Description
- 10+ years of professional or military experience
- 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 information retrieval, data science, machine learning and data mining
- Experience with data visualization using Tableau, Quicksight, or similar tools
- Master's degree in statistics, data science, or an equivalent quantitative field
- Experience working directly with business stakeholders to translate between data and business needs
- Experience managing, analyzing and communicating results to senior leadership
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. For individuals with disabilities who would like to request an accommodation, please visit https://www.amazon.jobs/en/disability/us.
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.
The Alexa Business Telemetry & Decision Science team (B-Tel for short) builds telemetry to report and analyze how customers engage with Alexa and how engagement translates to value for the business. Our products include metrics definition and instrumentation, data products consumed by Alexa BI and analytics teams, and models that predict trends and identify drivers of business outcomes. This Sr. Business Intelligence Engineer will help our Business Analytics Technologies (BAT) team to build, operate, and continuously improve tools for forecasting key Alexa customer metrics and extending our reach to support all Alexa, Entertainment, Devices & Services product lines.
If you want to be at the forefront of thinking holistically about Alexa customer engagement and how it drives long-term value for Amazon, this is the role for you.
Key job responsibilities
This role provides an opportunity to work with many internal business customers in a fast-paced
environment, understanding and defining the relationships between business metrics.
Specific responsibilities include:
• Develop data visualizations & dashboard designs that raise the bar and meet a wide range of customer needs
• Work cross-functionally with product managers, scientists, and engineers to architect the ETL pipelines underlying our products
• Dive deep into varied data sources to develop metrics systems, defining the relationships between metrics, and influencing forecasting strategy
• Build statistical models and machine learning solutions using large, multidimensional datasets to uncover trends, patterns, and opportunities
• Identify and recommend opportunities to automate processes
• Perform ad hoc analysis to quickly solve time sensitive operational issues and business cases
• Clearly communicate discrepancies and downtime, including specific root cause, steps to resolve, and ETA to a large user base
• Manage multiple projects and proactively communicate issues, priorities, and objectives
A day in the life
• Interact with product leads to understand customer pain points & collaborate to design solutions that improve customers' experience
• Learn & teach a broad range of Alexa & Devices data sources
• Assess & simplify ETL pipelines & automation between teams
• Use AWS tools to build scalable infrastructure for retrieving data, running machine learning model, and vending results, with support from Data Engineering
• Create technical requirements for Software Engineering to develop browser-based analytical tools with best-in-class visualizations & fast data processing
About the team
Alexa Business Telemetry & Decision Science (B-Tel for short) is a cross-functional team of engineers, scientists, and product/program managers who deliver telemetry, models, and insights that help Alexa's business leaders make great decisions. We are a central service within Alexa, building products used by other Alexa teams to improve how they serve end customers. B-Tel is a collaborative team; while everyone has their primary focus, we all pitch in to help each other deliver as needed and grow as builders.
- 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 information retrieval, data science, machine learning and data mining
- Experience with data visualization using Tableau, Quicksight, or similar tools
- Master's degree in statistics, data science, or an equivalent quantitative field
- Experience working directly with business stakeholders to translate between data and business needs
- Experience managing, analyzing and communicating results to senior leadership
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. For individuals with disabilities who would like to request an accommodation, please visit https://www.amazon.jobs/en/disability/us.
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.
The Alexa Business Telemetry & Decision Science team (B-Tel for short) builds telemetry to report and analyze how customers engage with Alexa and how engagement translates to value for the business. Our products include metrics definition and instrumentation, data products consumed by Alexa BI and analytics teams, and models that predict trends and identify drivers of business outcomes. This Sr. Business Intelligence Engineer will help our Business Analytics Technologies (BAT) team to build, operate, and continuously improve tools for forecasting key Alexa customer metrics and extending our reach to support all Alexa, Entertainment, Devices & Services product lines.
If you want to be at the forefront of thinking holistically about Alexa customer engagement and how it drives long-term value for Amazon, this is the role for you.
Key job responsibilities
This role provides an opportunity to work with many internal business customers in a fast-paced
environment, understanding and defining the relationships between business metrics.
