The Importance of Your Resume in Getting Hired in Analytics (part 5)
Without a resume (or rather, without a good one), you don’t even get in the door. You don’t get to talk to anyone and tell them all about your experience and skills. They will never meet you or know you exist.
The self-proclaimed social web experts will contest this point. They’ll say you can do it all with Twitter. Or LinkedIn. Or online talking videos of yourself. And these may work sometimes, and they may even be useful. But they are not fundamental.
And despite what people will tell you, the resume is still fundamental.
So, how do you write one that will make the recruiters call you and your future employer eager to talk to you? The answer is very simple, but please give it a moment of thought and let it sink in.
Looking at your resume, they need to feel like you are someone that can solve their problems.
Let’s talk about a hiring managers problems. He or she is under the gun to produce results for the company. They need to be able to show that they are adding revenue, reducing costs, and optimizing processes. They need to show that they are taking the company somewhere it’s never been before, and that that place is the promised land.
Does your resume reflect that you are the one that your hiring manager has been hoping for and dreaming about? If it has the following elements, then you bet it will.
Element #1: Results
What has been the result of all the effort you’ve put into your professional life? What good has come of it? When hiring managers see that you are someone that can actually produce real world results, and not just do hard-sounding things, they will swoon. Let’s have a look at two examples of statements you might find on a resume.
Not so good:
Implemented and optimized technologies such as Tableau, Eloqua, Google Universal Analytics, SQL Server, and Python to enhance the company’s analytical capabilities.
Saved the company an estimated $200,000 to date by creating strategic dashboards in Tableau and training the campaign managers how to use them.
Which of these two individuals are you more persuaded to hire? The first statement sure sounds fancy. There are a lot of interesting technologies mentioned and big words like ‘implemented’ and ‘optimized’ and ‘analytical capabilities.’ But for a hiring manager, this one falls flat. Can you see why? It’s because it doesn’t pass the litmus test of our one, all-important, all-guiding rule – it doesn’t tell (directly) how you solve the hiring managers problems.
And we must be direct in these matters.
On to the second statement. To a hiring manager, this one shines. It’s brilliant. Why? Because they can directly see what problem you solved. You saved the company $200,000 dollars. Hero! That’s the kind of person I want to hire.
But you didn’t stop there. Oh no. Lest the hiring manager doubt your statement, you then proceeding to tell them how you did it. You said, “This is the problem I solved, and this is how I did it. And I’ll do the same thing for you.”
Bingo. You’re in.
Element #2: Skill Words
This one is for the recruiters. Put skill words in your resume, load it up to a few job sites like Monster and Career Builder, and sit back and wait for the phone to start ringing. In the field of analytics, I guarantee it will.
Recruiters everywhere are trying to find people that fit into the hard-to-fill analytics positions their clients are asking them for. They are searching desperately for anyone that can do ‘web analytics’ or ‘predictive modeling’ or ‘data visualization.’
Another level down, they are looking for people who have skills with specific (and very important) tools that are widely recognized in the industry. Here are a few of them:
– Tableau (data visualization)
– Omniture, of Adobe, SiteCatalyst (Web Analytics)
– Google Analytics (Web Analytics)
– SAS and SPSS (Statistics and modeling software)
– R (Open source Statistical language)
– Python (Open source programming language good for data handling and predictive modeling)
– SQL (Programming language used to communicate with databases)
– Eloqua (Email marketing system)
– Salesforce (Widely used CRM)
The more of these you can put on your resume, the more likely a recruiter is to find you. If you have them all, get ready for the phone to ring off the hook.
Element #3: Professional Authority
People need to know they can trust you. That you’re not pulling a fast one on them. In a word, you need some street cred.
This one is basic, but important. Education, certifications, honors. Put them on the resume. Got your degree in something other than analytics? Get a certification, take a class, or join an association that deals with analytics. This shows you are interested in and involved in the space. (In fact, this is a really good idea even if you have a degree in a related field.)
If you want to take a free course that focuses on resume writing and interviewing, look no farther than Springboard’s free curriculum to secure a data science job. It spends quite a bit of time focusing on these topics.
Learn the other elements of getting hired in analytics today.