Are you excited about the cloud computing industry and leveraging data analytics and AI technologies and methodologies? Are you interested in driving business decisions through data analysis, reporting, and KPIs? Do you want to work on a team of Business Intelligence Engineers, and Data Engineers to solve AWS’s most complex business problems through data products?
We’re looking for someone who possesses a solid BI engineering background, familiar with maintaining large data sets, building the datasets needed for analyzing information, identifying key business insights, and working with stakeholders in generating the right metrics to define and measure success. In this role, you will be a technical expert with significant scope and impact. You will work with Sales Operation Leaders, Product Managers and other business users to understand the business requirements and implement reporting solutions. The individual must have the ability to earn trust and communicate effectively across multiple technical and non-technical business units in a global organization. Candidates should possess a keen sense of ownership, collaboration, and desire to learn. Above all the candidate should be passionate about bringing large datasets together to answer business questions and drive change.
In this role, you will own the design and delivery of data products that drive how Specialist measure performance and prioritize customer engagements. You will help drive the team's adoption of AI and Agentic technologies, designing and building autonomous agents, RAG pipelines, and multi-agent orchestration frameworks that transform how the organization consumes and acts on data. You will help define the technical vision for the team's data platform and Agentic AI roadmap. You will raise the technical bar through code reviews, design reviews, and sharing best practices.
The right candidate has deep experience in SQL and data modeling, hands-on proficiency with AWS data and analytics services, and direct experience building with LLMs, Agentic Frameworks, and RAG architectures. You are comfortable translating ambiguous business questions into structured data products. You communicate clearly with both technical and non-technical audiences.
Key job responsibilities
- Architect and develop scalable and resilient data solutions, using both traditional dashboards and AI Agents, enabling self-service business intelligence for analytics users.
- Build ETL pipelines, statistical models, and machine learning solutions using large, multidimensional datasets to uncover trends, patterns, and opportunities.
- Partner with business owners, tech and central teams to integrate machine-learning, generative AI, and automation into scaling our programs and processes
- Collaborate with product managers, engineers, data scientists, and business stakeholders to understand strategies, goals, and objectives, and align the analytics roadmap accordingly.
- Design and implement end-to-end reporting solutions, metrics, dashboards, and automated processes to drive key business decisions and track progress.
- Perform complex analyses to inform product strategy, design, and business priorities, presenting insights and recommendations to senior leadership.
- Continuously improve reporting and processes, automating and scaling solutions while ensuring stability and performance.
- Identify opportunities for new metrics, techniques, and strategies to enhance targeting, measurement, and overall product capabilities.
- Stay up-to-date with industry trends and best practices, contributing to the team's evolution through Agentic AI.
About the team 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.
Why AWS? Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.
Inclusive Team Culture Here at AWS, it’s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness.
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 We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud.
About Sales, Marketing and Global Services (SMGS)
AWS Sales, Marketing, and Global Services (SMGS) is responsible for driving revenue, adoption, and growth from the largest and fastest growing small- and mid-market accounts to enterprise-level customers including public sector.
Basic Qualifications
- 10+ years of professional or military experience
- 5+ years of SQL experience
- Experience programming to extract, transform and clean large (multi-TB) data sets
Preferred Qualifications
- Experience working directly with business stakeholders to translate between data and business needs
- Experience managing, analyzing and communicating results to senior leadership
- Master's degree in statistics, data science, or an equivalent quantitative field
- Experience using Cloud Storage and Computing technologies such as AWS Redshift, S3, Hadoop, etc.
- Experience with statistical analytics and programming languages such as R, Python, Ruby, etc.
- Experience visualizing data in Tableau or other relevant data visualization software
- Experience in machine learning, data mining, information retrieval, statistics or natural language processing, or experience in computer architecture
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.
USA, TX, Austin - 130,400.00 - 176,300.00 USD annually USA, TX, Dallas - 130,400.00 - 176,300.00 USD annually USA, WA, Seattle - 130,400.00 - 176,300.00 USD annually