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Description

Are you excited by the challenge of harnessing employee voices across the globe? The eXperience Measurement Science team in ALX are seeking a Sr. Business Intelligence Engineer with a passion for understanding complex spaces and an eye for detail to own Business Intelligence solutions focused on employee listening.

You will work cross functionally between multiple software teams, science teams, and business stakeholders to build business intelligence solutions surfacing employee insights using multiple data sources. You will be a key player in modelling listening data for analytics, science, and product use cases, defining new metrics, and influencing our products and programs to ensure we're delivering success in the employee listening space. You will be directly responsible for monitoring and improving our ability to implement listening strategies, lowering the barrier for entry for effective use of listening data, developing reproducible analysis, identifying process improvement opportunities, and developing self-service tools to allow stakeholders and customers to make informed decisions quickly.

The ideal candidate for this role will have an Operational Excellence mindset, high technical acumen, and a track record for using automation to drive change. You will thrive on ambiguity, problem solving, and have a demonstrated ability to spot and pursue signals in noisy data.

Key job responsibilities

Partner with science teams to implement listening strategies leading to high data quality

Build data models to improve science enablement, product features, and data sharing capabilities

Identify and deliver opportunities to effectively integrate listening data in external team and business mechanisms

Perform model refreshes or updates to analyses as needed

Work collaboratively with others spanning multiple technical disciplines to assist in the design and implementation of analysis to answer challenging business questions

Interpret and communicate results to external customers

Drive operational excellence for data ingestion, transformation, and publication to ensure confidence in the systems we build

Aggregate and analyze data pulled from disparate sources (HR, Finance or other business systems) and related industry and external benchmarks; provide insights and a point of view on analysis and recommendations

Tune query performance using profiling tools and SQL

Assist in the design and delivery of automated, scalable analysis and reports to stakeholders

Continually improve ongoing reporting and analysis processes, automating or simplifying self-service support for secondary datasets

Report results in a manner which is both statistically rigorous and compellingly relevant

About the team

The Amazon Leadership Experiences (ALX) team helps Amazonians build rewarding careers. We build smart products that help people make better decisions when managing large groups of employees.

Basic Qualifications

- 7+ years of professional or military experience

- 5+ years of SQL experience

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

- Experience with theory and practice of design of experiments and statistical analysis of results

- Experience with AWS technologies

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

- Experience with theory and practice of information retrieval, data science, machine learning and data mining

- Experience building measures and metrics, and developing reporting solutions

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 working as a BIE in a technology company

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.