介紹 (Introduction)

Google, an American tech giant with internet-related products and services ranging from operating systems (Android, Chrome OS) to mobile and desktop applications (Google Chrome, Google Adwords, etc.) and from hardware (Google Nexus line) to services like Google Cloud, Youtube TV, etc.

Google，美國科技巨頭，提供與網際網路相關的產品和服務，從作業系統(Android，Chrome OS)到移動和桌面應用程式(Google Chrome，Google Adwords等)，從硬體(Google Nexus系列)到Google之類的服務雲端，YouTube電視等

Founded in 1998, the company is headquartered in Mountain View, California. Google’s corporate mission is to “organize the world’s information and make it universally accessible and useful” and this is only possible through data.

該公司成立於1998年，總部位於加利福尼亞州山景城。 Google的企業使命是“整理世界各地的資訊，使其普遍可訪問和有用”，而這隻有通過資料才能實現。

Data is important to Google, which is why they own and operate over 20 data centers around the world. With over 3.55 billion search queries processed daily and 5 billion Youtube videos watched per day, Google is one of the most “data-rich companies in the world” and the best spot for data analysts, data scientists, and business analysts to build their careers.

資料對Google很重要，這就是為什麼它們擁有並運營全球20多個數據中心的原因。 Google每天處理超過35.5億次搜尋查詢，每天觀看50億次Youtube視訊，是全球“資料最豐富的公司”之一，也是資料分析師，資料科學家和業務分析師發展事業的最佳場所。

Google的業務分析師角色 (The Business Analyst Role at Google)

Business analysts at Google analyze data to develop different insights to drive business decisions for products, answering questions such as “How do we make the product better?” and “What do users like about the product?”.

Google的業務分析師會分析資料以開發不同的見解，以推動產品的業務決策 ，並回答諸如“我們如何使產品變得更好？”之類的問題。 和“使用者喜歡該產品什麼？”。

Google has a strong data culture and business analysts use this data to inform and drive business decisions. Roles may differ slightly based on which team an analyst is assigned to, but the general role at Google ranges from identifying solutions and new business insights through extensive data analysis and predictive modelling to requirements management and communication of insights to relevant stakeholders.

Google具有強大的資料文化，業務分析師使用這些資料來指導和推動業務決策。 根據分配給分析師的團隊的不同，角色可能會略有不同，但是Google的一般角色範圍從確定解決方案和新業務見解到廣泛的資料分析和預測模型，再到需求管理以及將見解傳達給相關利益相關者。

Interested in the business analyst role at a similar company like Amazon? Check out “The Amazon Business Analyst Interview” on Interview Query!

對類似亞馬遜這樣的公司的業務分析師職位感興趣嗎？ 在面試查詢中檢視“ Amazon Business Analyst面試”！

必備技能 (Required Skills)

The role of a business analyst at Google requires field specialization and extensive industry experience. As such, Google only employs the most qualified applicants with a minimum of 4 years (7+ for senior roles) of industry experience in quantitative analysis, consulting, or any relevant data-driven business roles.

Google的業務分析師的角色需要專業領域和豐富的行業經驗。 因此，Google僅聘用在定量分析，諮詢或任何相關的資料驅動型業務角色方面具有至少4年(至少7年以上的高階職位)行業經驗的最合格的申請人。

Other basic qualifications include:

其他基本資格包括：

• Bachelor’s (MBA, Master’s degree or PhD preferred) in Mathematics, Statistics, Computer Science, Physics, Engineering, Operations Research, Economics, Engineering, or equivalent practical experience.
  數學，統計學，電腦科學，物理學，工程學，運籌學，經濟學，工程學學士學位(MBA，碩士學位或博士學位優先)或同等的實踐經驗。
• Experience with relational databases including SQL, MySQL, MapReduce queries, database definition, and schema design, and business intelligence tools.
  具有關係資料庫方面的經驗，包括SQL，MySQL，MapReduce查詢，資料庫定義和架構設計以及商業智慧工具。
• Basic experience with scripting languages (e.g., PHP, Python, R, Perl, Java, etc.) and statistical software such as R, SAS, Matlab, Numpy/Pandas, etc.
  具有指令碼語言(例如PHP，Python，R，Perl，Java等)和統計軟體(例如R，SAS，Matlab，Numpy / Pandas等)的基本經驗。
• Experience extracting, sampling, and visualizing large data sets, along with writing and maintaining Extract, Transform, Load (ETLs) from a variety of structured and unstructured sources.
  體驗提取，取樣和視覺化大資料集，以及編寫和維護從各種結構化和非結構化源中的提取，轉換，載入(ETL)。
• Experience working cross-functionally with engineering and business teams.
  與工程和業務團隊進行跨職能合作的經驗。

