4 days ago

Business Intelligence Engineer, Advertising Finance

Amazon

On Site
Full Time
$130,000
Seattle, WA

Job Overview

Job TitleBusiness Intelligence Engineer, Advertising Finance
Job TypeFull Time
CategoryCommerce
Experience5 Years
DegreeMaster
Offered Salary$130,000
LocationSeattle, WA

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Job Description

About Amazon Advertising

Amazon Advertising is the earth’s most customer-centric advertising program, dedicated to driving measurable outcomes for brand advertisers, agencies, authors, and entrepreneurs. Our ad solutions leverage Amazon’s innovations and insights to find, attract, and engage intended audiences throughout their daily journeys.

All Amazon teams and businesses, from Prime delivery to AWS, are guided by four key tenets: customer obsession rather than competitor focus, passion for invention, commitment to operational excellence, and long-term thinking. What unites Amazonians across teams and geographies is that we are all striving to delight our customers and make their lives easier. The scope and scale of our mission drives us to seek diverse perspectives, be resourceful, and navigate through ambiguity.

By working together on behalf of our customers, we are building the future one innovative product, service, and idea at a time. Are you ready to embrace the challenge? Come build the future with us.

Amazon Advertising is looking for a Business Intelligence Engineer, Advertising Finance who can work in a fast-paced, data-driven environment. The selected candidate will have a passion for making data-driven decisions.

Successful attributes include the ability to be an effective communicator to various audiences, the capacity to remain flexible and adept at learning new tools, and the facility to implement new systems within a team atmosphere. Our environment is deadline-driven and fast-paced and therefore requires detail-oriented individuals comfortable interacting or working with multiple teams (business and technical).

As you further your career as a Business Intelligence Engineer, Advertising Finance in Amazon Advertising, you will focus on improving corporate reporting frameworks and data visualization. You will analyze performance data, discover and solve real-world problems and build metrics and business cases to improve decision making. We are focused on your success and want to build strong leaders within Amazon Advertising. You can expect to leverage your analytical skills and have full ownership of the projects you work on.

Key Responsibilities May Include

  • Day-to-day operations reporting.
  • Work with teams from across Amazon to improve data quality within their respective products and platforms.
  • Identify root causes of data issues and develop solutions.
  • Work with software developers/data engineers to improve data quality on our state-of-the-art platforms.
  • Report results in a manner which is both statistically rigorous and compellingly relevant.
  • Model data and metadata to support ad-hoc and pre-built reporting.
  • Own the design, development, and maintenance of ongoing metrics, reports, analyses, dashboards, etc. to drive key business decisions.
  • Drive operational excellence for data ingestion, transformation and publication to ensure confidence in the systems we build.
  • Recognize and adopt best practices in reporting and analysis: data integrity, test design, analysis, validation, and documentation.
  • Triage many possible courses of action in a high-ambiguity environment, making use of both quantitative analysis and business judgment.

Basic Qualifications

  • 2+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL, etc. experience.
  • Experience with data visualization using Tableau, QuickSight, or similar tools.
  • Experience with one or more industry analytics visualization tools (e.g. Excel, Tableau, QuickSight, MicroStrategy, PowerBI) and statistical methods (e.g. t-test, Chi-squared).
  • Experience with scripting language (e.g., Python, Java, or R).

Preferred Qualifications

  • Master's degree, or Advanced technical degree.
  • Knowledge of data modeling and data pipeline design.
  • Experience with statistical analysis, co-relation analysis.

Key skills/competency

  • Data Analysis
  • Reporting
  • Data Visualization
  • SQL
  • Redshift
  • Tableau
  • QuickSight
  • Data Quality
  • Statistical Methods
  • Python/R/Java

Tags:

Business Intelligence Engineer
data analysis
reporting
data visualization
data quality
root cause analysis
metric definition
dashboard development
operational excellence
business judgment
financial analysis
Redshift
Oracle
NoSQL
Tableau
QuickSight
Excel
PowerBI
Python
Java
R
SQL
data modeling

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How to Get Hired at Amazon

  • Research Amazon's culture: Study their mission, values, recent news, and employee testimonials on LinkedIn and Glassdoor to understand the Amazonian way.
  • Customize your resume: Tailor your experience to highlight data analysis, SQL, visualization, and finance-related skills relevant for a Business Intelligence Engineer role at Amazon Advertising.
  • Prepare for technical interviews: Practice complex SQL queries, data modeling concepts, and business intelligence principles that apply to Amazon's vast data landscape.
  • Demonstrate Amazon's Leadership Principles: Weave examples of customer obsession, bias for action, and invent and simplify into your STAR method interview responses.
  • Network effectively: Connect with current Amazon Business Intelligence Engineers and finance professionals on LinkedIn for insights and potential referral opportunities.

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