Has afavouritefinance oranalyticsbookHas workedat morethan 3companiesEnjoysoutdooractivitiesIs afootball(soccer)fanIs amorningpersonLoves tocook/bakeSpeaksmore than1languagePrefersremoteworkHas built adashboardHastravelledfor workLovesvisualizingdataHas usedSQL in aproject in thelast 12monthsKnowsPythonor REnjoysworkingwith largedatasetsHasattended adataanalyticsmeetupHasa petHas a hobbyrelated tonumbers orpuzzlesLoveslisteningtopodcastsHasautomateda reportWanted tostudysomethingother thananalyticsHas metacelebrityLovescoffeeor teaHas auniquehobbyHas workedon a creditmodel orscorecardHas afavouritefinance oranalyticsbookHas workedat morethan 3companiesEnjoysoutdooractivitiesIs afootball(soccer)fanIs amorningpersonLoves tocook/bakeSpeaksmore than1languagePrefersremoteworkHas built adashboardHastravelledfor workLovesvisualizingdataHas usedSQL in aproject in thelast 12monthsKnowsPythonor REnjoysworkingwith largedatasetsHasattended adataanalyticsmeetupHasa petHas a hobbyrelated tonumbers orpuzzlesLoveslisteningtopodcastsHasautomateda reportWanted tostudysomethingother thananalyticsHas metacelebrityLovescoffeeor teaHas auniquehobbyHas workedon a creditmodel orscorecard

Decision Analytics New Joiner Bingo - Call List

(Print) Use this randomly generated list as your call list when playing the game. There is no need to say the BINGO column name. Place some kind of mark (like an X, a checkmark, a dot, tally mark, etc) on each cell as you announce it, to keep track. You can also cut out each item, place them in a bag and pull words from the bag.


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  1. Has a favourite finance or analytics book
  2. Has worked at more than 3 companies
  3. Enjoys outdoor activities
  4. Is a football (soccer) fan
  5. Is a morning person
  6. Loves to cook/bake
  7. Speaks more than 1 language
  8. Prefers remote work
  9. Has built a dashboard
  10. Has travelled for work
  11. Loves visualizing data
  12. Has used SQL in a project in the last 12 months
  13. Knows Python or R
  14. Enjoys working with large datasets
  15. Has attended a data analytics meetup
  16. Has a pet
  17. Has a hobby related to numbers or puzzles
  18. Loves listening to podcasts
  19. Has automated a report
  20. Wanted to study something other than analytics
  21. Has met a celebrity
  22. Loves coffee or tea
  23. Has a unique hobby
  24. Has worked on a credit model or scorecard