採用
必須スキル
Python
SQL
Excel
Tableau
We are seeking a detail-oriented Reporting & Automation Specialist to oversee data flows, build scalable reporting solutions and ensure timely, accurate reporting to Business, Finance, and Leadership. This role requires creating data and analytics led business solutions using BI tools like Quick-sight and excel.
- Key job responsibilities
- Build scalable reporting/dashboard solutions to monitor business KPIs for Business, Finance, and Leadership teams, ensuring that all data is accurate, relevant, and aligned with stakeholder needs.
- Serve as the primary point of contact for all advertising data and reporting-related requests from stakeholders, ensuring clear and transparent communication of requirement gathering, prioritization and execution.
- Building automated workflows: Use SQL , Quicksight and VBA to automate complex data processing workflows
- Continuous improvement of reporting processes to enhance the efficiency and accuracy of reporting.
About the team
At Amazon, we're working to be the most customer-centric company on earth. To get there, we need exceptionally talented, bright, driven, and diverse leaders. Amazon is one of the most recognizable brand names in the world and we distribute millions of products each year to our loyal customers.
Advertising is one of the fastest growing businesses at Amazon and that growth generates challenges in managing huge volumes of advertising submissions while maintaining a high customer experience and working at the speed that advertisers demand. We believe that advertising, done well, can enhance the value of our customer experience and generate a positive ROI for our advertising partners. We strive to make advertising relevant so that customers welcome it - across Amazon’s ecosystem (Amazon DSP & Sponsored Ads) of mobile and desktop websites, proprietary devices, and the Amazon Advertising Platform. If you’re interested in supporting the advertising business with a relentless focus on the customer, you’ve come to the right place!
Basic Qualifications
- Bachelor's degree in engineering, statistics, computer science, mathematics, or a related quantitative field
- 3+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience
- Experience with building and maintain basic data artifacts (e.g. ETL, data models, queries)
- Experience using Excel at an advanced level including practical knowledge of VBA/macros and advanced Excel functions
- Experience with data visualization using Tableau, Quicksight, or similar tools
- High attention to detail, especially when working with large datasets, to ensure accuracy in reporting.
Preferred Qualifications
- Experience using Python or R for data analysis or statistical tools such as SAS
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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模擬応募者数
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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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