Sr. Bus. Intelligence Engineer, AWS Training & Certification Growth Strategy & Analytics Team

Key Skills

Apache Hadoop, C Programming, C++, Data science techniques, Java Programming, Machine learning techniques, MapReduce, Python Programming, PyTorch, R Programming, Scala Programming, SQL, TensorFlow

Job Description

The AWS Training and Certification organization educates customers, partners, and AWS Employees globally on AWS products, solutions, and best practices. We are seeking a talented and experienced Business Intelligence Engineer to help us develop reporting solutions and processes to support the analysis and reporting of metrics for the AWS Training and Certification organization.

As part of the AWS Training and Certification (T&C) Business Intelligence and Data Analytics team you will develop data and reporting solutions to provide insights into the KPIs and metrics that drive the organization. We are looking for someone who will help create automated reporting processes, develop data structures for reports, build insightful dashboards, and deliver data insights to our teams across the globe. The right candidate will be passionate about working with large datasets and should be someone who loves to bring data together to answer complex business questions that deepen our understanding of our business drivers. As a Sr. Business Intelligence Engineer within AWS, you will have the exciting opportunity to help shape and deliver our strategy to build a scalable reporting infrastructure that will broaden AWS’s penetration in the cloud computing market.

We are looking for candidates who have a strong background in data warehousing (SQL, ETL techniques, data modeling, Redshift, etc.) and business intelligence tools (e.g. Tableau). A successful candidate should have the technical proficiency to query data in a Redshift data warehouse environment, structure data to be leveraged within business intelligence tools, automate data flows, and be able to develop insightful reports that are delivered to business stakeholders.

This role can be performed near any US AWS office in the following cities: Arlington, Atlanta, Austin, Ballston, Boston, Chicago, Cupertino, Dallas, Denver, Detroit, East Palo Alto, Herndon, Houston, Irvine, Minneapolis, New York City, Pittsburgh, Portland, San Diego, San Francisco, Seattle, Washington D.C., Tempe, Sunnyvale, or Santa Monica.

Key job responsibilities

• Serve as a key member of the AWS Training & Certification Growth Strategy & Analytics Team by supporting all reporting requests from global operations, helping procure new data streams (from both internal and external sources), and ultimately turn data into actionable insights by building meaningful reports.
• Conduct analysis, perform analysis, and prototype new metrics that will be shared with the Operations Team and executive stakeholders
• Leverage internal tools including Tableau and AWS Redshift to deliver data-driven recommendations, tools, dashboards, reports, and findings to internal stakeholders.
• Manage numerous requests concurrently and strategically, prioritizing when necessary.
• Support cross-functional teams on the day-to-day execution of projects and initiatives.
• Drive large projects that help build AWS into the most customer-centric platform.

A day in the life

About Us

As cloud technologies continue to transform businesses, skilled individuals are in high demand. At AWS Training and Certification (T&C), we are passionate about revolutionizing the way people advance their cloud skills and careers. We equip diverse builders of today and tomorrow with the knowledge they need to leverage the power of the AWS Cloud. Join our dynamic, fast-growing team and help us empower our customers to build cloud skills.

Inclusive Team Culture

Here at AWS, we embrace our differences. We are committed to furthering our culture of inclusion. We have twelve 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

Our team 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 employee and enable them to take on more complex tasks in the future.

BASIC QUALIFICATIONS

• 5+ years of relevant work experience as a business intelligence engineer or data engineer role
• 5+ years of experience in SQL programming
• 5+ years of experience in building data warehouses and dimensional modeling
• 5+ years of experience with business intelligence and data visualization tools
• Experience with ETL processes using Python, SQL, or data transformation software

PREFERRED QUALIFICATIONS

• Bachelor’s or Master’s degree in Business, Technology, or a similar discipline
• Ability to distill problem definitions, models, and constraints from informal business requirement
• Experience with Tableau Desktop and Tableau Server
• Experience with AWS solutions such as Redshift, S3, Glue, SageMaker, and Lambda
• Experience with on-boarding and developing data structures
• Strong verbal, written, and presentation skills

The pay range for this position in Colorado is $130,305 - 153,300/yr; however, base pay offered may vary depending on job-related knowledge, skills, and experience. A sign-on bonus and restricted stock units may be provided as part of the compensation package, in addition to a full range of medical, financial, and/or other benefits, dependent on the position offered. This information is provided per the Colorado Equal Pay Act. Base pay information is based on market location. Applicants should apply via Amazon's internal or external careers site.

Pursuant to the San Francisco and Los Angeles Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

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