Pay
$94.4K–$145K is typical
The middle half of what similar US postings state. This one doesn’t list pay.
From 2,036 postings in the last year. Stated ranges, not salaries paid.
Seattle, Washington, USA
Actively hiring, first seen by us 1 day agoThe starting pay for this position is listed below. Starting Day 1 of employment, Amazon offers EAP, Mental Health Support, Medical Advice Line, 401(k) matching. Learn more about our benefits at https://hiring.amazon.com/why-amazon/benefits. Seattle, WA, USA - 86,615.00 USD AnnuallyRead the full posting
Employment type in the employer’s posting: full-timeFrom the employer’s posting
- Are enrolled in a academic program that is physically located in the United States
Build BI solutions: data sets, queries, reports, dashboards and analyses
Create and populate data structures using schema definition languages
Write secure, testable, maintainable code and automate manual processes
Use visualization tools and statistical methods to deliver insights to stakeholders
Troubleshoot data and code, find root causes, and own the fixes
Build small- to mid-size business intelligence (BI) solutions – data sets, queries, reports, dashboards, analyses
Create and populate data structures using one or more schema definition languages
Write secure, stable, testable, and maintainable code with minimal defects, and automate manual processes where possible
Use one or more industry analytics visualization tools
Troubleshoot data, analyses, and code, research root causes, propose solutions, and take ownership in next steps for their resolutions
- Are 18 years of age or older - Are enrolled in a academic program that is physically located in the United States - Work 40 hours/week minimum and commit to 12 week internship maximum - Experience with data querying or modeling with SQL - Experience with building and maintain basic data artifacts (e.g. ETL, data models, queries) - Experience with one or more industry analytics visualization tools (e.g. Excel, Tableau, QuickSight, MicroStrategy, PowerBI) and statistical methods (e.g. t-test, Chi-squared) - Currently working towards a Bachelor’s Degree in statistics, computer science, computer engineering, information management/systems, business analytics or other equivalent technical discipline with an expected conferral date between October 2027 – December 2030. Preferred qualifications - Experience with scripting language (e.g., Python, Java, or R) - Knowledge of data modeling and data pipeline design - Experience with relational and star schema data modeling concepts - Experience applying basic statistical methods (e.g. regression) to difficult business problems - Knowledge of how to improve code quality and optimizes BI processes (e.g. speed, cost, reliability) - Enrolled in a Master’s Degree or advanced technical degree with an expected conferral date between October 2027 – December 2030. - Previous technical internship(s), if applicable. - Ability to deal with ambiguity in a fast-paced environment. - Excellent verbal/written communication skills and data presentation skills. - Strong analytical skills. Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Actively hiringFirst seen by us 1 day ago, still listed, and not a repost of an earlier posting.
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
$94.4K–$145K is typical
The middle half of what similar US postings state. This one doesn’t list pay.
From 2,036 postings in the last year. Stated ranges, not salaries paid.
Day 1
Early. Similar jobs usually come down between day 5 and day 43.
From 14,728 similar postings that came down. Coming down is not always a hire.
550 open jobs
Open jobs by the week we first saw them, last 12 weeks.
Hiring recordAdd your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.
- Are 18 years of age or older - Are enrolled in a academic program that is physically located in the United States - Work 40 hours/week minimum and commit to 12 week internship maximum - Experience with data querying or modeling with SQL - Experience with building and maintain basic data artifacts (e.g. ETL, data models, queries) - Experience with one or more industry analytics visualization tools (e.g. Excel, Tableau, QuickSight, MicroStrategy, PowerBI) and statistical methods (e.g. t-test, Chi-squared) - Currently working towards a Bachelor’s Degree in statistics, computer science, computer engineering, information management/systems, business analytics or other equivalent technical discipline with an expected conferral date between October 2027 – December 2030. Preferred qualifications - Experience with scripting language (e.g., Python, Java, or R) - Knowledge of data modeling and data pipeline design - Experience with relational and star schema data modeling concepts - Experience applying basic statistical methods (e.g. regression) to difficult business problems - Knowledge of how to improve code quality and optimizes BI processes (e.g. speed, cost, reliability) - Enrolled in a Master’s Degree or advanced technical degree with an expected conferral date between October 2027 – December 2030. - Previous technical internship(s), if applicable. - Ability to deal with ambiguity in a fast-paced environment. - Excellent verbal/written communication skills and data presentation skills. - Strong analytical skills. Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
