
Organizing the world's information and making it universally accessible.
Business Intelligence Developer (English)
福利待遇
•育儿假
•弹性工作
•Learning Budget
•医疗保险
必备技能
Python
React
JavaScript
About the job
This is an exciting position that will play a key role in shaping how Finance partners with key Cloud executives and drives profitability. It will provide opportunities to lead and contribute to high-visibility projects with direct exposure to VP-level executives.
In this role, you will have the opportunity to enable hundreds of Financial Analysts/Managers and serve as the main subject matter expert on key financial systems and data marts. Your expert opinion will be actively sought after by GTM, Product, and Strategic Finance teams alike and you will play a key role in enabling decision making at executive level through applied data science. You will act as a self-initiator with a passion for identifying automation opportunities, building models, solving problems and charging the most critical and impactful work streams with your coding, statistical and data engineering skills. You will deliver practical solutions of real business benefit and will learn new tools to enable that outcome. You will also have the personal skills, creativity and drive to build your own prototype solutions and to provide training and guidance to team members and partners.Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’s cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.
Responsibilities
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Take full ownership of designing, developing, and maintaining critical data assets for Cloud Finance, including data marts, pipelines, and dashboards. Build an insightful, accurate, and production-level financial reporting infrastructure.
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Develop anomaly detection, drill-down, forecasting, and what-if modeling solutions. Combine your problem-solving acumen with technologies to surface analytics and insights at scale.
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Seek out opportunities to improve our financial operations by devising new and automating financial models and processes, statistical or driver-based forecasts and simulations.
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Serve as a trusted and reliable partner to finance colleagues across Google.
Minimum qualifications
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Bachelor's degree or equivalent practical experience.
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7 years of experience in data modeling, developing data sets, or creating data visualizations.
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Experience using BI tools like Looker or Tableau to create visualizations and dashboards.
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Experience writing SQL queries.
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Ability to communicate in English fluently to support global relations.
Preferred qualifications
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MBA, Master's degree, or advanced degree in a Technical or Scientific field of study.
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Experience supporting data-driven sales operations, consulting, or program management and strategic cross-functional BI initiatives in a cloud business.
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Experience with scripting languages such as Python, Go, JavaScript, or HTML for data manipulation, analysis, and automation.
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Experience in cloud-based data platforms and related BI services.
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Experience with statistical modeling, machine learning, or data mining techniques.
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Ability to communicate technical concepts to both technical and non-technical audiences.
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关于Google

Google specializes in internet-related services and products, including search, advertising, and software.
10,001+
员工数
Mountain View
总部位置
$1,700B
企业估值
评价
10条评价
4.5
10条评价
工作生活平衡
3.2
薪酬
4.3
企业文化
4.1
职业发展
4.2
管理层
3.8
82%
推荐率
优点
Great benefits and perks
Innovative and interesting work
Career development and learning opportunities
缺点
High pressure and expectations
Long hours and heavy workload
Fast-paced and overwhelming environment
薪资范围
57,503个数据点
Mid/L4
Mid/L4 · Accessibility Analyst
1份报告
$214,500
年薪总额
基本工资
$165,000
股票
-
奖金
-
$214,500
$214,500
面试评价
9条评价
难度
3.4
/ 5
时长
14-28周
录用率
44%
体验
正面 0%
中性 56%
负面 44%
面试流程
1
Application Review
2
Online Assessment/Technical Screen
3
Phone Screen
4
Onsite/Virtual Interviews
5
Team Matching
6
Offer
常见问题
Coding/Algorithm
System Design
Behavioral/STAR
Technical Knowledge
Product Sense
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