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The use case was a dumb one: forecasting of the future operations, in the retail bank application, with the very same accuracy as the historical operations (for instance, the application should forecast that you will buy some cake at Albert Heijn in ten days from now, on a Tuesday morning at 10:12, for an amount of 1.27 Euros). When I tried to transform the use case so that it makes more sense business-wise (for instance, a budget planning exercise, where we still keep the analysis of time series), the interviews were dumb and wanted to stick to the original formulation of the use case.
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Chapter Lead Data Analytics

Interviewed at ING

4.1★
Feb 23, 2018

The use case was a dumb one: forecasting of the future operations, in the retail bank application, with the very same accuracy as the historical operations (for instance, the application should forecast that you will buy some cake at Albert Heijn in ten days from now, on a Tuesday morning at 10:12, for an amount of 1.27 Euros). When I tried to transform the use case so that it makes more sense business-wise (for instance, a budget planning exercise, where we still keep the analysis of time series), the interviews were dumb and wanted to stick to the original formulation of the use case.

Asked a lot of business casing questions related to Marketing, campaign performance, One of the interviews was technical - writing tough SQL code (and they want you to be precise with the SQL code - not enough to be just conceptual), discussing Linear regressions, multi-collinearity, heteroskedascity etc. Other questions that I can think of: 1. What do you think will be the some of the challenges you will face on this job? 2. What are you biggest fears about joining Remitly? 3. What are your weaknesses? 4. Do you think we'll succeed?
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Senior Marketing Analytics Manager

Interviewed at Remitly

3.8★
Jul 17, 2015

Asked a lot of business casing questions related to Marketing, campaign performance, One of the interviews was technical - writing tough SQL code (and they want you to be precise with the SQL code - not enough to be just conceptual), discussing Linear regressions, multi-collinearity, heteroskedascity etc. Other questions that I can think of: 1. What do you think will be the some of the challenges you will face on this job? 2. What are you biggest fears about joining Remitly? 3. What are your weaknesses? 4. Do you think we'll succeed?

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