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Are you passionate about turning manufacturing and operations data into clear, actionable insights? We are seeking a BIE II to build analytics and reporting capabilities for our Robotic Manufacturing and Technical Operations (RMTO) team, equipping engineers and operations leaders with the data they need to make informed decisions and drive continuous improvement.
The BIE II will own the development and maintenance of dashboards, metrics, and analyses that provide visibility into manufacturing performance, quality, and capacity. This role partners with data and engineering teams to support data cataloging and data structure initiatives, and contributes to AI and machine learning projects by providing analytical support and tracking outcomes. The BIE II works closely with stakeholders to understand business questions and deliver well-scoped BI solutions.
- Key job responsibilities
- Build and maintain analytics dashboards and reports that provide actionable visibility into manufacturing performance, quality, and operational efficiency
- Define and track key performance indicators to support RMTO goals and continuous improvement
- Build self-service reporting tools and automate manual analytics processes to improve stakeholder access to data
- Work with stakeholders to understand business questions and translate them into specific, well-scoped BI deliverables
- Support data cataloging and data structure initiatives to improve data discoverability and accessibility across RMTO data assets
- Support AI and machine learning initiatives by preparing data, building performance tracking dashboards, and providing analytical frameworks
- Investigate data anomalies and troubleshoot issues in reports and dashboards to maintain data quality and reliability
- Write clear documentation of solutions to ensure ease of use and maintainability by others
- Participate in team design and prioritization discussions, contributing ideas and flagging risks
About the team
Amazon Robotics is located in the greater Boston area, the epicenter of robotics innovation. Our diverse team of engineers come from all over the world to design, test, and build our dynamic fleet of robots and mechatronic systems. Having our offices, labs, test floors, and factories all co-located means that we can design the hardware, write the code, test, build, and watch it all come to life. This allows us to innovate quickly and on limitless ideas. Current advancements are underway in autonomous movement and mobility, artificial intelligence and machine learning, manipulation, simulation, robotic management software, predictive analytics, and much more.
Basic Qualifications
- 3+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience
- Experience with data modeling, warehousing and building ETL pipelines
- Experience with data visualization using Tableau, Quicksight, or similar tools
- Experience writing complex SQL queries
- 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
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.
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.
USA, MA, North Reading - 99,500.00 - 160,000.00 USD annually
USA, MA, Westboro - 99,500.00 - 160,000.00 USD annually
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応募クリック数
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模擬応募者数
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スクラップ
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Amazonについて

Amazon
PublicAmazon.com, Inc. is an American multinational technology company engaged in e-commerce, cloud computing, online advertising, digital streaming, and artificial intelligence.
10,001+
従業員数
Seattle
本社所在地
$1.5T
企業価値
レビュー
2.9
10件のレビュー
ワークライフバランス
2.8
報酬
3.7
企業文化
2.5
キャリア
2.3
経営陣
2.1
35%
友人に勧める
良い点
Good pay and compensation
Strong benefits package
Flexible scheduling options
改善点
Poor management and leadership
Limited growth and promotion opportunities
High stress and demanding work environment
給与レンジ
4件のデータ
L2
L3
L4
L5
L6
L2 · Data Analyst L2
0件のレポート
$108,330
年収総額
基本給
$43,332
ストック
$54,165
ボーナス
$10,833
$75,831
$140,829
面接体験
10件の面接
難易度
3.7
/ 5
期間
21-35週間
内定率
20%
体験
ポジティブ 10%
普通 10%
ネガティブ 80%
面接プロセス
1
Application Review
2
Recruiter Screen
3
Online Assessment
4
Technical Phone Screen
5
Onsite/Virtual Loop
6
Team Matching
7
Offer
よくある質問
Coding/Algorithm
System Design
Behavioral/STAR
Leadership Principles
Technical Knowledge
ニュース&話題
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