Data journalism has more in common with statistics than with math. You’ll need to look at data patterns and tell the story.
The greatest analogy is when sports announcers discuss various player statistics in order to draw game conclusions. A data journalist, on the other hand, uses real data from many industries to make judgments or conclusions.
You might, for example, compute the total renewable energy supply over the previous ten years and compare it to total power consumption over the same ten years to see how the difference has grown or shrunk.
As you can see, the math requirement isn’t too difficult. You can be a successful data journalist without having great math abilities if you can spot patterns, connect the dots, and tell a narrative based on data.