Google業務分析師團隊 (Business Analyst Teams at Google)

“Google is and will always be an engineering company” and as such, data drives business decision-making at Google. Data science is at the very core of Google’s culture, employed in all facets of the company.

“ Google一直並將永遠是工程公司”，因此， 資料驅動著Google的業務決策 。 資料科學是Google文化的核心，在公司的各個方面都得到採用。

To emphasize just how important data science is to Google, they created a “People Analytics Department” to assist the company’s HR decision-making process, including deciding if managers or team members make a difference in their teams’ performance based on analysis of performance review data. The gap between data and sound business decision-making is bridged by business analysts, who dig deep into Google’s data to provide sound insights.

為了強調資料科學對Google的重要性，他們建立了“人員分析部”以協助公司的人力資源決策過程，包括根據績效評估分析確定經理或團隊成員是否對團隊績效產生影響資料。 資料與合理的業務決策之間的鴻溝由業務分析師彌合，他們深入研究Google的資料以提供合理的見解。

Based on the assigned team, the roles of a business analyst at Google may include:

根據分配的團隊，Google的業務分析師的角色可能包括：

• Google Cloud: This team helps Google customers, such as schools, government agencies, companies, etc., transform and evolve their businesses through the use of Google’s global data centre and software assets to make them more productive, mobile, and collaborative. Business analysts in this team partner with senior sales leadership to provide actionable insights, sharpen decision making, and drive a deep understanding of Google’s fast-growing business with a data-driven approach.

  Google Cloud：該團隊通過使用Google的全球資料中心和軟體資產來幫助Google客戶(例如學校，政府機構，公司等)轉變和發展其業務，以提高他們的生產力，移動性和協作性。 該團隊中的業務分析人員與高階銷售領導者合作，以資料驅動的方式提供切實可行的見解，完善決策並推動對Google快速增長的業務的深入瞭解。

• YouTube Trust & Safety: This team is dedicated to making YouTube a safe place for users, viewers, and content creators around the world to create and express themselves. Business analysts in this role leverage advanced data analytics and predictive models to identify key influencers for empowering operational efficiency and collaborate cross-functionally with various interest teams to implement scalable solutions that further optimize operational metrics.

  YouTube的信任與安全：該團隊致力於使YouTube成為世界各地的使用者，觀看者和內容建立者進行創作和表達自我的安全場所。 擔任此職務的業務分析師利用高階資料分析和預測模型來確定關鍵的影響因素，以提高運營效率，並與各種利益團隊進行跨職能協作，以實施可擴充套件的解決方案，從而進一步優化運營指標。

• YouTube Insights, Impact & Tools: This team supports the YouTube business and operations team, as well as other internal partners, with data infrastructure, tools, and analytical support for rigorous data insights, building solutions and services that transform how YouTube business teams work. Analysts also partner with business stakeholders to understand their business areas and build business requirements, connecting with data infrastructure to build pipelines, datasets, and workflows required to satisfy these requirements.

  YouTube見解，影響和工具：該團隊為YouTube業務和運營團隊以及其他內部合作伙伴提供資料基礎架構，工具和分析支援，以提供嚴格的資料見解，構建解決方案和服務，從而改變YouTube業務團隊的工作方式。 分析師還與業務涉眾合作，以瞭解他們的業務領域並建立業務需求，並與資料基礎架構連線以構建滿足這些需求所需的管道，資料集和工作流。

• Business Systems Integration: This team identifies time-consuming internal processes within Google’s internal partners and then builds reliable solutions that are scalable enough to work with the size and scope of the company. They also design and develop innovative recommendation systems from the ground up to increase business growth, apply science to Sales, and enable productivity for the Sales team.

