It’s important to understand that every job is a spectrum between what you can get to in the long run and what you need to get to in the short run. That’s why you do the research and write up the reports. You want to ensure that you get the best possible position for the best pay.
That is also why it is important to know what makes up each job’s salary band. The salary range of a marketing data analyst is pretty much the same as that of a data scientist, but the difference is that the data analyst is an analyst and writes reports and is responsible for making the analysis. A data scientist is more of a scientist who performs analysis.
One of the more interesting aspects of a data analyst position is the amount of time it takes to perform the analysis. A data scientist is supposed to be able to perform analysis in as little as two hours, while a marketing data analyst might be responsible for making dozens of reports that take as long as two hours to complete.
While a data scientist might be responsible for more analysis than a marketing data analyst, they seem to actually tend to be the less creative type of analyst. That’s because they have to work with a more scientific method. A data scientist can analyze data, so they are able to make predictions about what data to look at and how to interpret it.
The difference between a data scientist and a data analyst is that a data scientist actually finds patterns that are useful to the business. You know the “huh?”s. A data analyst is more likely to make quick, easy, and even silly mistakes, so they are more likely to be forgiven. The difference is, a data scientist will work with the data to understand it and make the most accurate predictions possible.
The key word in this sentence is “will.” A data scientist is, in essence, an optimizer, which means they are going to make the most accurate predictions. This is the job of a data analyst. The job of a marketing data analyst is to find the data that best suits the business’s needs.
Marketing data analyst salaries are starting in the $60,000 range, but they will go up. The average salary for data scientists is $108,000, and for data analysts, it is up to $114,000. The differences are not only due to the type of job, but also to the field they are in. Marketing data analysts tend to like data science, and data scientists like to analyze marketing data.
Data analysts are generally in the industry or working in it for a while. The data analytics jobs are in the industry.
There may be more, but that’s the general trend. Data analysts tend to be more senior, and so the higher the pay goes, the more senior the position. The field is also more highly competitive, so as the market for data analysts expands, the pay tends to go up.
With all the recent layoffs, it’s clear that marketing data analysts are starting to be paid less. I think it will start to be less true in the near future, but I don’t know the exact time frame. We should get that time frame into our monthly newsletter once we get a good idea of where the field will be in the next year or two.