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Amazon

Senior Business Intelligence Engineer, AWS Regions Finance

Arlington, VA, USA

137 Days ago

Job Overview


Posted Date: 05 May 2025

Job Type: Full Time

Workplace Type: Not Specified

Experience Level: Mid-Senior level

Salary: $117,300 - $127,300 / Annual Salary

Experience: 10 - 11 yrs

Job Description


Are you passionate about leveraging data to deliver actionable insights that impact long-term business decisions of AWS? Are you excited to solve business challenges through data analytics and business intelligence (BI) solutions? AWS Finance seeks a Senior Business Intelligence Engineer to join the AWS Regions Finance team.

In AWS Regions we develop strategies for infrastructure in new countries and we look 10+ years down the road, oversee current region build-outs and review performance of existing regions through their life-cycle. We work closely with senior leaders in cross-functional partner organizations developing and reviewing the strategic multi-billion infrastructure investments.

You will own the design, development, and maintenance of ongoing metrics, reports, analyses, dashboards, etc. within SQL, Redshift, QuickSight, etc. to support the performance management of existing and new regions.. You will be required to design and influence operational best practices for reporting and analytics to enable the team to scale as we expand. You will empower data-driven decision making through implementing principles of data mining, data modeling, and analytical skills to define and measure critical metrics.

You recognize and adopt best practices in reporting and analysis: data integrity, test design, analysis, validation, and documentation. You write high quality code to retrieve and analyze data as well as analyze and solve business problems at their root, stepping back to understand the broader context. Developing pragmatic analyses and choosing applicable solutions that add value to your business area, you understand data resources and know how, when, and which to use (and which not to use). You will need to have a high bar for ownership and work autonomously to create high-quality products for the customer. You will be required to communicate project roadmap, prioritization, and release notes of new products with customer and stakeholder groups up to senior leadership.

Key job responsibilities

Lead the design, implementation, and delivery of BI solutions for complex and ambiguous problems in AWS Regions

Conduct deep dive analyses of business problems and formulate conclusions and recommendations to be presented to senior leadership

Produce written recommendations and insights for key business stakeholders in International Regions Expansion and Finance that will help shape effective metric development and reporting

Simplify and automate reporting, audits and other data-driven activities; build solutions to have maximum scale and self-service ability by stakeholders

Partner with other BI and Data Engineering teams to enhance data infrastructure, data availability, and broad access to customer insights

To develop and drive best practices in reporting and analysis: data integrity, test design, analysis, validation, and documentation

Learn new technology and techniques to meaningfully support product and process innovation

Own the design, development, and maintenance of ongoing tools, metrics, reports, analyses, dashboards, etc. to drive key business decisions.

Basic Qualifications

5+ years of SQL experience

Experience programming to extract, transform and clean large (multi-TB) data sets

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

Experience in scripting for automation (e.g. Python) and advanced SQL skills.

Master's degree in statistics, data science, or an equivalent quantitative field

Preferred Qualifications

Experience working directly with business stakeholders to translate between data and business needs

Experience managing, analyzing and communicating results to senior leadership

Experience using Cloud Storage and Computing technologies such as AWS Redshift, S3, Hadoop, etc.

Knowledge of data warehousing and data modeling

Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, 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 $117,300/year in our lowest geographic market up to $202,800/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.


Key skill Required

  • SQL
  • Python
  • AWS
  • Automation
  • Business Intelligence
  • Data Analytics
  • Data Engineering
  • Analysis
  • Analytics
  • Cloud Storage
  • Computing
  • Data Availability
  • Data Infrastructure
  • Data Integrity
  • Data Mining
  • Data Modeling
  • Data Science
  • Data Visualization
  • Decision Making
  • Design
  • Development
  • Documentation
  • Finance
  • Implementation
  • Inclusive
  • Influence
  • Infrastructure
  • Innovation
  • Intelligence
  • Leadership
  • Maintenance
  • Management
  • Mining
  • New Technology
  • Onboarding
  • Orientation
  • Ownership
  • Passionate
  • Performance Management
  • Prioritization
  • Project Roadmap
  • Release Notes
  • Reporting
  • Roadmap
  • Science
  • Statistics
  • Test Design
  • Validation
  • Visualization
  • International


Company Details


Company about us:

Amazon.com, Inc. is a global technology and e-commerce company that has revolutionized the way people shop and consume products and services. Founded in 1994, Amazon has grown to become one of the largest and most influential companies in the world, with a market capitalization of over $1 trillion.

At Amazon, we...

Company Name: Amazon

Recruiting People: HR Department

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