Business Intelligence Engineer, Customer Service People Experience and Technology (CS PXT)

Amazon; Seattle (WA); On-site; USD 117,000 - 203,000; Full time

Job summary

Join a forward-thinking company as a Business Intelligence Engineer, where you'll leverage data to drive impactful business decisions for senior leadership. In this role, you will define and execute the analytics strategy, providing timely and actionable insights. Collaborate with senior leaders to create scalable metrics and optimize information flow processes. This position offers the opportunity to work autonomously while influencing the bigger picture. If you're passionate about data-driven insights and enjoy working in a dynamic environment, this role is perfect for you.

Qualifications

• 5+ years of SQL experience with large data sets.
• Experience in scripting for automation and advanced SQL skills.
• Knowledge of data warehousing and data modeling.

Responsibilities

• Build data sets, queries, and dashboards to answer business questions.
• Lead projects from start to finish including data gathering and modeling.
• Generate business review metrics for HR leaders.

Skills

SQL

Python

Data Analysis

Statistical Analysis

AWS Technologies

Data Warehousing

Data Modeling

Tools

Redshift

Oracle

NoSQL

Job description

Business Intelligence Engineer, Customer Service People Experience and Technology (CS PXT)

Job ID: 2966385 | Amazon.com Services LLC

The Worldwide Amazon Stores (WWAS) and G&A HR Partner (HRP) team is seeking an experienced Business Intelligence Engineer (BIE) passionate about leveraging data to drive critical business decisions for senior leadership. As a BIE, you will define and drive the organizational analytics strategy and deliver timely, accurate, and actionable insights, addressing novel questions for leaders. You will partner with senior leaders across Amazon to drive insights, align scalable metrics, and track measurable results. In this role, you will independently source, analyze, model, present, and automate business data. You will continuously seek to optimize information flow processes and manage multiple related projects simultaneously.

Key job responsibilities
- Build data sets, queries, reports, dashboards, analyses – or components of larger solutions to answer business questions with data.
- Create scalable, efficient, automated processes for data analyses, model development, model validation, and model implementation.
- Understand the business at its core and use that understanding to generate various business insights.
- Troubleshoot data, analyses, and code, research root causes, propose solutions, and take ownership over next steps for their resolutions.
- Generate business review metrics and documents to inform business and HR leaders on progress to people-related goals.
- Lead projects or components from start to finish including project management, data gathering and manipulation, synthesis and modeling, problem solving, and communication of insights and recommendations.
- Field and resolve various ad hoc analytical needs for the WWAS & G&A HRP leadership team.

A day in the life
Are you passionate about driving business & customer impact through thoughtful analysis and data-driven insights? Are you a deeply analytical individual who enjoys both operating autonomously and working with customers to transform how a business operates? Do you like the idea of seeing how your work impacts the bigger picture by influencing senior leadership teams? If so, come join the team as the BIE for WWAS G&A HRP!

About the team
The WWAS G&A HRP team provides high judgment guidance and consultation on core and common processes to managers around the world. The Business Operations and Program Management team partners closely with the HRP senior leadership team to sure the organization continues to provide the best manager experience while operating as efficiently as possible.

BASIC QUALIFICATIONS

- 5+ years of SQL experience
- Experience programming to extract, transform and clean large (multi-TB) data sets
- Experience in scripting for automation (e.g. Python) and advanced SQL skills.
- Experience with theory and practice of design of experiments and statistical analysis of results
- Experience with AWS technologies
- Knowledge of data warehousing and data modeling
- 3+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience

PREFERRED QUALIFICATIONS

- Experience working directly with business stakeholders to translate between data and business needs
- Experience managing, analyzing and communicating results to senior leadership

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 $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.

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.