A day in the life Our internship program provides hands-on learning and building experiences for students who are interested in a career in business intelligence engineering. In addition to working on an impactful project, you will have the opportunity to engage with Amazonians for both personal and professional development, expand your network, and participate in fun activities with other interns throughout the summer. No matter the location of your internship, we give you the tools to own your internship and learn in a real-world setting. Basic qualifications - Are 18 years of age or older - Are enrolled in a academic program that is physically located in the United States - Work 40 hours/week minimum and commit to 12 week internship maximum - Experience with data querying or modeling with SQL - Experience with building and maintain basic data artifacts (e.g. ETL, data models, queries) - Experience with one or more industry analytics visualization tools (e.g. Excel, Tableau, QuickSight, MicroStrategy, PowerBI) and statistical methods (e.g. t-test, Chi-squared) - Currently working towards a Bachelor’s Degree in statistics, computer science, computer engineering, information management/systems, business analytics or other equivalent technical discipline with an expected conferral date between October 2027 – December 2030. Preferred qualifications - Experience with scripting language (e.g., Python, Java, or R) - Knowledge of data modeling and data pipeline design - Experience with relational and star schema data modeling concepts - Experience applying basic statistical methods (e.g. regression) to difficult business problems - Knowledge of how to improve code quality and optimizes BI processes (e.g. speed, cost, reliability) - Enrolled in a Master’s Degree or advanced technical degree with an expected conferral date between October 2027 – December 2030. - Previous technical internship(s), if applicable. - Ability to deal with ambiguity in a fast-paced environment. - Excellent verbal/written communication skills and data presentation skills. - Strong analytical skills.
If this describes you, consider joining us as an intern as Amazon is looking for Business Intelligence Engineer interns to join one of our many lines of business. Amazon interns have the opportunity to work alongside the industry’s brightest engineers who innovate every day on behalf of our customers. You will be matched to a manager and a mentor. You will have the opportunity to impact the evolution of Amazon technology as well as lead mission-critical projects early in your career. Your work will contribute to solving some of the most complex technical challenges in the company. Key job responsibilities As a Business Intelligence Engineer intern, you will/may: • Build small- to mid-size business intelligence (BI) solutions – data sets, queries, reports, dashboards, analyses – or components of larger solutions to answer business questions with data • Use well-defined requirements to build a solution that enables effective, data-driven business decisions. Deliver end product on schedule • Create and populate data structures using one or more schema definition languages (e.g. DDL, SDL, XSD, RDF) • Write secure, stable, testable, and maintainable code with minimal defects, and automate manual processes where possible • Use one or more industry analytics visualization tools (e.g. Excel, Tableau, QuickSight, MicroStrategy, PowerBI) and, as needed, statistical methods (e.g. t-test, Chi-squared) to deliver actionable insights to stakeholders • Invent, refine, and develop BI solutions to ensure they meet the needs of the business and team goals • Troubleshoot data, analyses, and code, research root causes, propose solutions, and take ownership in next steps for their resolutions A day in the life Our internship program provides hands-on learning and building experiences for students who are interested in a career in business intelligence engineering. In addition to working on an impactful project, you will have the opportunity to engage with Amazonians for both personal and professional development, expand your network, and participate in fun activities with other interns throughout the summer. No matter the location of your internship, we give you the tools to own your internship and learn in a real-world setting. Basic qualifications
Complete your application on www.amazon.jobs. The employer’s form will show what is required.
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New Analyst postings at the employers we follow are up 23% over the last 6 weeks compared with the 6 before.
Each bar is one week of new postings. The darkest bars are the last 6 weeks.
Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.
We file this job under Analyst, by the work the posting describes.
Analysts answer business questions with data. They pull numbers with SQL, build reports and dashboards, and explain what changed and why to the people making decisions.
Most postings ask for SQL, spreadsheets, a dashboard tool such as Tableau or Power BI, and clear writing.
Unlike a data scientist, an analyst mostly explains what happened rather than building models that predict what will.
The starting pay for this position is listed below. Starting Day 1 of employment, Amazon offers EAP, Mental Health Support, Medical Advice Line, 401(k) matching. Learn more about our benefits at https://hiring.amazon.com/why-amazon/benefits.
Selected passages from the saved posting. Check the full description for conditions and exceptions.
The starting pay for this position is listed below. Starting Day 1 of employment, Amazon offers EAP, Mental Health Support, Medical Advice Line, 401(k) matching. Learn more about our benefits at https://hiring.amazon.com/why-amazon/benefits. Seattle, WA, USA - 86,615.00 USD Annually
Seattle, Washington, USA
Working pattern and location restrictions need checking in the full posting.
No clear work-authorization passage found. Eligibility is unconfirmed.