BI Engineer, APG, AWS Prescriptive Guidance

DESCRIPTION

Are you passionate about working with data, driven to dive deep, and eager to make broad business impact? Do you thrive in a fast-paced, sometimes ambiguous environment and enjoy transforming data into actionable recommendations? Are you obsessed about customers and data, and are you looking for an opportunity to combine the two?

Key job responsibilities

As a Business Intelligence Engineer for AWS Prescriptive Guidance you will:

• Work both independently and collaboratively with other members of the AWS Prescriptive Guidance team including the Senior Business Intelligence Engineer and Product Manager to deliver scalable BI solutions that drive AWS Prescriptive Guidance adoption.
• Serve as a subject matter expert of AWS Prescriptive Guidance data, processes, and the business rules that define our datasets.
• Design, create, and maintain dashboards using SQL and QuickSight.
• Create reports and analyses based on requirements from an internal team of stakeholders as well as the larger AWS community.
• Adopt best practices in BI and reporting in collaboration with Sr. Business Intelligence Engineer.

About The Team

The AWS Prescriptive Guidance team facilitates the creation and publishing of best practices and lessons learned from AWS Professional Services engagements as they help our customers achieve their cloud based business objectives. The AWS Prescriptive Guidance team, located within AWS ProServe, is looking for a Business Intelligence Engineer with a combination of superior analytical abilities and strong business acumen to support the AWS Prescriptive Guidance team. Last but not least, you love building insightful reports and beautiful data visualizations, and want to automate everything you have built.

Inclusive Team Culture

Here at AWS, we embrace our differences. We are committed to furthering our culture of inclusion. We have ten employee-led affinity groups, reaching 40,000 employees in over 190 chapters globally. We have innovative benefit offerings, and host annual and ongoing learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences. Amazon���������s culture of inclusion is reinforced within our 16 Leadership Principles, which remind team members to seek diverse perspectives, learn and be curious, and earn trust.

Work/Life Balance

Our team puts a high value on work-life balance. It isn���������t about how many hours you spend at home or at work; it���������s about the flow you establish that brings energy to both parts of your life. We believe striking the right balance between your personal and professional life is critical to life-long happiness and fulfillment. We offer flexibility in working hours and encourage you to find your own balance between your work and personal lives.

Mentorship & Career Growth is dedicated to supporting new members. We have a broad mix of experience levels and tenures, and we���������re building an environment that celebrates knowledge sharing and mentorship. We care about your career growth and strive to assign projects based on what will help each team member develop into a better-rounded professional and enable them to take on more complex tasks in the future.

Basic Qualifications

• Bachelor’s degree in Business Administration, Finance, Computer Information Systems, Engineering, Operations Research, Mathematics or 6+ years of professional or military experience.
• 3+ years experience with SQL with knowledge of CTEs, windowing, and creating data pipelines for visualizations.
• 2+ years experience with a BI tool such as Tableau, PowerBI, Cognos, or QuickSight.
• 2+ years of experience and in data visualization and reporting.

Preferred Qualifications

• Experience a Engineering such as building data pipelines and ETL.
• Experience in using data oriented programming languages such as R or Python.
• Knowledge of product analytics.
• Experience in solving complex, quantitative business challenges.
• Experience in statistical analysis and/or building predictive models using regression, forecasting, and other statistical models.
• Ability to work independently to understand, document and deliver BI projects in a timely manner.

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.

Company – Amazon Web Services, Inc.

Job ID: A1828342