Business Intelligence Engineer, Survey Science, People eXperience Technology Central Science (PXTCS)
Apply NowCompany: Amazon
Location: Seattle, WA 98115
Description:
Are you excited by the challenge of harnessing employee voices across the globe? The Survey Science team in PXT Central Science are seeking a 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 scaling data access, developing reproducible analysis and scalable reporting, 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
Assist in operationalizing econometric and statistical models
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 Central Science Team within Amazon's People Experience and Technology org (PXTCS) uses economics, behavioral science, statistics, machine learning, and user research to proactively identify mechanisms and process improvements which simultaneously improve Amazon and the lives, well-being, and the value of work to Amazonians. We are an interdisciplinary team, which combines the talents of science, research, design and engineering to develop and deliver solutions that measurably achieve this goal.
BASIC QUALIFICATIONS
- 3+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience
- Experience with data visualization using Tableau, Quicksight, or similar tools
- Experience with data modeling, warehousing and building ETL pipelines
- Experience developing and presenting recommendations of new metrics allowing better understanding of the performance of the business
- 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
PREFERRED QUALIFICATIONS
- 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
- Experience working as a BIE in a technology company
- Working with large-scale survey data
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 $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.
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 scaling data access, developing reproducible analysis and scalable reporting, 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
Assist in operationalizing econometric and statistical models
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 Central Science Team within Amazon's People Experience and Technology org (PXTCS) uses economics, behavioral science, statistics, machine learning, and user research to proactively identify mechanisms and process improvements which simultaneously improve Amazon and the lives, well-being, and the value of work to Amazonians. We are an interdisciplinary team, which combines the talents of science, research, design and engineering to develop and deliver solutions that measurably achieve this goal.
BASIC QUALIFICATIONS
- 3+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience
- Experience with data visualization using Tableau, Quicksight, or similar tools
- Experience with data modeling, warehousing and building ETL pipelines
- Experience developing and presenting recommendations of new metrics allowing better understanding of the performance of the business
- 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
PREFERRED QUALIFICATIONS
- 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
- Experience working as a BIE in a technology company
- Working with large-scale survey data
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 $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.