Sr Business Value Advisor Aws Cloud Economics jobs at Amazon in Brazil, São Paulo

In this role, you'll be at the forefront of designing and implementing BI solutions for Amazon Marketplace. Your expertise will be crucial in transforming complex data into actionable insights, driving data-driven decision making across the organization. You'll develop and execute BI roadmaps, collaborating with stakeholders from various teams to ensure our marketplace continues to grow and succeed in the LATAM region.Key job responsibilities
Data Analysis & Management- Write and optimize SQL queries to extract and analyze complex datasets
- Develop and maintain ETL processes for reporting solutions
- Ensure data quality, consistency, and accuracy across local and global platformsCollaboration & Strategy- Transform business requirements into effective analytical solutionsTechnical Infrastructure
- Manage local data infrastructure and reporting systems
- Implement best practices for data storage, retrieval, and analysis
- Ensure system performance and reliability

- 2+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience
- Experience with data visualization using Tableau, Quicksight, or similar tools
- Experience with one or more industry analytics visualization tools (e.g. Excel, Tableau, QuickSight, MicroStrategy, PowerBI) and statistical methods (e.g. t-test, Chi-squared)
- Experience with scripting language (e.g., Python, Java, or R)

- Master's degree, or Advanced technical degree
- Knowledge of data modeling and data pipeline design
- Experience with statistical analysis, co-relation analysis

Key job responsibilities- Build self-service reporting platforms, establishing automated processes for large scale data analyzis.
- Understand and write high quality SQL queries to retrieve and analyze data.
- Extract, Transform and Load data to build new reporting solutions.

- Experience using Cloud Storage and Computing technologies such as AWS Redshift, S3, Hadoop, etc.
- Knowledge of data warehousing and data modeling
- Experience with statistical analytics and programming languages such as R, Python, Ruby, etc.
- Master's degree in statistics, data science, or an equivalent quantitative field

Key job responsibilities
• Diving deep into customer segment needs and goals to develop targeted enablement strategies
• Collaborating with field sales teams to understand and address customer challenges
• Leading consultative teams that drive cloud adoption and innovation across global customers
• Through close partnership with Strategy and Operations teams, designing both customized and standardized solutions that accelerate our customers' cultural and technological transformation.
• Taking ownership of all programmatic activities for customer engagements including planning, reporting and risk mitigation
• Crafting monthly and quarterly business reviews to AWS leadership to surface key business insightsA day in the life
In this role, you'll be instrumental in helping organizations navigate their cloud journey by developing and implementing comprehensive training and enablement solutions that drive meaningful business outcomes.About AWS
Diverse Experiences
AWS values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.Mentorship & Career Growth
We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.Work/Life Balance

- 10+ years of building and leading large teams and working in matrixed operating structures experience
- Bachelor's degree or equivalent
- Experience working and communicating with multiple stakeholders, C-level executives and cross functional teams or equivalent
- Experience in strategic thinking about business, enterprise software products, and new technology platforms and architectures or equivalent

- 5+ years of managing and developing high performance teams experience

The Amazon Web Services Professional Services (ProServe) team is seeking a skilled Delivery Consultant to join our team at Amazon Web Services (AWS). In this role, you'll work closely with customers to design, implement, and manage AWS solutions that meet their technical requirements and business objectives. You'll be a key player in driving customer success through their cloud journey, providing technical expertise and best practices throughout the project lifecycle.
Possessing a deep understanding of AWS products and services, as a Delivery Consultant you will be proficient in architecting complex, scalable, and secure solutions tailored to meet the specific needs of each customer. You’ll work closely with stakeholders to gather requirements, assess current infrastructure, and propose effective migration strategies to AWS. As trusted advisors to our customers, providing guidance on industry trends, emerging technologies, and innovative solutions, you will be responsible for leading the implementation process, ensuring adherence to best practices, optimizing performance, and managing risks throughout the project.
• Experience with source control repositories (e.g. GitHub/GitLab, SVN, Mercurial, and Perforce)
• Hands-on experience with Continuous Integration and Continuous Delivery (CI/CD) tools, such as: Jenkins, Bamboo, and Team City
• Exposure to APIs, microservices, and distributed application architecturesKey job responsibilities
As an experienced technology professional, you will be responsible for:
1. Designing and implementing complex, scalable, and secure AWS solutions tailored to customer needs
2. Providing technical guidance and troubleshooting support throughout project delivery
3. Collaborating with stakeholders to gather requirements and propose effective migration strategies
4. Acting as a trusted advisor to customers on industry trends and emerging technologies
5. Sharing knowledge within the organization through mentoring, training, and creating reusable artifacts

- 2+ years of cloud architecture and solution implementation experience
- Bachelor's degree or above in Computer Science, Computer Engineering, or related fields
- • 2+ years of programming in Java, C++, Python or related language experiance