  業務系統整合：該團隊確定Google內部合作伙伴中耗時的內部流程，然後構建可靠的解決方案，這些解決方案具有足夠的可伸縮性以適應公司的規模和範圍。 他們還從頭開始設計和開發創新的推薦系統，以提高業務增長，將科學應用於銷售併為銷售團隊提高生產力。

• gTech’s Users and Products (gUP): The gUP team builds innovative solutions that take Google’s user experience and engagement to a whole new level, supporting users across products, countries, cultures, incomes, and identities. guP helps users get the most out of Google through data modelling, metric development, data prototyping, and insight generation using statistical techniques on Google’s users complex data.

  gTech的使用者和產品(gUP)： gUP團隊構建了創新的解決方案，將Google的使用者體驗和參與度提升到一個全新的水平，為產品，國家，文化，收入和身份的使用者提供支援。 guP可使用Google使用者的複雜資料上的統計技術，通過資料建模，指標開發，資料原型設計和見解生成，幫助使用者充分利用Google。

• Sales and Sales Operations: This team leverages advanced data analytics and consistently manages reviews of key data metrics to guide decision making and enhance scalability and efficiencies. Analysts collaborate cross-functionally with Sales, Marketing, Finance, Legal and Operations teams to actively deliver standard processes, facilitating and supporting models for sales and streamline services.

  銷售和銷售運營：該團隊利用先進的資料分析功能，並持續管理關鍵資料指標的審查，以指導決策制定並增強可擴充套件性和效率。 分析師與銷售，市場，財務，法律和運營團隊進行跨職能協作，以積極交付標準流程，促進和支援銷售模型並簡化服務。

• Google Pay: This team develops and implements safe and easy payment systems for Google users by working and interfacing with various facets of the banking/payment ecosystem, including networks, issuers, gateways, and FinTechs. Other duties include driving growth across all of Google’s monetizing products through initiating projects to gather and analyse end-to-end process flows for developing comprehensive, data-backed assessments of strategic questions.

  Google Pay：該團隊通過與銀行/支付生態系統的各個方面(包括網路，發行人，閘道器和FinTechs)合作並與之互動，為Google使用者開發和實施安全便捷的支付系統。 其他職責包括通過啟動專案來收集和分析端到端流程以開發全面的，以資料為依據的戰略問題評估，從而推動Google所有貨幣化產品的增長。

面試過程 (The Interview Process)

The Google business analyst interview is just like every other Google interview process. It starts with an online phone interview with a recruiter, and then you proceed to the technical screen interview with a manager. After the technical, the recruiter will then schedule an onsite interview, which comprises three to four one-on-one interview rounds with a lunch break in between.

Google業務分析師採訪與其他所有Google採訪過程一樣。 首先是與招聘人員進行線上電話面試，然後是與經理進行技術面試。 技術培訓結束後，招聘人員將安排一次現場面試，包括三到四次一對一的面試，中間有午餐休息時間。

To become more familiar with the interview process at Google, read “The Google Data Scientist Interview” on Interview Query!

要更熟悉Google的面試過程，請 閱讀“面試查詢”中的“ Google資料科學家面試”！

初始畫面 (Initial Screen)

This is the first interview step with a recruiter or HR, and it is mainly exploratory. In this 45 minute long interview, the recruiter will ask questions about your relevant past experiences and projects, especially those that involve SQL. The recruiter will also provide insights into the company, job roles, and the company’s work culture.

這是與招聘人員或HR面試的第一步，主要是探索性的。 在這次長達45分鐘的面試中，招聘人員將詢問有關您過去的相關經驗和專案的問題 ，尤其是涉及SQL的經驗和專案 。 招聘人員還將提供有關公司，工作角色和公司工作文化的見解。

Note: In this interview, you should answer every question with a story or an experience that demonstrates your fit for the role using real-life examples and data.

注意：在這次採訪中，您應該使用真實的例子和資料，用一個故事或一種經驗來回答每個問題，以證明自己適合擔任這個角色。

Sample Questions:

樣題：

• Describe a data project you’ve done.
  描述您完成的資料專案。
• Tell me about yourself.
  說說你自己。
• Describe one project that you’re proud of that involved the practice of statistics.
  描述一個您引以為傲的涉及統計實踐的專案。

技術畫面 (Technical Screen)

Google’s business analyst technical screen follows almost the same protocol as most Google technical interviews. Standard case-based SQL questions are asked, and candidates are required to write SQL queries on a shared Google Doc.

