Business Intelligence Engineer, AWS Kumo

- 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

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.

Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $74,100/year in our lowest geographic market up to $165,600/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.
Do you want to be part of an innovative and highly collaborative environment? Are you looking for a role with ownership and the ability to work across many teams in one of the fastest growing organizations? Our AWS Managed Services Team is looking for a highly qualified and highly motivated Business Intelligence Engineer.

The ideal candidate will have a track record of navigating successfully through ambiguity, gathering business requirements and creating BI and analytics solutions that have measurable customer impact, and demonstrating exemplary written and verbal communication skills. The candidate will have to set the right vision, strategy and roadmap and work alongside with stakeholders in the organization to make it happen. The candidate knows and loves working with business intelligence tools, can model multidimensional datasets, and can partner effectively with business leaders to answer key business questions. The candidate will need to be a self-starter, comfortable with ambiguity in a fast-paced and ever-changing environment, and be able to lead a team to innovate and think big, while diving deep to meet our bar for quality and accuracy.

Key job responsibilities
- Design, implement and operate large-scale, high-volume, high-performance data solutions.
- Gather ambiguous, often conflicting, business requirements and translate them into robust, flexible, scalable visualization/analytical solutions that drive business decisions, growth and success.
- Lead voice/example in the areas of data architecture/modeling, statistical analysis, coding best practices and technical documentation.
- Take lead role in understanding and defining which metrics drive business success towards goal.
- Design, develop and maintain scaled, automated, user-friendly systems, reports, dashboards, etc. that will support the needs of the business.
- Automate and optimize everything you touch: team processes, data pipelines, analytics solutions, self-service data models.
- Play integral role in constructing team's roadmap, setting expectations with (often competing) stakeholders and communicating team narrative to leaders.
- Maintain a high ethical bar for analytical independence; let the data speak for itself and not be influenced by the requestor.
- When disaster strikes, you take a lead role in understanding the problem, designing the solution and deploying the fix - quickly.
- Design, implement and operate large-scale, high-volume, high-performance data structures for analytics and data science.
- Create and propose technical design documentation, which includes current and future ETL functionality, database objects affected, specifications, and flows and diagrams to detail the proposed implementation
- Become a subject matter expert in database best practices and be able to produce ad-hoc analysis quickly

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 AWS
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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 flexible work hours and arrangements are part of our culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud.

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 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.

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