Business Intelligence Engineer II, Alexa Devices Business Insights

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

Benefits offered by this job

Health insurance

RSUs / stock options

Job summary

Amazon seeks a Business Intelligence Engineer to join the Alexa devices insights team in Washington. You will build large-scale reporting objects, develop ETL pipelines, and power dashboards using Tableau or QuickSight to influence product decisions.

You will collaborate with product managers, data engineers, and software developers to deliver end-to-end analytics, datasets, metrics, and analyses that drive business outcomes in a fast-paced, Day 1 culture.

Qualifications

• 4+ years analyzing data with Redshift, Oracle, NoSQL, etc.
• Experience with data visualization using Tableau or QuickSight
• Experience with data modeling, warehousing and ETL pipelines
• Statistical analysis using R, SAS, or Matlab
• SQL data extraction and Python scripting for modeling

Responsibilities

• Build ETL pipelines, data cubes and automated data flows.
• Develop Tableau or QuickSight dashboards and reports.
• Partner with product managers to answer key business questions.
• Own design, development and maintenance of datasets and metrics.
• Support analytical deep dives for business reviews.

Skills

Data analysis

SQL

Tableau / QuickSight

Data modeling

ETL pipelines

Tools

Redshift

Oracle

NoSQL databases

Python

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 and using a combination of AWS and internal amazon tools.

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.

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

Company

- Amazon.com Services LLC