The successful candidate will be an expert with strong business insight skills and skills in SQL, ETL, excel and big data techniques. The candidate will also have good communication skills. The candidate will know and love working with data, is customer obsessed, strives to achieve the highest bar with revenue data, and can partner with customers to answer key business questions. The candidate is also comfortable working with ambiguity and driving projects from end to end to meet customer requests by working crossfunctionally.
Key job responsibilities
- Conduct detailed UAT to support project launches to enhance revenue datasets
- Answer critical customer questions on revenue data by diving into detailed data and leveraging SQL, big data skills and business insight
- Raise issues in data and drive issues to resolution independently, after collaborating with tech team, team members and customers.
- Troubleshoot operational data-quality issues, while driving data democratization throughout the organization, enabling others to self-serve their data needs
- Write queries and output efficiently, and have in-depth knowledge of the data available in area of expertise
- Recommend improvements to back-end data sources and implement data quality checks for increased accuracy and simplicity
- Work on monthly sales revenue publish related processes and continually look to automate such processes
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
- Bachelor's degree in Business, Accounting, Finance or equivalent
- 3+ yrs work experience in Big Data Skills (SQL and Excel)
- Prior experience providing business insights both verbally and written to stakeholders
PREFERRED QUALIFICATIONS
- Problem Solving skills
- Customer obsession
- Ability to automate manual processes
- Ability to think big
Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. For individuals with disabilities who would like to request an accommodation, please visit https://www.amazon.jobs/en/disability/us.