What Will Marketing Analyst Jobs Look Like Post AI?

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Wake up, drink coffee, look at data, drink more coffee, think about more data, build reports then wash and repeat. It’s safe to say that data (and caffeine) is the driving force behind every marketing analyst.

Working with data can manifest into a variety of tasks like: building complex reports, analyzing key metrics, or cleaning and prepping data. Because it can take so many shapes, it left us wondering what the day-to-day looks like for a marketing data analyst. 

The Daily Task of a Marketing Analyst

At their core marketing analysts look at data to support all marketing efforts. But we want to know how that translates into everyday work. At any given moment of the day, you’ll catch the analyst on your team tackling projects like: 

  • Data Analysis: Collecting, prepping, organizing and making sense of the numbers. 
  • Reporting and Presentations: Making those numbers more accessible to different stakeholders. 
  • Coding: Running queries and managing large databases – using SLQ and R. 
  • Market Research: Spending time understanding their market’s landscape, customer preference, trends and what competition is up to.
  • Campaign Analysis: Assessing the effectiveness of each marketing campaign and providing key insights for optimization.
  • Customer Segmentation and Profiling: Developing customer profiles and segments for more targeted marketing strategies. 
  • Marketing Strategy: Collaborating with stakeholders, contributing to the overall strategy using analytical insights.

And that’s just the short list. But seriously at a company, regardless of their size, as long as there is a marketing organization, your marketing data analyst is busy. 

Many businesses have been transitioning to revenue and data driven marketing strategies. Meaning the demand for these roles will continue to rise and the workload will continue to grow. According to the Bureau of Labor Statistics, marketing analyst employment is projected to increase by 19% from 2021-2031, much faster than the 7% average for other occupations. 

But until there’s more marketing analysis onboard, who will handle the increasing workload for the current team?

Solving the Marketing Analysis Bandwidth Crisis 

From that short list of daily responsibilities, we think it’s a fair assessment to say that your analyst backlog list is a mile long. That the 40-hour work week probably hits closer to 45 or 50 hour weeks from all the requests they get throughout the day. 

Think about it, how many times have you put in a request for: quarterly metrics, campaign results, social dashboards, only to be told that there is a 2-week turnaround time for a discovery call. There’s your proof that your data team needs a little help.

So, while hiring additional analysts might not be in your 2023 budget, getting access to the right tools could make all the difference in letting your analysts have their evenings back. 

This is where AI and machine learning can help your marketing analyst do a lot of the heavy lifting so that they can focus on helping drive your marketing strategy for better revenue results. 

Using AI to Make the Marketing Analyst Job Easier

We promise AI is not putting anyone out of a job… Instead, it’s a complimentary tool that analysts need to help automate certain tasks that are necessary but time consuming. 

So, let’s revisit that list of daily responsibilities and see where AI can help tackle some of the more tedious parts of a marketing analysts day:

  • Data Analysis: Dealtale can collect aggregate data into customized dashboards and pull key insights, enabling you to focus on data-driven actions. 
  • Reporting and Presentations: Dealtale can also help you schedule and automate reports, so that queries are run daily without you needing to be so hands on. 
  • Coding: While this task is still pretty manual, tools like ChatGPT can help write simple R functions and also check code so that you don’t have to spend more time than necessary on the task. 
  • Campaign Analysis: Dealtale IQ can help assess the effectiveness of marketing campaigns by using marketing attribution modeling. With a simple prompt like, “How much revenue was generated from the last campaign?” you can instantly get answers saving you hours of work. 
  • Customer Segmentation and Profiling: Another point for Dealtale IQ. Our AI platform can help you collect data to quickly build customer profiles and identify segments for more targeted marketing campaigns. 

AI and machine learning can help tackle five out of the seven responsibilities an analyst has on that list. Leaving your marketing analysts to focus on the important things that really help drive revenue like: market research and marketing strategy.

Add AI to Your Marketing Analyst’s Toolbox

Your marketing analyst deserves to have regular old 40-hour work weeks where they can accomplish tasks on-time. The best way to help them out is to add the right tools to their toolbox, enabling them to work smarter and not harder. 

Dealtale IQ is a ChatGPT-like marketing analytics tool that can help analysts conquer their daily responsibilities and focus on strategy. Schedule a call with our team today to see how Dealtale IQ can help your data team. 

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