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Business Intelligence Engineer, WW Prime - Core Services

Amazon

Seattle (WA)

On-site

USD 89,000 - 185,000

Full time

5 days ago
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Job summary

Join Amazon as a Business Intelligence Engineer, where you'll build scalable data solutions and drive impactful business decisions for Prime. You will collaborate with cross-functional teams to analyze data and develop insights that improve customer satisfaction across a global membership program. This role requires a strong technical background, including experience with SQL and data visualization tools, and a Master's degree in a quantitative field.

Qualifications

  • 3+ years of experience in data analysis and interpretation.
  • Experience building ETL pipelines.
  • Ability to evaluate business requirements and propose data solutions.

Responsibilities

  • Collaborate with Prime business leads and data teams to build scalable solutions.
  • Provide analytical support for flagship initiatives.
  • Develop recommendations based on data insights.

Skills

Data modeling
Data visualization
Statistical Analysis
SQL
Scripting (Python)
Data warehousing
Data mining

Education

Master's degree in BI, finance, statistics, computer science or equivalent

Tools

Tableau
Quicksight
AWS (EC2, DynamoDB, S3, Redshift)

Job description

Business Intelligence Engineer, WW Prime - Core Services

Are you ready to change Prime? Join our team of data professionals!

Are you somebody that likes to use big data to drive business decisions? Do you enjoy building data applications used worldwide by business leaders? Do you want to be part of the data team which measures the pulse of Prime and drives change? If your answer is yes, join our team. We are the analytical arm of Prime globally. We work with country leaders, product managers, marketing and finance to ensure Prime remains one of the most loved membership programs.

What is Prime? It’s a membership program including over 150 million members in more than 18 countries. Prime offers some of the best shopping and entertainment experiences with Amazon. Prime members enjoy Prime FREE One-Day Shipping and Prime FREE Same-Day Delivery in more than 8,000 cities and towns, two-hour delivery with Prime Now in more than 30 major cities and unlimited Free Two-Day Shipping on more than 100 million items. In addition, in the U.S., members enjoy unlimited access to award-winning movies and TV entertainment with Prime Video; unlimited access to Prime Music, Prime Reading, Amazon Photos, Twitch Prime; early access to select Lightning Deals, Whole Foods Market discounts and more.

As part of the global Prime Analytics team, we build scalable data solutions to enable insight generation in addition to providing analytical support for flagship initiatives within Amazon. Example data solutions include 1) campaign analyzer, a tool which allows business leaders to A/B test product launches and marketing campaigns and 2) variance analyzer, a tool which enables country leaders to examine the movement of any business KPI along multiple dimensions and determine rate/mix effects. Recent analytical projects include impact measurement of 1 day shipping introduction, analysis of nation-wide brand campaigns and investigation of usage patterns to recommend products and campaigns to increase customer satisfaction.

As a Business Intelligence Engineer in this team, you will collaborate closely with Prime business leads, data engineers and data scientist to build scalable data solutions and analytical insight. You will be comfortable evaluating business requirements and proposing data solution to solve business needs. As a successful candidate, you will be able to interact with both technical stakeholders, setting tech requirements for engineering team, as well as business stakeholder to collaborate on business requirements and project outcomes.- 3+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience
- Experience with data modeling, warehousing and building ETL pipelines
- Experience with data visualization using Tableau, Quicksight, or similar tools
- Experience writing complex SQL queries
- 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
- Experience developing and presenting recommendations of new metrics allowing better understanding of the performance of the business
- Knowledge of SQL and data warehousing concepts- 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
- Master's degree in BI, finance, engineering, statistics, computer science, mathematics, finance or equivalent quantitative field

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.

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. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits . This position will remain posted until filled. Applicants should apply via our internal or external career site.

About the company

Amazon.com, Inc. is an American multinational technology company based in Seattle, Washington, which focuses on e-commerce, cloud computing, digital streaming, and artificial intelligence. It is one of the Big Five companies in the U.S. information technology industry, along with Google, Apple, Microsoft, and Facebook. The company has been referred to as "one of the most influential economic and cultural forces in the world", as well as the world's most valuable brand.

Notice

Talentify is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or protected veteran status.

Talentify provides reasonable accommodations to qualified applicants with disabilities, including disabled veterans. Request assistance at accessibility@talentify.io or 407-000-0000.

Federal law requires every new hire to complete Form I-9 and present proof of identity and U.S. work eligibility.

An Automated Employment Decision Tool (AEDT) will score your job-related skills and responses. Bias-audit & data-use details: www.talentify.io/bias-audit-report . NYC applicants may request an alternative process or accommodation at aedt@talentify.io or 407-000-0000.

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