招聘
Within Amazon’s Corporate Financial Planning & Analysis team (FP&A), we enjoy a unique vantage point into everything happening within Amazon. As part of that, our team designs, builds & maintains an integrated planning & reporting platform that enables hundreds of finance representatives across the globe.
In addition to requiring a high level of technical expertise within Cognos this role is about understanding the needs of the business, the data behind it, and how to transform this information into technical solutions that allow the business to make swift, informed decisions. Ideal candidates will have expertise in all phases of the software development life cycle in managing a team to build models that scale over time while balancing accuracy, flexibility and speed.
The data flowing through our platform directly contributes to decision-making by our CFO and all levels of finance leadership. If you’re passionate about building tools that enhance productivity, improve financial accuracy, reduce waste, and improve work-life harmony for a large and rapidly growing finance user base, come join us!
Key job responsibilities
Deliver reliable, scalable, and efficient Cognos solutions by managing all phases of the software development life cycle (SDLC), including requirements gathering, modeling & design, development, testing, deployment, integration, and documentation.
Partner with peer Finance teams utilizing to ensure consistent design & integration.
Work with cross-functional teams to develop solutions that accelerate cycle times, alleviate cumbersome manual processes, and ensure financial results are accurate.
Identify process improvement opportunities to drive innovation
Support dimension management, metadata design/maintenance, ETL development, and data validation processes.
Rotational on-call availability for critical systems support
Basic Qualifications
- 5+ years of relevant IBM Cognos TM1/Planning Analytics work including system configuration, model building and developing reports or dashboards with TM1 experience
- Bachelor's degree in Computer Science, Software Engineering, MIS, or a related field
- Experience in IBM Cognos TM1/Planning Analytics work including system configuration, model building and developing reports or dashboards with TM1
- Experience building complex software systems that have been successfully delivered to customers
- Experience in corporate finance including budgeting/planning, forecasting and reporting
- Experience working with technical and business stakeholders from global cross-functional teams
Preferred Qualifications
- Knowledge of the capabilities and constraints of the SFDC CRM application coupled with a good understanding of HR business processes
- Experience implementing at least two full life cycle SFDC implementations successfully
- Experience in a test-driven and formal QA development environment, including development, staging, production (or equivalent) deployment cycles
- Experience working in an Agile or Scrum environment
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
3.4
10条评价
工作生活平衡
2.3
薪酬
4.2
企业文化
3.1
职业发展
3.8
管理层
2.7
65%
推荐给朋友
优点
Great benefits and competitive compensation
Learning opportunities and career advancement
Good teamwork and colleagues
缺点
High pressure and long hours
Poor work-life balance
Toxic work culture and high turnover
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
6次面试
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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