Specific responsibilities include:
• Develop data visualizations & dashboard designs that raise the bar and meet a wide range of customer needs
• Work cross-functionally with product managers, scientists, and engineers to architect the ETL pipelines underlying our products
• Dive deep into varied data sources to develop metrics systems, defining the relationships between metrics, and influencing forecasting strategy
• Build statistical models and machine learning solutions using large, multidimensional datasets to uncover trends, patterns, and opportunities
• Identify and recommend opportunities to automate processes
• Perform ad hoc analysis to quickly solve time sensitive operational issues and business cases
• Clearly communicate discrepancies and downtime, including specific root cause, steps to resolve, and ETA to a large user base
• Manage multiple projects and proactively communicate issues, priorities, and objectives
A day in the life
• Interact with product leads to understand customer pain points & collaborate to design solutions that improve customers' experience
• Learn & teach a broad range of Alexa & Devices data sources
• Assess & simplify ETL pipelines & automation between teams
• Use AWS tools to build scalable infrastructure for retrieving data, running machine learning model, and vending results, with support from Data Engineering
• Create technical requirements for Software Engineering to develop browser-based analytical tools with best-in-class visualizations & fast data processing
About the team
Alexa Business Telemetry & Decision Science (B-Tel for short) is a cross-functional team of engineers, scientists, and product/program managers who deliver telemetry, models, and insights that help Alexa's business leaders make great decisions. We are a central service within Alexa, building products used by other Alexa teams to improve how they serve end customers. B-Tel is a collaborative team; while everyone has their primary focus, we all pitch in to help each other deliver as needed and grow as builders.
Other Jobs from Amazon
Innovation and Design Engineer, Worldwide Design Engineering
Bellevue, WA
US
Data Center Project Manager, US-East 2 CPI
Chantilly, VA
US
Data Center Engineering Operations Area Manager
Phoenix, AZ
US
Software Development Engineer, Artificial General Intelligence
Toronto, Ontario
Ontario, CA
Senior Software Development Engineer, AWS Config
Seattle, WA
US
Similar Jobs
Senior Project Manager (Incubation) - US
Remote
US
Software Engineer 2
Ann Arbor, MI
US
Senior Infrastructure Software Architect (REF3290S)
Remote
Budapest, Hungary
Machine Learning Engineer
Toronto, Ontario
There are more than 50,000 engineering jobs:
Subscribe to membership and unlock all jobs
Engineering Jobs
60,000+ jobs from 4,500+ well-funded companies
Updated Daily
New jobs are added every day as companies post them
Refined Search
Use filters like skill, location, etc to narrow results
Become a member
🥳🥳🥳 389 happy customers and counting...
Overall, over 80% of customers chose to renew their subscriptions after the initial sign-up.
To try it out
For active job seekers
For those who are passive looking
Cancel anytime
Frequently Asked Questions
- We prioritize job seekers as our customers, unlike bigger job sites, by charging a small fee to provide them with curated access to the best companies and up-to-date jobs. This focus allows us to deliver a more personalized and effective job search experience.
- Salaries for the engineering jobs on our site range from $100K-$200K. On average, senior engineer positions on our EchoJobs are about $160K.
- The EchoJobs positions have been sourced and vetted from the top companies to work for in the US as a software engineer, including LinkedIn and other reputable job sites. We also have syndicated jobs from companies that have just raised funding, as well as those that have great unique products and culture. From all of these sources, our founder, Morgan, has also resourced the company's authenticity in terms of their website, public appearance, and more.
- Yes, our users asked us for just this, so now our search filters allow you to search for your top jobs via location, as well as by onsite, remote, or both. Approximately 30% of our jobs are remote, so you’ve got the best options for you!
- We have not yet implemented this option, but are considering doing so in the future. For the moment, you would need to cancel your subscription, and resubscribe when you wanted to come back.
- We add new jobs to EchoJobs every day! We scan our sources for the newest jobs, verify them, and post them to EchoJobs within minutes. We add about 2,000-3,000 new jobs for you each day!
- From starting your job search to getting hired, the entire job search process can take us software engineers anywhere between 3-6 months. However, at EchoJobs, we’re striving to shorten this duration by finding the best, newest jobs for you, so you can do less job searching, and more applying.
- We’d recommend checking EchoJobs daily, as we add new jobs to the site each day. Additionally, if you got a chance to read our previous email on “what makes EchoJobs different from any other job search tools,” we also recommended that you set a job alert based on your job filters, so if you get emails on those new jobs, you could be checking more than once per day.
- If you decide to continue with us after the 1-month trial, we definitely recommend this, as we all know it usually takes 3-6 months to find a quality job as a software engineer these days. So to best support you, we just adjusted our membership options at EchoJobs to monthly, 3 months, or 12 months (this option is more for passive job seekers looking a little bit for the future if they want to come back to work or make a job switch potentially. This lets you see what’s out there in case an even better fit job becomes available.)
- EchoJobs is truly the only job site of its kind. We want to be THE spot for you to find the best job for you, and haven’t encountered any other company doing this. Other job sites are in niches besides software engineering or focus on a small portion of engineering jobs (like a specific coding language). In the words of Morgan, our founder, “I think what makes EchoJobs different is the amount of jobs, frequency that we add new jobs (we add 2,000-3,000 new jobs daily!), and the powerful search engines to find exactly the job you want more easily and efficiently. We can provide you with the most jobs that are vetted by us, we’ll continually find more new jobs for you, and we make it easier for you to apply and get hired.
What Fellow Engineers Say