Are you excited about the cloud computing industry and leveraging cutting edge data analytics technologies and methodologies? Are you interested in driving business decisions through data analysis, reporting, and KPIs? Do you want to work with a team of Generative AI Go to Market Specialists to deliver visualizations and insights across AWS’s most complex business problems through data?
We’re looking for someone who possesses a solid Sales Operations Analyst background, familiar with working across datasets needed for analyzing information, delivering visualizations, identifying key business insights, and working with stakeholders in generating the right metrics to define and measure success. You should be passionate about developing insights, setting high standards, and providing information that enables dynamic decision-making using cutting edge technology. You should have excellent business acumen and communication skills, and be able to work with AWS business leaders to develop and define key business questions, then work backwards to deliver meaningful insights that answer those questions. Your deep analytic skills, strong business judgement, and focus on our core operational inputs will make you a critical partner to sales and sales operations leaders as you help them prioritize initiatives, identify gaps in process and performance, and remove barriers to execution. You should be excited about working with data, be driven to dive deep, and passionate about collaborating with Sales Leadership, Finance, Data Engineer, Business Analysts and Sales Operations teams.
Key job responsibilities
- Act as a consultative partner to the Generative AI Go to Market Specialists team providing relevant data-driven insights to support strategic imperatives
- Identify and address data challenges within the organization, predicting future issues that may arise and building proactive solutions
- Consistent data validation audits, data maintenance, and address data gaps as they arise
- Work directly with the models/data. Work with large data sets and the technical tools needed to work with them
- Write high quality SQL queries to retrieve and analyze data from database tables (ex. Redshift, MySQL). Build data models leveraging Python
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.
We’re looking for someone who possesses a solid Sales Operations Analyst background, familiar with working across datasets needed for analyzing information, delivering visualizations, identifying key business insights, and working with stakeholders in generating the right metrics to define and measure success. You should be passionate about developing insights, setting high standards, and providing information that enables dynamic decision-making using cutting edge technology. You should have excellent business acumen and communication skills, and be able to work with AWS business leaders to develop and define key business questions, then work backwards to deliver meaningful insights that answer those questions. Your deep analytic skills, strong business judgement, and focus on our core operational inputs will make you a critical partner to sales and sales operations leaders as you help them prioritize initiatives, identify gaps in process and performance, and remove barriers to execution. You should be excited about working with data, be driven to dive deep, and passionate about collaborating with Sales Leadership, Finance, Data Engineer, Business Analysts and Sales Operations teams.
Key job responsibilities
- Act as a consultative partner to the Generative AI Go to Market Specialists team providing relevant data-driven insights to support strategic imperatives
- Identify and address data challenges within the organization, predicting future issues that may arise and building proactive solutions
- Consistent data validation audits, data maintenance, and address data gaps as they arise
- Work directly with the models/data. Work with large data sets and the technical tools needed to work with them
- Write high quality SQL queries to retrieve and analyze data from database tables (ex. Redshift, MySQL). Build data models leveraging Python
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.
Related Jobs
Meta
AI Research Scientist, Language - Generative AI
Bellevue, WA, Menlo Park, CA, Seattle, WA, New York, NY
Meta
Software Engineer, Language - Generative AI
Menlo Park, CA, Seattle, WA, New York, NY, San Francisco, CA