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Senior Business Analyst, FinOps IN BP
必备技能
SQL
Role Overview:
We are looking for a detail-oriented professional to define, document, and optimize business processes and end-to-end transaction workflows. This role bridges business operations and technology by ensuring that process flows are clearly articulated, enabling teams to design and deliver effective solutions.
- Key Responsibilities
- Business Process Definition: Analyze, document, and standardize business processes to ensure clarity, consistency, and alignment with organizational objectives.
- Transaction Flow Mapping: Design and communicate end-to-end transaction workflows, capturing each step from initiation to completion, including decision points, handoffs, and exception handling.
- Requirements Gathering: Collaborate with business stakeholders to elicit, validate, and document functional and operational requirements — including performance, scalability, and reliability standards — that drive process design.
- Design Document Review: Engage with Process Subject Matter Experts (SMEs) and Technology teams to obtain assurance that the Technology High-Level Design (HLD) and Low-Level Design (LLD) documents align with defined business processes, transaction flows, and functional requirements — ensuring that proposed solutions accurately reflect business intent before development begins.
- Process Optimization: Identify inefficiencies, redundancies, and gaps in existing workflows and recommend improvements to enhance operational effectiveness.
- Stakeholder Communication: Serve as the liaison between business units and technology teams, translating business needs into structured process documentation that guides solution development.
- Feasibility & Risk Review: Assess proposed process changes for operational risk, scalability, and compliance considerations, ensuring decisions are sound and future-ready.
- Cross-functional Collaboration: Partner with product, operations, and technology teams throughout the project lifecycle to validate process designs and support successful implementation.
- Documentation & Governance: Maintain up-to-date process documentation, workflow diagrams, and transaction models in accordance with organizational standards.
Basic Qualifications
- 3+ years of tax, finance or a related analytical field experience
- 6+ years of Accounts Receivable or Account Payable experience
- 4+ years of applying key financial performance indicators (KPIs) to analyses experience
- 6+ years of creating process improvements with automation and analysis experience
- 4+ years of identifying, leading, and executing opportunities to improve, automate, standardize or simplify finance or business tools and processes experience
- Bachelor's degree in engineering, statistics or business, or Bachelor's degree and 5+ years of quantitative role (engineering, process re-engineering, quality assurance) experience
- Experience with advanced use of SQL for data mining and business intelligence
- Experience as a lean sensei, or experience working as a Quality Assurance Engineer
Preferred Qualifications
- 4+ years of participating in continuous improvement projects in your team to scale and improve controllership with measurable results experience
- MBA, or CPA
- Knowledge of Tableau
- Experience working with large-scale data mining and reporting tools (examples: SQL, MS Access, Essbase, Cognos) and other financial systems (examples: Oracle, SAP, Lawson, JD Edwards)
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
10条评价
3.4
10条评价
工作生活平衡
2.5
薪酬
4.2
企业文化
3.0
职业发展
3.8
管理层
2.7
65%
推荐率
优点
Great benefits and competitive pay
Learning and advancement opportunities
Good teamwork and colleagues
缺点
High pressure and long hours
Poor work-life balance
Toxic work culture and management issues
薪资范围
4个数据点
L2
L6
L3
L4
L5
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
面试评价
6条评价
难度
4.0
/ 5
时长
21-35周
体验
正面 0%
中性 17%
负面 83%
面试流程
1
Application Review
2
Recruiter Screen
3
Online Assessment
4
Technical Phone Screen
5
Technical Interview
6
Onsite/Virtual Interviews
常见问题
Coding/Algorithm
System Design
Behavioral/STAR
Technical Knowledge
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