuados. - Desarrollar el código de los modelos y asegurar su correcto funcionamiento. - Analizar grandes volúmenes de datos para generar insights y apoyar decisiones informadas. - Identificar relaciones entre variables y construir soluciones basadas en analítica descriptiva, predictiva y prescriptiva. - Optimizar modelos para asegurar escalabilidad, repetitividad y eficiencia. - Apoyar el roadmap de modelos y actividades analíticas junto con el líder del equipo. - Liderar el monitoreo, mantenimiento y actualización de los modelos implementados. - Co-liderar el despliegue de modelos en ambientes tecnológicos internos junto con Arquitectura de Datos. - Guiar técnicamente a otros científicos de datos del equipo. Qualifications - Experiencia de 3 a 5 años en ciencia de datos o analítica avanzada. - Al menos 2 años de experiencia en modelación analítica predictiva o prescriptiva. - Manejo de grandes volúmenes de datos y estructuras de datos complejas. - Conocimiento en matemáticas aplicadas, inteligencia artificial, machine learning, reinforcement learning, estadística y econometría. - Experiencia en desarrollo integral de soluciones: extracción, modelamiento, despliegue y reportes. - Manejo de Python, Spark/PySpark, SQL, NoSQL, AWS, Azure, Big Data y APIs LLMs. - Conocimiento medio en CI/CD y calidad de datos. - Deseable participación o reconocimientos en concursos de analítica. Competencias clave - Pensamiento algorítmico. - Capacidad analítica. - Curiosidad intelectual y aprendizaje continuo. - Orientación al cliente. - Entendimiento del negocio. - Trabajo bajo presión. - Capacidad para liderar y guiar equipos analíticos.

• Responsible for all data management activities in large, complex studies • Primary communication point for project teams and company departments regarding clinical data management • Co-ordinate/perform user acceptance testing • Development of Data Validation Plan/Edit Check Specifications • Data validation and query generation • Coordination of processing, dispatch and archiving of CRFs/queries • Preparation and attendance at audits/inspections of Data Management • Training of Assistant Data Managers and clinical team regarding CRF completion