BIE, Applied AI Solutions

Amazon; Seattle (WA); On-site; USD 100,000 - 160,000; Full time

Job summary

Amazon.com Services LLC in Seattle is seeking a BI Engineer to work with AWS data warehousing and analytics, handling large datasets and collaborating with product and business leaders to evolve the analytical portfolio for product strategy decisions.

The role emphasizes building reporting solutions, data modeling, ETL pipelines, and visualization using Tableau/QuickSight, with a strong focus on enabling self-serve insights for stakeholders across the business.

Qualifications

• 3+ years analyzing data with Redshift, Oracle, NoSQL.
• 1+ years SQL, ETL or Oracle experience.
• 1+ years processing large, multi-source datasets.
• 1+ years performing statistical analysis.
• 1+ years developing automated reporting.
• Experience with data visualization using Tableau or QuickSight.
• Data modeling, warehousing and ETL pipelines.
• SQL to pull data and Python scripting for modeling.

Responsibilities

• Work with business customers to understand requirements and implement analytical reporting.
• Design and implement reporting solutions enabling stakeholders to manage the business.
• Conduct ad hoc data analysis and data quality investigations.
• Create training and documentation for self-serve reporting tools.
• Develop and support analytical technologies for timely data access.
• Build and maintain an analytical environment with third-party and in-house tools.

Skills

3+ years data analysis

SQL

ETL

Statistical analysis

Automated reporting

Tableau

Python scripting

Data modeling

Tools

Tableau

QuickSight

Python

SQL

Job description

Description

The newest business group in AWS, AWS Solutions are built by AWS and AWS Partners to address specific industry, cross-industry, and technology use cases.

Description

The newest business group in AWS, AWS Solutions are built by AWS and AWS Partners to address specific industry, cross-industry, and technology use cases.
Our customers are evolving from builders to both builders and buyers.
As the AWS customer base expands, we increasingly need to serve customers who prefer to \"buy\" Solutions in addition to those who prefer to \"build.\" Given the depth and breadth of offerings (200+ AWS services and features, and thousands of APN offerings), and various ways they can be put together, increasingly customers need prescriptive guidance and automation to reduce the number of decisions they need to make and minimize last-mile development to adopt AWS.
As a BI engineer on this team, 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 product and business leaders and executives to continuously evolve the analytical portfolio and help the businesses make product strategy decisions.

Key job responsibilities

• Work with business customers in understanding the business requirements and implementing solutions to support analytical and reporting needs.


• Design and implement reporting solutions enabling stakeholders to manage the business and make effective decisions.


• Conduct ad hoc data analysis and data quality investigations.


• Implement training and documentation solutions that enable business stakeholders to get the most out of our self-serve reporting tools.


• Develop and support the analytical technologies that give our customers timely, flexible and structured access to their data.


• Design and implement an analytical environment using third-party and in-house reporting tools, modeling metadata, building reports and dashboards.

Basic Qualifications

• 3+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience


• 1+ years of SQL, ETL or Oracle experience


• 1+ years of processing large, multi-dimensional datasets from multiple sources experience


• 1+ years of performing statistical analysis experience


• 1+ years of developing automated reporting experience


• Experience with data visualization using Tableau, Quicksight, or similar tools


• Experience with data modeling, warehousing and building ETL pipelines


• Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling

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


• Experience in Statistical Analysis packages such as R, SAS and Matlab

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.

USA, WA, Seattle - 99,500.00 - 160,000.00 USD annually

Company

Amazon.com Services LLC

Job ID: A10455412