Which is the best way to relocate the budget ?
Analyste Marketing Interview Questions
4,973 analyste marketing interview questions shared by candidates
They asked about data you need to analyse why sale dropped?
What are you strengths & weaknesses?
Where do you think you will really shine in our internship? Describe a time when you have worked in a team to deliver a challenging goal? How did you ensure that the team succeeded?
The test was divided into 4 parts 1. Easy computational American questions 2. Two Excel questions, you get a lot of data and you have to analyze it (I recommend learning all the terms of PPC before the test and also what funal is in addition to knowing well Pivot Table 3. An Excel question with data to be analyzed and larger trends identified 4. We accept videos with open questions, who is the target audience? Where should these videos be posted? etc'. Marketing questions
Apart from playing with numbers, and liking with maths, what brings you here?
You given several sheets with data about visitors - registrations - sales, by dates and you need to think and analyze what happened. Later on, it's divided into countries and Operation systems.
What brand do you think markets itself very well and why?
How I ensured senior leadership buy-in when making recommendations.
The Wall Street in New York is known for its breathtaking skyscrapers. But the raining season is approaching, and the amount of water that will fall over the buildings is going to be huge this year. Since every building is stuck to the buildings to its left and to its right (except for the first and the last one), the water can leak from a building only if the height of the building is higher than the height of the building to its left or to its right (the height of the edges of Wall Street is 0). All the buildings have the width of 1 meter. You are given the heights (in meters) of the buildings on Wall Street from left to right, and your task is to print to the standard output (stdout) the total amount of water (in cubic meters) held over the buildings on Wall Street. Example input: heights: [9 8 7 8 9 5 6] Example output: 5
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