From.At the beginning of this year's outbreak, we started one to three games a weekA marathon of free online job-hunting lectures, inviting guests from a variety of backgrounds to share their job-hunting responses to the special circumstances of the outbreak。Today we text entry to share, fromAlice, a data analyst at Google, will explain how she has dwayed from an advertising ad ad company to a tech giant, Google.

Alice：

Now that the U.S. epidemic is growing, I especially understand that it's not easy to find a job this year. Whether it's a recent graduate or a friend looking for a job ready to jump ship, it's a lot harder than ever. I've actually been through a difficult time looking for a job, as you have been through, including the fact that I'm constantly exploring and discovering myself in my career and career. So I hope to share my personal experience with youA few.Help and inspiration about finding a job and jumping ship.

How do I find my point of interest? - Internship

I find it very useful to accumulate internships and project experience during my studies.Because the internship process is actually the process of understanding the industry, but also the process of understanding yourself.

I.The first internship was inFour accounting firms, because of school reasons, so the students around will go there internship, but I found that I do not like to do this kind of financial accounting things.Later I also went to try securities companies, and then also went to media companies, then finally I found that my interest is actually in the media companies' data analysis department.When I determined my preferences and ruled out what I didn't like, I was more determined about the direction of graduate study.It also laid the groundwork for me to get my first job at GroupM, an advertising ad ad a company, in the United States.

Two necessary skills need to be developed during postgraduate studies

During my graduate studies, the two most important things about finding a job for me were training my Technical skills and Career development skills.

Technical skill needless to say, if your future job target is Data analysis, business analysis, or data scientists, then it is important to get the foundation right at this stage.That specifically at work, technical skills words, for example, because I am in the advertising industry, I will learn this kind of marketing audience strategy or price some of the courses, that technical knowledge is very important basic knowledge. I actually personally divide technical skills into two aspects, coding and statistics. Code is also data-related knowledge, such as SQL, which is the most basic human needs of things, more advanced is, R, Python, including data virtualization and so on. Besides that, there is statistical knowledge, which I think is very important, because now whether it is in the advertising company's data analysis department or the technology factory, we really want to do some interesting analytics, especially advanced analysis, then we will use a lot of statistical knowledge, such as Regresion and Machine learning model, these are my courses at that time contact, I think it is very helpful to look for a job in the future.

But in addition to technical skill, one of the things that many students tend to overlook is the career development skill.At the time, my business school focused on the development of social networking, we would have a lot of different system sessions and courses, we would practice networking, how to meet face-to-face at the time of career fair, how to quickly introduce ourselves in three minutes and so on. I think it's through these tranings that I become more at handy in terms of interviews and networking.

Get the first 3 opportunities for Dream Job

When I graduated from graduate school, I found itIn.GroupMof theFirst job。GroupM was a company I missed so much because I thought it was very estive with my profession and doing data-driven advertising marketing was one of the areas I really wanted to learn.

I was able to find such a job, and there were three points that I thought were more important.

The first is because our school program is working with GroupM, so we'll see some of its job ads on the school's internal website. So I think some students and friends can brush your school's internal website every day to see, judge and which companies are linked, and then pay attention to the school official website po out of the work, quickly access to these off-campus resources.

And one thing I think is very important, what makes you stand out isstart early。 I did a lot of interview questions at that time, modified many times the resume, so I think for friends who want to find a job and change jobs, to maintain the proficiency of the interview questions is a very important point.

So the last point, that is, I was very lucky to passLinkedinRecognizing my sister-in-law at GroupM and one of the founders of MarTechApe, I was impressed that when I met her and I was preparing for an interview, I asked questions about exactly what interviews I was going to prepare for and what I was going to do with data analytics. Fortunately, because of my sister, I learned a lot about what GroupM employees are doing every day, and then what tools and thinking they use, what kind of data they usually touch, and so on, which gives me a lot of purpose to prepare for the interview. In the end, I was lucky enough to get GroupM's offer in conjunction with my own experience.

Career advance: Move from advertising agency to Google

In my more than three years at GroupM, I've had a lot of experience working, most notably in Marketing Mix Modeling, Data Management and Reporting.These three points are the ones I feel I've gained the most at GroupM and a useful experience in helping me jump ship to Google. 

