Business Intelligence Engineer II, Alexa Devices Business Insights

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

Job summary

Amazon is seeking a Business Intelligence Engineer to join a high-visibility analytics team focused on devices forecasting. You will build reporting objects, develop ETL pipelines, and support dashboards across Tableau and AWS QuickSight, partnering with product owners to answer key questions.

The role requires strong data analysis, data modeling, and the ability to work with structured and unstructured data in a fast-paced, Day 1 environment. Bellevue/Seattle location preferred.

Qualifications

• 4+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience.
• Experience with data visualization using Tableau, Quicksight, or similar tools.
• Experience with data modeling, warehousing and building ETL pipelines.
• Experience in Statistical Analysis packages such as R, SAS and Matlab.
• Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling.

Responsibilities

• Interface with product managers, data engineers and software developers, gather requirements and deliver complete analytics/reporting solutions.
• Own the design, development, and maintenance of datasets, metrics, reports, analyses, etc. to drive key business decisions.
• Build and maintain Tableau or Quicksight Dashboards. Create data cubes and automated pipelines to power these dashboards.
• Help product teams with analytical deep dives to help support MBRs.

Skills

SQL

Python

Statistical analysis

Data visualization

ETL pipelines

Data modeling

Data warehousing

Tools

Tableau

Quicksight

R

SAS

MATLAB

Job description

Description

The Business Intelligence Engineer will be part of a high-visibility, growth in a dynamic, entrepreneurial analytics team. We are seeking an exceptionally talented and deeply focused BI Engineer with analytical skills who will build some of the largest reporting objects in Devices Forecasting space, contribute to business outcomes by analytics while also providing engineering services to our managed and centralized Tableau and AWS QuickSight dashboards. This is a unique early-stage opportunity to build the largest Amazon Devices BI environments of present day. The role holder will build their know-how rapidly and thrive in Amazon's fast-paced, Day 1 culture.

Key job responsibilities

You know and love solving problems using data, working with business intelligence tools, can build ETL pipelines, support statistical models using multidimensional data sets and can partner with business owners to answer key questions. You are analytical, innovative, creative, disruptive, and you don’t give up. As part of Alexa devices BI team you will work with both structured and unstructured datasets while using a combination of AWS and internal amazon tools.

1. Interface with product managers, data engineers and software developers, gather requirements and deliver complete analytics/reporting solutions.

2. Own the design, development, and maintenance of datasets, metrics, reports, analyses, etc. to drive key business decisions.

3. Build and maintain Tableau or Quicksight Dashboards. Create data cubes and automated pipelines to power these dashboards.

4. Help product teams with analytical deep dives to help support MBRs.

About the team

The primary purpose of the Alexa devices business insights team is to drive understanding of Alexa customers’ behaviors and to connect the dots from multiple data sources to unlock opportunities that drive both forward-looking product and feature roadmap, drive new customer acquisition, and increase customer engagement. By focusing on the three core principles of 1) harnessing data, 2) applying analytics, and 3) interpreting insights, this team will provide the devices org with deep product actionable discernment that will scale to achieve sustained competitive advantage.

Basic Qualifications

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

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

• Experience with data modeling, warehousing and building ETL pipelines

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

• 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

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, Bellevue - 99,500.00 - 160,000.00 USD annually

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