Business Intelligence Engineer II, AWS Product BI

Amazon

Seattle (WA)

On-site

USD 89,600 - 185,000

Full time

14 days+
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Job summary

Join a forward-thinking company as a Business Intelligence Engineer, where you'll leverage your expertise in data warehousing and analytics to drive strategic decisions. In this role, you will work with large datasets in a complex environment, collaborating closely with business and technical teams to deliver actionable insights. Your contributions will directly impact product teams, making this an exciting opportunity for those passionate about data and innovation. With a focus on work-life balance and a commitment to diversity, this position offers a dynamic and inclusive workplace where you can thrive and grow your career.

Qualifications

  • 5+ years of experience with data warehouse architectures and reporting tools.
  • Strong knowledge of SQL and data modeling concepts.

Responsibilities

  • Understand business requirements and implement analytical solutions.
  • Design reporting solutions and conduct data analysis.

Skills

Data Warehouse Architecture
SQL
PL/SQL
ETL/ELT
Data Analysis
Business Intelligence

Education

Bachelor's Degree in Computer Science

Tools

AWS (EC2, DynamoDB, S3, Redshift)
Reporting Tools

Job description

Business Intelligence Engineer II, AWS Product BI

Job ID: 2891859 | Amazon Development Center U.S., Inc.

Utility Computing (UC)
AWS Utility Computing (UC) provides product innovations — from foundational services such as Amazon’s Simple Storage Service (S3) and Amazon Elastic Compute Cloud (EC2), to consistently released new product innovations that continue to set AWS’s services and features apart in the industry. As a member of the UC organization, you’ll support the development and management of Compute, Database, Storage, Internet of Things (IoT), Platform, and Productivity Apps services in AWS, including support for customers who require specialized security solutions for their cloud services.

About 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.

Diverse Experiences
AWS values diverse experiences. Even if you do not meet all of the qualifications and skills listed in the job description, we encourage candidates to apply.

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.

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 empowers us to be proud of our differences.

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.

Amazon is looking for a highly respected Business Intelligence Engineer to join the AWS Product BI team. This is your opportunity to be a core part of the team that has direct impact on the day-to-day decision making in the many AWS Product teams like EC2, S3 and IoT.

As a BI engineer on this team, you will be responsible for generating new insights to help guide the strategic direction of our products and businesses. You will get the exciting opportunity to work on very large data sets in one of the world's largest and most complex data warehouse environments. You will work closely with the business and technical teams in analysis on many non-standard and unique business problems and use creative problem-solving to deliver actionable output.

Key job responsibilities
  1. Work with business customers in understanding the business requirements and implementing solutions to support analytical and reporting needs.
  2. Design and implement reporting solutions enabling stakeholders to manage the business and make effective decisions.
  3. Conduct ad hoc data analysis and data quality investigations.
  4. Implement training and documentation solutions that enable business stakeholders to get the most out of our self-serve reporting tools.
  5. Develop and support the analytical technologies that give our customers timely, flexible and structured access to their data.
  6. Design and implement an analytical environment using third-party and in-house reporting tools, modeling metadata, building reports and dashboards.
BASIC QUALIFICATIONS
  • Bachelor's Degree in Computer Science or a related technical field, and solid years of relevant experience.
  • 5+ years of experience with and detailed knowledge of data warehouse technical architectures, infrastructure components, ETL/ELT and reporting/analytic tools and environments, data structures.
  • 5+ years of experience with relational and star schema data modeling concepts with a solid knowledge of SQL and PL/SQL.
  • 2+ years of large IT project delivery for BI oriented projects.
  • 2+ years of working with very large data warehousing environment.
PREFERRED QUALIFICATIONS
  • Experience with AWS solutions such as EC2, DynamoDB, S3, and Redshift.
  • Experience in data mining, ETL, etc. and using databases in a business environment with large-scale, complex datasets.

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.

Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $89,600/year in our lowest geographic market up to $185,000/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.

This position will remain posted until filled. Applicants should apply via our internal or external career site.

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