DATA:
I have a set of data that is showing transaction times for a particular process for a number of users. i currently have 1 day and approx 200k rows and data is structured as follows:

Objective:
I want to be able to see the average / distribution of the time it takes by CNTR_NBR - e.g. what is the example time "Exam" vs "BUNC" takes but equally the distribution / extremities. Equally a separate goal (but not yet) would be is Georgeweasley slower at processing "BUNC" than "Ronweasley" is...
Question:
I have been able to trim my cntr_nbr (as the original data actually has a number of none required characters after each customer), I have been able to add processing time using multirow formula and expression:
tonumber (
IF [USER_ID]=[Row-1:USER_ID]
Then DateTimeDiff([BEGIN_DATE],[Row-1:BEGIN_Date],"seconds")
ELSE '0'
ENDIF )
In order to achieve my objective i think my option is:
Pivot, list or transpose my data so that I have each unique CNTR_NBR as a new column, and show ALL processing time values in the rows beneath, then I can analyse each column separately.
However i am struggling to cross tab / transpose to LIST all values not summarise?
i.e. below is the current progress I have made - as you can see I have each unique CTNR_NBR as a column header, and I have listed all my values but because it is a concatenate its no use to me currently.....

Equally if i am missing an easier method i would appreciate any advice!