招聘

Senior Business Analyst, Global Data Analytics (GDA), Finance Operations
Hyderabad, TS, IND
·
On-site
·
Full-time
·
4w ago
必备技能
SQL
Excel
Tableau
The Senior Business Analyst will join the high-visibility, growth-oriented Finance Operations, Global Data & Analytics (GDA) team. This role requires an analytical leader who can influence stakeholders through data-driven insights, build scalable reporting solutions, and develop innovative analytics to support strategic decision-making.
The position will design and deliver analytical solutions that enable one of the world’s largest Accounts Payable organizations to operate efficiently at scale and proactively identify and resolve process defects.
This role requires comfort with ambiguity and the ability to rapidly develop deep expertise in Amazon’s Order to Cash and Procure to Pay processes, along with their associated data ecosystems. The Senior Business Analyst will serve as a trusted analytics partner to over 1,200 stakeholders across Finance Operations Headquarters and global Service Centers.
Key job responsibilities
Partner with Accounts Payable leaders across Service Centers and Headquarters to identify, prioritize, and execute analytical initiatives that reduce transactional defects, optimize work drivers, measure goal performance, and assess new business expansion health.
Perform advanced analytics and financial modeling to support business prioritization, anomaly detection, and process improvement initiatives.
Leverage Quick Sight and SQL to design scalable reporting solutions and deliver actionable insights that drive operational efficiency.
Collaborate with stakeholders to define, document, and govern standardized metric definitions across teams.
Contribute to cross-functional knowledge sharing and analytics best practices.
Develop ad hoc analyses and scalable reporting to support evolving business needs.
A day in the life
The Business Analyst will be in charge of building high-performing analytics products relying on SQL, Excel and Tableau / Quick Sight. The role will business partner across global Finance Operations to become an expert in core business processes, and will work backwards to enhance metric governance, identify and action analytical opportunities, and leverage data to build compelling business cases that influence our operations. SQL skills (Intermediate / Expert level) is a must to deliver on Job 1 in this role.
About the team
Global Data Analytics (GDA) is in charge of all the Finance Operations reporting across Amazon's businesses and geographies. GDA's mission is to be trusted and business-focused analytics partners, providing timely data, analytics, and insights across Service Centers (SCs) and global functions. We are custodians of data and metrics definitions. We apply science methods to large-scale transactional processes. Our vision is to empower the world’s largest Accounts Receivable (AR) and Payable (AP) departments to deliver large scale business outcomes through advanced data capabilities and real time, actionable insights.
Basic Qualifications
- 5+ years of tax, finance or a related analytical field experience
- Experience defining requirements and using data and metrics to draw business insights
- 3+ years of writing SQL queries and creating business intelligence reports using Tableau, Power BI experience
- Experience making business recommendations and influencing stakeholders
- Experience with Excel
Preferred Qualifications
- MBA
- Experience in using AI prompts and creating low code solutions
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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关于Amazon

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+
员工数
Seattle
总部位置
$1.5T
企业估值
评价
2.9
10条评价
工作生活平衡
2.8
薪酬
3.7
企业文化
2.5
职业发展
2.3
管理层
2.1
35%
推荐给朋友
优点
Good pay and compensation
Strong benefits package
Flexible scheduling options
缺点
Poor management and leadership
Limited growth and promotion opportunities
High stress and demanding work environment
薪资范围
4个数据点
L2
L3
L4
L5
L6
L2 · Data Analyst L2
0份报告
$108,330
年薪总额
基本工资
$43,332
股票
$54,165
奖金
$10,833
$75,831
$140,829
面试经验
10次面试
难度
3.7
/ 5
时长
21-35周
录用率
20%
体验
正面 10%
中性 10%
负面 80%
面试流程
1
Application Review
2
Recruiter Screen
3
Online Assessment
4
Technical Phone Screen
5
Onsite/Virtual Loop
6
Team Matching
7
Offer
常见问题
Coding/Algorithm
System Design
Behavioral/STAR
Leadership Principles
Technical Knowledge
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