Data Science In Marketing – How Much It’s Worth And Where To Get Trained

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When you think of marketing departments, the usual suspects probably come to mind. Developers and designers, copywriters, marketing strategists, and social media managers. But the hottest new role marketing departments are looking to fill is one you’re maybe not quite as familiar with. I mean, how much do you really know about data science in marketing?

That role is a Marketing Data Scientist, my friend. 

No I’m dead serious, here!

For example, last week, my coaching client name Rho Lall reported that he used my business coaching curriculum to land a data contract in “digital advertising” – and got a 40% pay bump in the process.

And 3 weeks ago… his fellow coaching client, Kam Lee, reported using my program to land a $96k data services contract in “revenue optimization”.

If you are a marketing data professional and looking for a place to specialize – Marketing Data Science is HOTaf at the moment…

I’ll say it again… If you’re a data-savvy marketer, or a bit of an marketing analytics nerd, searching for their next big career move ???? The field of data science in marketing has your name written ALL over it.

And if you’re more of scanner than a reader, use the links ???? to speedboat your way to the juiciest parts of this blog:

And a big career move is it ever: if you’re currently working in a marketing analytics capacity and make the transition towards marketing data science,you could quickly start making 1.6x your current salary.

Now I know what you may be thinking…”Lillian, that sounds nice and everything but wouldn’t I need to go back to school? Or take a bunch of fancy-pants, super-duper expensive trainings?”

And my answer to that question isNO! I’m going to be showing you how to pivot your career and hop aboard the marketing data science train to 1.6x your current salary with just a couple of books and online courses. Are you ready?!

A little bit of backstory.I started thinking about this exciting new field when I found a message in my LinkedIn inbox from a recruiterlooking to interview me for a Marketing Data Scientist position that she was trying to fill. The location was all wrong for me, but the email really got me thinking about data science in marketing, and what it was about my LinkedIn profile that had piqued her interest.

It’s clear I have the data science background. After all, I’ve trained over one million data professionals over on LinkedIn, and here at Data-Mania we’ve supported 10% of Fortune 500 companies. Combined with my experience growing my communities (we now have over 650,000 of you across LinkedIn, Instagram, and Twitter), as well as running the day-to-day marketing operations of running a business, I can understand why she thought I might be a good fit.

But despite my familiarity with both marketing AND data science, I still had a few questions.What exactly IS “Marketing Data Science?” What sort of work do Marketing Data Scientists do? Does the role pay well? And What is the difference between a Marketing Data Analyst and a Marketing Data Scientist?

The whole exchange between me and the recruiter got me excited about this new area of data science and what exactly it’s all about. Today, you’re going to get the complete run-down on data science in marketing, and how you can get started in this fascinating and profitable new niche. Make sure to stick around until the end to learn about the best(affordable!)resources to start up-leveling your skillset, so you can get the career recognition and pay raise you’ve been craving.

First things first…what exactly is a Marketing Data Analyst?

The role of Marketing Data Analyst is very similar to that of Business Analyst,  except that their efforts are focused solely on marketing initiatives. Marketing Data Analysts collect and analyze both internal and external datasets, and then use the information to help them strategically plan and implement marketing initiatives for their organization.

They often produce descriptive and diagnostic insights based on basic data monitoring and trend analysis, and focus heavily on market research and planning. The technical skills required to be a Marketing Data Analyst are usually Excel, SQL, and perhaps SAS. In the United States, theaverage salary for a Marketing Data Analyst is $68,748/year (according toGlassDoor).What about Marketing Data Scientists? 

Marketing data scientists, on the other hand, focus exclusively on improving organizational marketing effectiveness. By analyzing both internal and external datasets, these strategic professionals help their organizations to better understand their customers, as well as advise on modifications or additions to marketing tactics and analysis methodologies. 

Their main job?Producingreliable predictive and prescriptive insights,based on advanced statistical modeling and/or machine learning methodologies. And while the nature of the marketing data scientist role is technical, it’s impossible to thrive in this role without seasoned soft skills – being able to communicate complex ideas in simple terms is crucial to management understanding and benefiting from the work they do. 

In the United States, theaverage salary for a Marketing Data Scientist is $113,309/year (according toGlassDoor).More about the role, skill requirements, and background requirements are listed below. 

Has getting started in marketing data science piqued your interest? If you’re looking to get trained in this exciting new field, I have a variety of resources for you, depending on how you like to learn best!

For certain technical skills, such as Python or SQL, many learners find they prefer watching a video to easily see certain concepts visualized. If this is you, an online course might be your best bet. For other, more theoretical skills, you might want to cozy up with a book and take some notes! No matter which way you prefer to learn, here are some incredible resources to get you well on your way to becoming a marketing data scientist.

Looking for a high-level overview of data science? My book,Data Science For Dummies, will bring you up to speed!

As a data marketing scientist, you’ll need great interpersonal skills to collaborate with data engineers, business management, and other support personnel.

With a Marketing Data Scientist’s salary costing a hefty $113,309/year(nearly TWICE as much as that of a Marketing Data Analyst)you may be wondering, why would an organization want to pay so much more to equip its Marketing Department with its very own designated data scientist? 

The predictive and prescriptive insights generated through marketing data science can and DO have the capacity to increase the maximum earning potential of today’s businesses; businesses that may have otherwise have remained in a competitive standstill for years to come. Data science is a powerful tool that marketing departments looking to increase profits simply can’t ignore, and they’re willing to shell out the sizable salary needed to reap the benefits.

Have you been considering making a career transition into data science? What is most exciting to you about the field? What factors have kept you hesitating? What are your thoughts on the use of data science in marketing? Whattype of data scienceis most of interest to you? I’m always looking to chat with my readers and hear more about what kind of resources and content they’re looking for. Come say hi using the chat button in the corner of the site and tell me what you want to learn next!

Want to dive deeper into learning about how you can use data to uplevel your career? While Marketing Data Scientists make bank, if you want to jump straight to the highest rung of the data science career ladder, I’ve got something in store for you.

If you’re ready to double your salary without the downtime of taking yet more coding courses, you’re going to want to check out Winning With Data. Winning With Data is a 30-day challenge & digital asset bundle that dramatically shortcuts the path to becoming a highly-regarded data leader, even if you don’t have a decade of data implementation experience!

Join Winning With Data now and start taking decisive action to become a better data leader TODAY!