• Support the data collection and analysis efforts involved with overseeing the implementation of a government program with respect to the care and placement of participants in a network of care providers. • Enhance and develop reporting and analytics capabilities. • Support forecast modeling. • Develop automated reporting solutions and dashboards. • Build briefing products. • Conduct and deliver analyses. • Coordinate/implement data collection efforts. • Performance Management and onboarding: Monitor and support the progress of individual team members on an ongoing basis to ensure that the team is supported and meeting the customer’s delivery requirements. • Provide updates and new guidance to the team as needed per DAIM requirements. • Provide technical assistance to team members as needed. • Provides training for new staff on all elements of DAIM and GDIT processes. • Monitor program areas being supported by GDIT staff and provide suggestions on process improvement when applicable. • Provides oversight of the quality of work and deliverables. • Monitor staff performance, providing additional training and feedback as needed. • Complete Performance Improvement Plans (PIPs) as necessary. • Complete annual performance evaluations and monitor staff’s progress towards annual goals. • Review monthly reports; Approve and submit consolidated reports as needed. • Review and approve timecards, schedules and flex time requests, leave requests, and expense reports as applicable. • Serve as primary point of contact for stakeholder questions, requests, or concerns as it relates to the DAIM team contractor staff or overall output. • Act as mentor and provide training and technical assistance to GDIT contract staff members that support DAIM while also maintaining team specific training materials. • Work within federal staff led functional lanes to enhance the collection and analysis of program data. • Update and develop on-site data collection tools and processes to yield statistically reliable and informative data and support field program assessments. • Assist in identifying performance outcomes and indicators. • Identify uniform data points and conduct high-level data interpretation/analysis using a data analytics platform. • Prepare written summaries and presentations that reflect the results of the data analysis and present findings to agency leadership. • Oversee the quality and the production of both routine and ad hoc analytical reports. • Assist in the training of contractor and field staff on the use of data collection and analysis tools. • Support with projects that promote the continual improvement of data analysis. • Compile, analyze, and visualize data using a data visualization platform such as Power BI or Tableau. • Build data repositories/databases and provide ad-hoc data reporting as needed.

Role Description - Levantamento de requisitos junto aos times de negócio; - Planejamento e desenvolvimento de pipelines de carga de dados; - Criação de relatórios analíticos e Dashboards; - Acompanhamento e resolução de Incidentes. Qualifications - Bacharelado Ciência da Computação, Engenharia ou área relacionada; - Inglês Técnico; - Conhecimento em linguagem de programação SQL ou similares para consultas em bases de dados; - Conhecimento em ferramentas de visualização de dados como Tableau, PowerBI ou similares; - Conhecimento em construção de gráficos e Dashboards; - Conhecimento em modelagem e relacionamento entre tabelas; - Conhecimento básico em programação. Requirements - Desejável: Experiencia com ferramentas de ETL (IBM DataStage, Azure DataFactory, MS Integration Services, ou afins); - Experiencia na criação de Dashboards, com capacidade de coletar, organizar, analisar e disseminar grandes quantidades de informações com atenção aos detalhes e precisão; - Conhecimento em BigData e tratamento de grandes volumes; - Conhecimento em metodologias de Business Intelligence. Benefits - Compromisso em construir uma cultura inclusiva; - Ambiente no qual pessoas possam equilibrar a carreira com seus compromissos e interesses pessoais; - Reconhecimento externo por meio de diversas certificações de mercado; - Premiações pelo Great Place To Work™ em 24 países; - Certificação internacional Top Employers; - Avaliação de 4,6 no Glassdoor.

• Atuar de forma consultiva junto aos clientes internos e demandantes, realizando o levantamento, entendimento e detalhamento das necessidades de negócio, traduzindo-as em requisitos analíticos e soluções orientadas a dados; • Gerenciar e organizar o backlog de demandas analíticas e de dados, conduzindo sessões de refinamento, priorização e alinhamento contínuo com as áreas de negócio e times técnicos; • Desenvolver, processar e analisar grandes volumes de dados utilizando **Databricks**, garantindo desempenho, escalabilidade, segurança e confiabilidade das informações; • Implementar e assegurar o cumprimento das políticas, normas e boas práticas de **Governança de Dados**, incluindo qualidade, rastreabilidade, padronização e segurança da informação; • Contribuir ativamente para a melhoria contínua dos processos de dados, propondo otimizações técnicas e metodológicas; • Explorar, avaliar e aplicar novas abordagens analíticas, tecnologias emergentes e tendências de mercado relacionadas a dados, analytics e engenharia de dados; • Atuar de forma colaborativa em ambientes ágeis, apoiando a tomada de decisão estratégica por meio de análises consistentes e insights relevantes.

• Partner with Operations, Product Management, and leadership teams to define success metrics, evaluate operational performance, and influence servicing strategy through data-driven insights • Build and maintain scalable dashboards, reporting frameworks, and business review materials that enable self-service analytics across Operations teams • Diagnose changes in borrower and operational performance metrics by conducting root cause analyses and identifying actionable recommendations • Lead analytical support for product experiments and operational initiatives, including measurement design, performance evaluation, and strategic recommendations • Identify opportunities to improve operational efficiency and borrower outcomes by connecting insights across servicing workflows, agent performance, and payment behaviors • Translate complex analytical findings into clear business narratives for senior stakeholders, including regular presentations to leadership audiences