In February of this year, I successfully jumped into Google, but also completed a big technology factory to see the wish. Because I just started shortly after the outbreak, so I am still learning and exploring. Some thoughts will be shared with you in the back. What I'm doing at Google right now is mainly Data pipeline, doing some data management and data pipeline creation. Because this amount of data is so large in technology companies, we need to make it a good clean and then make a Data warehouse so that we can help pave the way faster. I'll also do some revenue analysis, because I'm also responsible for all the data analysis of Google's small and medium-sized business owners. Then this is my roughly a timeline for studying and looking for a job.

The similarities between advertising and technology companies: fast-paced, cross-sectoral, data-driven

The first is commonality, and the first is fast development.Because advertising companies and technology companies are in this industry is a lot of resources, a lot of opportunities. At the macro level, big advertising companies and technology companies have a relatively large share of the advertising sector in the market, so they have a lot of resources to develop opportunities, which requires people working in such companies every day to explore the future direction of advertising development.

Specifically in the work, you may experience, for example, the boss told you today that this project we take this direction, and then tomorrow may change direction, everything is overturned and you can feel the update iteration very quickly every day. To implement it on your own is that you may need to keep a constant learning attitude and progress with the company. You may want to get in touch with industry news a lot to see which new technologies are coming in or, say, what new technologies are coming out, which new products are coming out, and so on.Many of our colleagues also take extra courses to keep up with the industry after work. To tell you the truth, I'm a regular at MarTechApe myself, and I've learned a lot about them.I think this is aimed at some relative to some other traditional industries or, for example, financial banks or some pharmaceutical industry may not be the same place, that is, very fast development.

But at the same time advertising companies and tech giants, it's oneFrenemy (also enemy and friend)subtle relationships exist.Advertising and technology companies have a bit of a love-and-kill feeling. Because technology companies now have a lot of traffic and traffic on their platforms, they also do some advertising on their own platforms, which may have a lot to do with advertising company customers, so technology companies are also a lot of people from advertising companies. So they are complementary and use each other's resources that they are good at or specialized in, but at the same time because the shared market is similar, they also have competing relationships. 

The second thing in common is Comprehensive functionality.This is the words of advertising and technology companies they actually have a sound functional system, the company's various departments division of labor is very clear. Advertising companies, for example, have departments that target buying ads and have specialized analytics, and technology companies have different product divisions. But this downside is that everyone in the big factory without exception is a screw, the scope of work is very narrow. Sometimes working with other departments can lead to technological and knowledge faults, and it is difficult to have a global concept. So if you really want to balance what you do with what you want to learn, with a screw, you need to spend more time learning to reach out to other departments.

The third point is that advertising companies and technology companies are very data-driven, because they want to be precise positioning and marketing.Every department uses data to help make decisions, especially for large companies, both from product and user management. For some start-ups, data may not be that important. But among big companies, companies like Ad Technology are more focused on data-driven efficiency and accuracy. So if you want to join a company like this, be sure to make sure that your coding, data knowledge, all pass, practice contact.

Finally, these companies are very good at team culture.I work in the company, the atmosphere is more mature, very open. Maybe a lot of people think that Google and Facebook workers can leave work at three o'clock every day and enjoy life, in a sense. But as far as I know, there's a lot of competitive pressure on big companies like this, and there's even a last-place knockout system like Amazon. We certainly have a lot of casual people in Google, but if you really want to do something or want to get promoted, it's going to be very busy. Of course, if you want to enjoy life so there is no problem, but I want to give everyone a psychological preparation, that is, not into the big technology factory can relax, sometimes into the company is the beginning of you to fight hard.

Differences between advertising and technology companies: treatment, culture, promotion rate

The first point is the difference in pay and benefits,I think we should all know that there is a big pay gap between the two.For recent graduates, the pay gap may be even greater. In fact, advertising companies as a traditional industry, pay in different such companies are similar, the overall is not very high, the structure of pay is also based on this base salary, may be some companies will have bonus, but there should be no stock so said.But tech companies' salaries, which are made up of base salaries, bonuses and stock, will be higher.Of course this stock is said to need to be distributed on an annual basis, usually on average for four years.But considering that the cost of living is different from the price, we shouldn't just look at this absolute value. House prices and taxes are very high in Silicon Valley, so even if you earn $200,000 a year in Silicon Valley, for example, maybe the quality of your life is just fine.