Google的業務分析師技術螢幕遵循與大多數Google技術採訪幾乎相同的協議。 系統會詢問基於案例的標準SQL問題，要求候選人在共享的Google文件上編寫SQL查詢。

Questions are standardized, so solving SQL questions from Interview Query can better prepare you for this interview.

問題是標準化的，因此從“ 面試查詢”中解決SQL問題可以更好地為您準備這次面試。

To learn more about the types of SQL questions asked in a similar role, check out the “Product Analyst Interview Questions and Answers” article on Interview Query!

要了解有關以類似角色詢問SQL問題的型別的更多資訊， 請檢視“面試查詢”中的“產品分析師面試問題和解答”一文！

現場採訪 (Onsite Interview)

The business analyst onsite interview is comprised of three interview rounds with a manager, a product specialist, and a business analyst all lasting between 30 and 45 minutes.

業務分析師現場訪談包括與經理，產品專家和業務分析師進行的三輪訪談，這些訪談持續30至45分鐘。

Google interview candidates are assessed on four general attributes: “ general cognitive ability, leadership, role-related knowledge, and Googleyness “. Every interview question is wrapped around those four basic attributes and candidates are expected to shape their answers accordingly.

對Google面試候選人的評估具有以下四個一般屬性：“ 一般認知能力，領導才能，與角色相關的知識和Googleyness ”。 每個面試問題都圍繞這四個基本屬性，應聘者應相應地制定答案。

The schedule for a Google business analyst onsite interview looks like this:

Google業務分析師現場採訪的時間表如下：

1. Technical interview

1. 技術面試

This is an interview with a manager and questions are standard case-based SQL questions.

這是對經理的採訪，問題是基於案例的標準SQL問題。

2. Product Sense Interview

2. 產品感官訪談

3. Leadership/Behavioral Interview

3. 領導/行為面試

4. Googleyness Interview

4. Googleyness面試

注意事項 (Notes and Tips)

Google’s business analyst interview assesses candidates’ ability to leverage data analytics to identify key business insights, provide solutions, and help make sound, strategic business decisions. Interview questions cover mainly conceptual level data science knowledge, predictive modelling, metrics and strategy definition, and the ability to communicate insights to stakeholders. Brush up on your knowledge of descriptive analytics, statistics and probability, time-series, regression, and predictive modelling.

Google的業務分析師面試評估了候選人利用資料分析來識別關鍵業務見解，提供解決方案並幫助做出合理的戰略性業務決策的能力。 面試問題主要包括概念層面的資料科學知識，預測建模，指標和策略定義以及與利益相關者交流見解的能力。 掌握有關描述性分析，統計和概率，時間序列，迴歸和預測建模的知識。

Google Business Analyst面試問題： (Google Business Analyst Interview Questions:)

• How would you advise management in terms of improving current product offerings? On what basis?
  在改善當前產品方面，您將如何建議管理層？ 在什麼基礎上？
• How do you measure the value of a user?
  您如何衡量使用者價值？
• If you are the owner of a flower shop, how would you target your customers online? (Who? When? Where? How?)
  如果您是一家花店的所有者，您將如何線上定位客戶？ (誰？何時？哪裡？如何？)
• What type of SQL joins are you familiar with?
  您熟悉哪種型別SQL連線？
• What’s your ETL and OLAP experience?
  您的ETL和OLAP經驗是什麼？
• What DB and visualization tools have you used?
  您使用了哪些資料庫和視覺化工具？
• List a few SQL Analytical functions.
  列出一些SQL Analytical函式。
• Give me an example of a project you’ve led. What was the result? Which difficulties did you meet?
  給我一個您領導的專案的例子。 結果如何？ 您遇到了哪些困難？
• If you’re setting up a new e-commerce business, what are the things you would look at?
  如果您要建立一個新的電子商務業務，您會看到什麼？
• How would you build a patent system?
  您將如何建立專利制度？
• Name a google product you use and what would you change about it? How would you improve it?
  為您使用的Google產品命名，您將對其進行哪些更改？ 您將如何改善？
• Describe AdWords in three sentences to a child.
  用三個句子向一個孩子描述AdWords。

Originally published at https://www.interviewquery.com on August 1, 2020.

最初於 2020年8月1日 釋出在 https://www.interviewquery.com 上。