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BI Analyst
Amazon Web Services, Inc. ("AWS") enables customers of all sizes to run their applications on Amazon’s industry-leading cloud computing infrastructure. AWS is growing very rapidly with hundreds of thousands of companies in over 190 countries on the platform. This growth is driving the need for an experienced Business Insights Analyst. Amazon has a strong culture of data-driven decision-making; requiring timely, accurate, and actionable intelligence that delivers significant business value. We are looking for a hands-on and motivated self-starter who is passionate about using data to help us measure every area of the business and influence decision-making.
In this role, the Business Insights Analyst serves as the subject matter expert to fulfill data-driven decision making demands. As the successful candidate, you must be able to roll-up your sleeves and work directly with large and complex datasets. You will continuously evolve business reporting, conduct data analysis, build self-service reporting and analytical tools, and deliver business insights in an environment of rapid growth and increasing complexity.
You will be passionate about your work, detail-oriented, analytical, and possess creative problem-solving abilities. You will need to demonstrate subject matter expertise in querying and extracting large datasets and the accompanying tools and programming languages needed to work with them. You will possess good communication and project management skills, is customer obsessed and able to communicate complex business insights; both verbally and in writing; in a clear and precise manner.
Key job responsibilities
1. Lead the development of self-service reporting and analysis by creating and owning business reports and insight products
2. Conduct data analysis to solve business problems through the use of statistical and/or machine learning models
3. Continuously sharpen the skill-set by learning and maintaining knowledge of existing and emerging business intelligence tools
4. Collaborate with the internal and global data engineering teams on the design, development and maintenance of data infrastructure including data models
5. Collaborate with the internal and worldwide data science teams on the design, development and maintenance of statistical and/or artificial intelligence/machine learning (AI/ML) models
About the team
Inclusive Team Culture:
Here at AWS, we embrace our differences. We are committed to furthering our culture of inclusion. We have ten employee-led affinity groups, reaching 40,000 employees in over 190 chapters globally. We have innovative benefit offerings, and host annual and ongoing learning experiences, including our Conversations on Race and Ethnicity (CORE) and Amaze Con (gender diversity) conferences. Amazon’s culture of inclusion is reinforced within our 16 Leadership Principles, which remind team members to seek diverse perspectives, learn and be curious, and earn trust.
Work/Life Balance
Our team puts a high value on work-life balance. It isn’t about how many hours you spend at home or at work; it’s about the flow you establish that brings energy to both parts of your life. We believe striking the right balance between your personal and professional life is critical to life-long happiness and fulfillment. We offer flexibility in working hours and encourage you to find your own balance between your work and personal lives.
Mentorship & Career Growth:
Our team is dedicated to supporting new members. We have a broad mix of experience levels and tenures, and we’re building an environment that celebrates knowledge sharing and mentorship. We care about your career growth and strive to assign projects based on what will help each team member develop into a better-rounded professional and enable them to take on more complex tasks in the future.
Basic Qualifications
- 5+ years of Microsoft Excel experience
- Bachelor's degree in Business Administration, Finance, Economics, Computer Science, Engineering, or related field
- Experience with sales CRM tools such as Salesforce or similar software
- Experience defining, refining and implementing sales processes, procedures and policies or equivalent
Preferred Qualifications
- 5+ years of finance, business management and sales operations experience
- Experience working within a high-growth, technology company
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.
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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
10件のレビュー
3.4
10件のレビュー
ワークライフバランス
2.5
報酬
4.2
企業文化
3.0
キャリア
3.8
経営陣
2.7
65%
知人への推奨率
良い点
Great benefits and competitive pay
Learning and advancement opportunities
Good teamwork and colleagues
改善点
High pressure and long hours
Poor work-life balance
Toxic work culture and management issues
給与レンジ
4件のデータ
L2
L6
L3
L4
L5
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
面接レビュー
レビュー6件
難易度
4.0
/ 5
期間
21-35週間
体験
ポジティブ 0%
普通 17%
ネガティブ 83%
面接プロセス
1
Application Review
2
Recruiter Screen
3
Online Assessment
4
Technical Phone Screen
5
Technical Interview
6
Onsite/Virtual Interviews
よくある質問
Coding/Algorithm
System Design
Behavioral/STAR
Technical Knowledge
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