The second point is work style and peer pressure, the way it works and the competitive pressures.In the advertising company, because of the bias to Party B a little more, so there is no obvious competition between us, the project dominated the majority. Basically everything listens to the leader.But technology companies are more like Party A, and you need to be fully subjective and able to work spontaneously with other teams to generate new ideas and inspiration.So if you want to jump from advertising to technology companies, the shift in work ideas is actually a big challenge.

That last word is Title and promotion.Many students may find that promotion in advertising companies is actually very fast. Take me for example, maybe a year and a half from junior to senior and then manager. Our pressures are also basically smaller, and our colleagues get along with each other in a way that's fun. But in the case of technology companies, the pace of promotion is generally very slow. An average promotion, like Google's, could take two to three years and be very slow. There's another one, because of the different promotion speeds that can make a Title difference. A lot of friends may be demoted after they jump ship, so you have to be prepared.

How to prepare for the interview of the technology factory?

There are three main points - Relevance，Thought ProcessAnd.Cultural Fit。

Referre, which I mentioned earlier, is not only technical but also business,I've probably said before that I want people to try to improve their skills, but a lot of real skills are still reflected in business. A lot of people may know what they've done when they're jumping ship, so it's easy to get caught up in the projects and work they've done. However, they do not know how to migrate existing projects and experiences to the position they are applying for.

My own approach is to incorporate my previous advertising experience into Google's interviewsI'll break up my experiences in detail and tell stories, such as what kind of business problem I've encountered, what kind of data I've analyzed, and what kind of advice I've come up with. So if there's a requirement for R on this java script code, I'll separately distill the formula I made with R and make the data transformation. So you can find out exactly what the ability and basic logic is about hiring based on the industry you want to apply to. Then prepare a small story based on your experience so that you can tell the interviewer during the interview.

The second point is TheThought Process, which will prepare a lot of material such as consulting one on one ah are some of the better reading material.That a lot of people have some case interviews when they're preparing for an interview like data scientist or data-related interviews, so I'd --- the first take minute. A lot of students may want to answer directly what I think should be like when they come across a case interview.

But in Google's case, we're actually encouraging interviewers to think first, and say,Now let me organize my language in a minute or you'll put this outline on paper and write down what you're going to say.The interviewer is actually very encouraging you to do this, so I hope you don't come up and say, not as soon as possible. The second point is breakdown. For many of this case interview problem is actually similar to the product, it is a break down need you layer to analyze the problem.

The third point is Think out loud.Many Chinese friends tend to be perfectionist when looking for a job. Just think about it and answer the question directly later. But in fact, in the interview you need to pay attention to the interviewer some international action. You need Think Out Loud, you need to say what you think. Even if it's not right or it's intermittent, tell the interviewer what you think and how your answer came about.

Then we'll go to the next one, that's Cultural Fit。This is in fact the final investigation is people willing to work with you. Different companies will have different embodiments, such as amazon has amazon principle to evaluate, Google will value the culture hit such as leadership.

Google interview process

Next I'll take my own experience as an example and give you a quick look at what the google interview is like.There may be some differences between different groups and different directions, and that's what I've summed up based on my own experience.

The first round must be HR screening. This will basically get your self-introduction, such as why google, why this position, including why you want to jump ship, the previous experence will be asked. Then at the beginning some friends will want to ask some questions about salary, in fact, there is no special taboo, but if you ask him, he basically told you that there is no specific scope, he will be based on your final interview situation and your performance to unify the company's level to rate you. Some HRs may give you an approximate salary expectation or a wide range.

The second round of words may generally be a technical to filter, the main test is data analysis. SQL/R/Python will also be tested, but mainly SQL and R are more.And in the end, case and behavioral interview. Then we talked about how to prepare for content case, product sense, modeling case.

Finally, there will be an onsite at Google. Remote onsite can now be carried out during an outbreak, and video call can be made.Generally the people in your group, the people who want to work together in the future, they repeat the knowledge points you've tested before, and give you an all over again audit. Eventually there will be an HR team matching that will see which group you should be assigned to after all these basic points have passed.

