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.

Role Description Join our Revenue Strategy and Planning team as a Sr. Staff GTM Strategy Analyst to drive the analytical engine behind our Go-to-Market success. This role is designed for a strategic thinker who can master GTM data to influence executive-level decision-making. You will be responsible for identifying emerging market trends, leading annual planning, and developing the strategic initiatives that fuel our continued profitability and growth. Key Responsibilities: - Architect Annual Planning: Lead the end-to-end annual planning cycle, including revenue forecasting, headcount modeling, and territory design. Advise leadership on the competitive landscape and potential growth opportunities. - Strategic Org Design: Collaborate with Sales and Marketing teams to develop and refine our GTM strategic approach across multiple segments and channels. Identify target market segments, define value propositions, and create go-to-market plans for new products or services. - Revenue Operations: Analyze our revenue operations, identify friction in the sales funnel, and develop strategic plays to optimize conversion and retention. - Executive Engagement: Transform complex datasets into high-level executive narratives using PowerBI to present insights that drive action from Sales and Product leadership. Engage with key stakeholders across the organization to gain alignment and support for the annual Revenue plan. Qualifications - Bachelor's degree in Business Administration, Finance, Economics, or related field. - 5-7 years of experience in GTM strategy and planning or Revenue Operations in the technology industry (experience with usage-based SaaS preferred). - Proficiency in data analytics tools such as Tableau, Power BI, or Salesforce Analytics; strong analytical skills with the ability to interpret complex data sets and generate actionable insights to automate planning models. - Strong financial acumen and ability to develop and manage sales and financial models; understanding the impact of headcount on burn rates and the relationship between commission structures and rep behavior. - Excellent communication and presentation skills, with the ability to effectively communicate insights and recommendations to executive-level stakeholders to gain buy-in for strategic initiatives. Requirements - Nice to have: MBA in Business Administration, Finance, Economics, or related field. Benefits - 100% paid employee health, dental, and vision plans (choose HMO, PPO, or HDHP). - HSA & FSA accounts. - Life Insurance, Long & Short-term disability coverage. - Employee Assistance Program (EAP). - 11+ Observed holidays and wellness days and flexible time off. - Employee Stock Purchase Program with employee discounts. - Wellness & Fitness initiatives. - Employee recognition and referral programs. - And much more.

Role Description The Data Analyst supports the Extremity Trauma and Amputation Center of Excellence (EACE) through advanced data analytics, reporting, visualization, and database management activities utilizing multiple Department of Defense healthcare data systems. - Extract, analyze, validate, and present complex medical and operational data to support clinical research, performance improvement initiatives, leadership reporting, and strategic decision-making. - Ensure compliance with DoD, DHA, HIPAA, and Joint Trauma System standards and procedures. Responsibilities - Summarize data by applying descriptive statistics and data visualization techniques using Microsoft Excel as the primary tool. - Provide updates to EACE leadership and oversight groups on the status of progress and challenges to specific analytics project tasks. - Work with internal and external clients to identify analytical and report requirements and handle special analytical projects as needed. - Run queries on the EACE-Registry data. - Produce standard weekly and monthly reports on the EACE’s population of interest and respond to ad hoc data requests. - Develop, modify, or provide input to data analytics project plans, and implement project plans to meet or exceed objectives. - Run periodic integrity checks and analyze results to ensure data accuracy. - Identify gaps in data comparisons between the EACE-R, MDR, DoDTR, and MOTR. - Provide presentations or briefings on all aspects of the data analysis. - Maintain analytics project SharePoint libraries and implement quality control processes. - Make improvements, solve problems, or take corrective action when problems arise. - Evaluate, monitor, and ensure compliance with laws, regulations, policies, standards, or procedures. - Adhere to Joint Trauma System (JTS), EACE, and DHA data information and data release standard operating procedures. - Provide analytic support and coaching with clinical community customers. - Report any discovered HIPAA violations to EACE leadership. - Manage all system access requests and coordinate EACE leadership approval. - Develop and update dashboards in Tableau software or similar applications. - Extract, manipulate, analyze, and array data for easy understanding. - Respond to requests for information as approved by EACE leadership. - Coordinate and integrate data analytics project activities. - Identify problems, determine accuracy and relevance of information, and make recommendations. - Other duties as assigned. Qualifications - Bachelor’s degree in Data Analytics, Health Informatics, Computer Science, Statistics, Information Systems, Public Health, or related field. - Minimum four (4) years’ professional experience in healthcare data analytics. - Minimum three (3) years’ experience in reading and interpreting medical diagnosis and procedure coding systems including ICD9, ICD10, and CPT. - Minimum two (2) years’ recent experience in SAS and SQL. Preferred Qualifications - Possess an active T3 confidential clearance. Knowledge, Skills and Abilities - Ability to work independently with little to no support. - Proficient in Structured Query Language (SQL). - Experience using Tableau or similar business intelligence/data visualization applications. - Possess advanced proficiency in Microsoft Office Suites, particularly Microsoft Excel. - Experience in constructing and manipulating pivot tables and advanced Excel analytic functions. - Experience in one or more analytical tools such as Python, SAS, SAP Business Objects, or R. - Experience with conducting data quality checks. - Experience with pulling and manipulating data from the Military Health System Data Repository (MDR). - Ability to present data analysis to various groups/individuals. - Ability to interpret medical data from medical records and effectively communicate findings. - Possess strong background in medical diagnosis codes (ICD 9/10, CPT). - Strong written and verbal communication skills, including presentation experience. - Knowledge and understanding of commercial off-the-shelf products and components. - Ability to travel. Physical Demands - Minimal travel may be required. - Regularly required to sit and talk or hear. - Occasionally required to walk, stand, climb, balance, stoop, kneel, crouch, or crawl. - Must occasionally lift and/or move up to 25 pounds. - Specific vision abilities required include close vision. Teleworking Permitted? Yes, with the possibility of 100% remote at the site’s discretion. Estimated Salary/Wage Up to USD $39.87/Hr.

• Query and analyze BSC on-chain data using Dune Analytics, Flipside, or direct node/RPC access to track TVL, DEX volume, wallet behavior, LP dynamics, and protocol health • Profile key ecosystem actors — whales, market makers, curators, liquidity providers — and surface behavioral patterns relevant to strategy and BD decisions • Monitor competitive chains and track cross-chain fund flows and user migration • Produce MEV, arbitrage, and trading infrastructure analyses as needed • Conduct deep-dive analyses of business: AMMs, lending markets, stablecoin mechanisms, staking, and payment rails, etc • Build analytical frameworks to benchmark BNB Chain protocols against competitors • Support evaluation of new protocol integrations, incentive program design, and tokenomics modeling with data • Define and track KPIs across BNB Chain's key product verticals: AI Agent, Payment, Trading, Stablecoin, and Privacy, etc • Analyze developer and user acquisition funnels, retention, and engagement metrics • Evaluate the impact of ecosystem programs (incentives, grants, hackathons) and produce post-mortem reports • Build and maintain dashboards (Dune, Grafana, or equivalent) for internal leadership and public ecosystem transparency • Translate complex on-chain and product data into clear, actionable briefs for non-technical stakeholders • Collaborate with BD, SA, product, and marketing teams to deliver data that directly informs decisions