• Partner with distributed data teams to build, iterate, and optimize our corporate data architecture • Design, build, and maintain production-quality dashboards and scalable data products • Build advanced analytical models to unlock deeper insights into customer behaviors and macro trends • Synthesize complex data and analyses into compelling, structured narratives and actionable insights for executive consumption • Lead cross-functional projects to develop datasets • Set a high bar for analytics integrity across the organization

• Collaborate with business stakeholders in helping identify which metrics are the most useful to track, how should they be defined, and how can they be improved. • Provide ideas backed by analysis on how to improve status quo and finding new solutions and levers to improve business and clinical efficacy. • Build relationships and trust with business partners. • Use data, information, analysis and modeling to find ways to improve key metrics, optimize operations and clinical efficacy. • Partner closely with the Data Warehousing team function in designing business-facing semantic layers (data marts) and foundational information structures that’ll feed into analytics. • Serve as a subject matter expert for business rules and logic (clinical and non-clinical) to convert information into operational and clinical metrics and KPIs. • Partner with the Data Warehousing team in the design and development of a single source of truth repository for the company’s clinical and operational data. • Communicate effectively to business users, stakeholders and leaders on how business and clinical logic is applied to information points to arrive at key KPIs and metrics, why we’re measuring what we’re measuring, and how operational activities interlink to KPIs, OKRs etc. • Help with the build-out and maintenance of an enterprise KPI catalog and dictionary. • Actively participate in KPI/metrics governance. • Work with influence, without ego and exhibit a collaborative spirit, with an unyielding motivation to do what’s best for the organization. • Complete all required documentation in a timely and accurate manner. • Protect privacy and maintain confidentiality of all company procedures and information about team members, participants, and families. • Follow WelbeHealth policies and procedures and participate in any required Quality Improvement activities, staff training and meetings.

What's the role? We are seeking a Community & Data Acquisition Analyst I (Mexico) to support the identification, engagement, and growth of data communities across Latin America. This role combines data operations with community intelligence: you will proactively research, validate, and acquire geospatial and structured datasets from diverse sources, while building relationships with contributors, partners, and digital communities in the region. The ideal candidate is highly tech-savvy, curious, and comfortable navigating ambiguity capable of working with CRM systems, dashboards, and data pipelines while translating community interactions into actionable data assets. You will collaborate cross-functionally, document workflows, and ensure data quality, leveraging tools such as Jira, SugarCRM, and the Microsoft Office suite to manage operations, track requirements, and communicate insights. Effectively, the Data Acquisition & Community Analyst I is responsible for• Executing on the sub-regional data acquisition and community strategy in the defined area of focus.• Development and maintenance of a predefined pipeline of DAC opportunities per given priorities and per management guidance within a territory to support defined HERE products and services requirements within scope, budget, timeframe and quality criteria.• Support the delivery of unplanned, on-demand acquisition and crowdsourcing needs within the sub-region per tasks given.• Development of good knowledge and local footprint to promote HERE externally. Main responsibilities: 1. Develops a good understanding of the data market for a defined country to support GPP team building relationship with local players within the data market. 2. Support the team's ambition to develop and maintain a healthy pipeline of data opportunities for the area of responsibility that may also supports the supply liquidity of the HERE Marketplace. 3. Executes the data acquisition and community plan for the respective area of responsibility to meet the scope, budget, timeframe, and quality requirements of HERE Products and Services. 4. Supports the team's ambition to develop and maintain HERE brand awareness in the market. 5. Based on area of focus, provides local data market insights and feedback to internal stakeholders via line management. 6. Supports the team in their data acquisition and community activities when required. Who are you? You bring: - Strong analytical thinking and problem-solving skills with a high attention to data quality. - Ability to work effectively in fast-paced, multicultural environments. - Proactive mindset with a commitment to continuous learning and improvement. - Experience managing multiple stakeholders and translating business needs into structured data initiatives. - Fluency in Spanish and English (required); Portuguese (Brazil) is a strong plus. - Experience working with CRM tools and customer data. - Familiarity with Agile methodologies and tools such as Jira. - Experience with data handling, validation, analytics, and reporting. - Ability to stay organized and manage multiple priorities while delivering accurate results. HERE is an equal opportunity employer. We evaluate qualified applicants without regard to race, color, age, gender identity, sexual orientation, marital status, parental status, religion, sex, national origin, disability, veteran status, and other legally protected characteristics. Who are we? HERE Technologies is a location data and technology platform company. We empower our customers to achieve better outcomes - from helping a city manage its infrastructure or a business optimize its assets to guiding drivers to their destination safely. At HERE we take it upon ourselves to be the change we wish to see. We create solutions that fuel innovation, provide opportunity and foster inclusion to improve people's lives. If you are inspired by an open world and driven to create positive change, join us. Learn more about us on our YouTube Channel.

Role Description A área de Engenharia Centrada em IA é dinâmica e empolgante, fazendo parte do Escritório do CTO (OCTO) da Dell. Conduzimos investigações e engenharia voltadas para o futuro da Dell Technologies em um ambiente de alta visibilidade e colaboração intensa. Nossa equipe é especializada no desenvolvimento de soluções avançadas de IA que capacitam a empresa a inovar, se comunicar e otimizar operações de maneiras nunca antes possíveis. Somos compostos por pessoas apaixonadas e dedicadas a ultrapassar os limites da tecnologia de IA. Junte-se a nós como Analista Sênior de Ciência de Dados em nossa equipe de AI Centric Engineering no Brasil (remoto), para fazer o melhor trabalho da sua carreira e gerar um impacto social profundo. Como Analista Sênior de Ciência de Dados, sua principal responsabilidade será investigar e desenvolver tecnologias de ponta para avançar o portfólio da Dell, e influenciar tomadas de decisão com base em análise de dados em profundidade. Você projetará processos para consolidar e examinar dados para gerar insights úteis. Você trabalhará em estreita relação com especialistas em domínios em uma ampla gama de campos. Nós estamos procurando pessoas que estejam confortáveis em aprender e se adaptar facilmente para atender às necessidades de nossa empresa em constante evolução. - Colaborar com equipes internas e externas, atuando de forma próxima a diferentes stakeholders e especialistas de domínio; - Desenvolver e aplicar técnicas e fundamentos de estatística, aprendizado de máquina e inteligência artificial para gerar insights relevantes ao negócio; - Desenvolver algoritmos, softwares e processos automatizados para limpar, integrar, consolidar e avaliar grandes volumes de dados oriundos de fontes diversas; - Trabalhar com diferentes tipos de modelos (incluindo generativos), algoritmos e motores probabilísticos, validando sua efetividade com base em resultados observados na prática. Qualifications - Formação acadêmica: Graduação completa em Ciência da Computação, Engenharia (Computação, Software, Elétrica, Controle e Automação), Estatística, Matemática, Física ou áreas correlatas; - Domínio avançado do inglês, necessário para interação constante com times internacionais; - Conhecimento sólido em linguagem de programação Python; - Modelagem de problemas seguindo fundamentos de ciência de dados; - Conhecimento matemático, habilidades de análise estatística e análise de algoritmos. Requirements - Conhecimento em IA Generativa e experiência com ferramentas colaborativas de desenvolvimento; - Pós-graduação stricto sensu (Mestrado ou Doutorado) em áreas relacionadas à Inteligência Artificial, Aprendizado de Máquina ou Ciência de Dados.