A lightning-hopping guide

This guide is aimed at people who want to change tracks or companies. When I jumped ship myself, I actually encountered four points, and I think we can avoid lightning.

Then the first one is be serious about each interview.If you are interested in this kind of technology factory friends, in fact, it is important to note that they have a Fromzen period, basically as I understand it, it may be such as three months and a half or even a year such a Fromzen period. If you want to apply for a different position in a group at the same time, there is a good chance that there will be such a period.

That a lot of students may want to invest resume and then in a company to cast a lot of different positions, perhaps he received an interview is very happy, but I hope that before applying for a position you can ask yourself, if admitted really will go, will be willing to go? I hope you can be correct attitude, carefully prepare for every interview, not because the interview opportunities are not very serious to prepare. Because the records of every interview are recorded.

The second point is, Don't stick to one company.This means that many people may have a big factory complex, but that doesn't mean we only choose big factories when we're looking for a job. Strategically, you may have to practice with other small companies and spread the net. Because one of my mistakes was that I voted google too early, and I had google offer before I got the offer from other factories and the offer from other companies. So there's no way I can do an argue with Google, and if there's no offer, your salary might not be that convincing.

That third point is Don't fight alone.I believe we all know that we need to learn from the people around us or some of the school elders around us. Some students may be their own buried brush problems, looking for a job. But I hope you can discuss the interview topic with your friends, or refer it. This is more efficient than practicing privately on a computer.

The last point is Not only work, but also lifestyle.In fact, we choose to work more is also choose which way of life, where to settle down or how, this is what you need to consider. So I hope that when we are looking for a job, we can not just look at the company, we have to consider a comprehensive point.

Job-hunting tips during the outbreak

Finally, I'd like to share with you some job-hunting tips during the outbreak. The first isKeep NetworkingIncluding.Linkedin，career center。 Linkedin is still a very nice tool and there are plenty of open positions waiting for you to dig. And then there's it是Explore Resources, like an acre of three-point land, MarTechApe is a very good resource. I found a lot of face on an acre of three-point ground. The next one isBuild Up（technical&business，cheatsheet），Now the outbreak period is a good time to learn things.And because of the current outbreak, many interviews are phone calls or videos, so you can prepare yourself a cheatsheet, if you forget to help yourself better review and prepare interview questions.Finally, don't give up, Don't give up!If you really like this job, you have to work hard to prepare, one day will achieve this goal!

Thank you very much to Miss Alice for sharing her job search experience today. If you also have a heart that wants to go to a big technology factory, if you also want to master The necessary skills for Alice teachers to enter a big factory-Marketing Mix Modeling, that's itDon't miss MarTechApe's industry-standard process, launched in conjunction with WPP's data director and marketing analytics manager, the world's largest advertising groupMarketing Portfolio Modeling Enterprise Bootcamp No. 12Focus on developing marketing data scientists!(In booking offer)

Click on the image to learn more about the project

The participants in the training camp have learned:

• The real "use data and models to solve the most important problems in marketing" experience.

• Master THE most popular data processing languages of the day, such as SQL, R, Tableau, and use these skills to solve real-world problems.

• Greatly improve Media/Advertising Industry's business awareness, familiarize yourself with the different returns (ROI) and effectiveness (Effectiveness) of advertising campaigns across different media channels, learn to look at marketing campaigns from a "marketing effectiveness" perspective, and understand the pain points of marketing and consumer insight departments of major companies.

• Jump out of the framework of school work, get started in the real business situation, the actual work of the actual case. Let the campus and the actual work seamlessly. Generalize what you've learned about Analytics to other scenarios and build systemic solutions to Case Study.

• Improve your project to demonstrate Present skills and learn how to mine meaningful stories from raw data. Solve practical problems for customers and improve Business KPIs.

• When you're done with the project, the tutor will help you create the most compelling resume with this amazing project background;All.Participants are provided with internal push opportunities, and outstanding students receive one-on-one interview coaching.

From our program, nearly 200 students graduated and were awarded data positions at major companies:

At present, the 12th issue of "Marketing Portfolio Modeling Enterprise-class Real-Life Project" is in the booking offer,Click."Read the original text"Learn more about the project!