채용
필수 스킬
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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Amazon 소개

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+
직원 수
Seattle
본사 위치
$1.5T
기업 가치
리뷰
2.9
10개 리뷰
워라밸
2.8
보상
3.7
문화
2.5
커리어
2.3
경영진
2.1
35%
친구에게 추천
장점
Good pay and compensation
Strong benefits package
Flexible scheduling options
단점
Poor management and leadership
Limited growth and promotion opportunities
High stress and demanding work environment
연봉 정보
4개 데이터
L2
L3
L4
L5
L6
L2 · Data Analyst L2
0개 리포트
$108,330
총 연봉
기본급
$43,332
주식
$54,165
보너스
$10,833
$75,831
$140,829
면접 경험
10개 면접
난이도
3.7
/ 5
소요 기간
21-35주
합격률
20%
경험
긍정 10%
보통 10%
부정 80%
면접 과정
1
Application Review
2
Recruiter Screen
3
Online Assessment
4
Technical Phone Screen
5
Onsite/Virtual Loop
6
Team Matching
7
Offer
자주 나오는 질문
Coding/Algorithm
System Design
Behavioral/STAR
Leadership Principles
Technical Knowledge
뉴스 & 버즈
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