- AWS experience preferred, with proficiency in a wide range of AWS services (e.g., EC2, S3, RDS, Lambda, IAM, VPC, CloudFormation)
- Strong communication skills with the ability to explain technical concepts to both technical and non-technical audiences
- 2+ years of software development or application engineering with recent coding experience in one or more modern programing languages such as: Java, JavaScript (Node.js, Angular, JQuery, etc.), Python, Amplify, React, Typescript, Bash, Powershell, Lambda, C/C++, C#
- Experience with source control repositories (e.g. GitHub/GitLab, SVN, Mercurial, and Perforce)
- Hands-on experience with Continuous Integration and Continuous Delivery (CI/CD) tools, such as: Jenkins, Bamboo, and Team City
- Exposure to APIs, microservices, and distributed application architectures
- Experience with AWS CloudFormation, Chef, Puppet, Saltstack, or Ansible in production environments

You will work directly with customers and innovate in a fast-paced organization that contributes to game-changing projects and technologies. You will design and run experiments, research new algorithms, and find new ways of optimizing risk, profitability, and customer experience.We’re looking for top architects, system and software engineers capable of using ML, Generative AI and other techniques to design, evangelize, implement and fine tune state-of-the-art solutions for never-before-solved problems.Key job responsibilities
• Collaborate with AI/ML scientists and architects to research, design, develop, and evaluate generative AI solutions to address real-world challenges
• Interact with customers directly to understand their business problems, aid them in implementation of generative AI solutions, brief customers and guide them on adoption patterns and paths to production
• Create and deliver best practice recommendations, tutorials, blog posts, sample code, and presentations adapted to technical, business, and executive stakeholder
• Provide customer and market feedback to product and engineering teams to help define product direction
About the team
Diverse Experiences
Amazon values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.Why AWSMentorship and Career Growth
We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.Work/Life Balance

- Bachelor of Science degree in Computer Science, or related technical, math, or scientific field (or equivalent experience)
- 3+ years of experience in designing, building, and/or operating cloud solutions in a production environment
- 2+ year experience hosting and deploying ML solutions (e.g., for training, fine tuning, and inference)
- 2+ years of hands on experience with Python to build, train, and evaluate models
- 2+ years of technical client engagement experience
- Ability to communicate in a business setting in English

- Masters or PhD degree in computer science, or related technical, math, or scientific field
- Strong working knowledge of deep learning, machine learning, generative AI, and statistics
- Experience building generative AI applications on AWS using services such as Amazon Bedrock and Amazon SageMaker
- Experience communicating across technical and non-technical audiences, including executive level stakeholders or clients
- Experience building cloud solutions with AWS

Key job responsibilities
- Create and annotate high-quality complex training data in multiple modalities (text, image, video) on various topics, including technical or science-related content
- Write grammatically correct texts in different styles with various degrees of creativity, strictly adhering to provided guidelines
- Utilize Python and SQL to automate and optimize data processing workflows
- Interpret technical documentation to implement solutions accurately
- Dive deep into issues and implement solutions independently
- Identify and report tooling bugs and suggest improvements
- Make sound judgments and logical decisions when faced with ambiguous or incomplete information

- - Bachelor’s degree in a relevant field or equivalent professional experience.
- - Advanced English-level language proficiency (C1+ or equivalent fluency by Common European Framework of Reference for Languages (CEFR) standards).
- - Proven experience working with written language data, including experience with annotation, and other forms of data markup.
- - Familiarity with critical concepts such as Python, scripting language, data structures etc.

- - Ability to adapt well to fast-paced environments with changing circumstances, direction, and strategy.
- - Experience managing stakeholder relationships across departments.
- - Advanced-level proficiency in multiple languages (C1+ or equivalent fluency by Common European Framework of Reference for Languages (CEFR) standards).

As a Lab support technician, you will be responsible for performing various tasks throughout the facility. We are looking for candidates who thrive in a fast paced, start-up like environment. To be successful you need to be highly motivated and detail oriented while showing the highest standards of execution.Key job responsibilities
- Operation of environmental test chambers (Thermal cycling, vacuum, HALT/HASS)
- Install instrumentation on various types of hardware and fixtures
- Execute electronic test procedures for component and system level testing
- Receive shipments and coordinate deliveries with recipients (Using forklifts, pallet jacks, etc)
- Update and repair electrical assemblies and subsystems
- Assemble tooling and assist with equipment maintenance.New hires will need to meet the following criteria:
- Must be willing and able to work on powered equipment-for example forklift or cherry picker
Export Control Requirement:A day in the life
Laboratory setting with specialized test equipment
May require occasional extended hours to complete critical test campaigns

- Experience configuring, deploying, and testing software updates, including the ability to identify issues and escalate to development as appropriate
- - Bachelor's degree in Engineering (Mechanical, Electrical, Aerospace) or related technical field

- Experience with lab safety, security and quality practices
- - Experience with space hardware testing protocols