How to Make a Successful and Smooth Career Transition From Marketing to Data Science

Career Transition from Marketing to Data Science
Career Transition from Marketing to Data Science

Switching career to data science

Why data science because it is promising — offering you a lucrative career with a plethora of job opportunities. If you hail from a marketing field yourself, you might be knowing the abundant use of data to make smooth operations in business. Most importantly, being in the marketing and sales field you will be working in close association with big data analysts, who deal with a bulk amount of data. So, a transition or career switch from marketing into data science should be smooth and can happen gradually and naturally.

Where do you start?

Here are a few things that you should know before taking the big step of career transition. This works for most of all domains.

  1. Understanding the skill gap

Identifying the differences

If you are aiming to merge marketing with data science, you should familiarize yourself with potential job opportunities. Such as, roles like marketing data scientist or marketing data analyst.

Scope of data science in marketing

According to Techrepublic, an online trade publication for IT professionals, from 2019 the percentage of hiring marketing data professionals in the majority of companies has risen up. Which means, there is an abundant scope of job opportunities that await you in the marketing domain, particularly under data science.

Reach of data science in marketing

Data science in marketing opens the door to performing the following key functions:

  1. Marketing budget optimization
  • Identification of right marketing channels using time series models.
  • Email campaign optimization and efficient offer prediction to attract customers.
  • Data science insights to build an efficient strategy on social media engagement.
  • Churn prediction and identification of customer patterns and prospects.
  • Lead scoring and lead targeting by identifying potential customer value.
  • Real-time analytics in marketing to understand customer behavior.
  • Recommendation engines and predictive analysis.

Summing up

Before making a career switch from marketing to data science understand the skill gaps and job responsibilities. There are many data science related job opportunities in marketing such as — marketing data analysts and data scientists that you can pursue after skilling up. The best way to get yourself trained is by signing up for online data science training programs.

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