Is amorningpersonHas metacelebritySpeaksmore than1languageHasa petHas usedSQL in aproject in thelast 12monthsLoveslisteningtopodcastsLovescoffeeor teaHas auniquehobbyLoves tocook/bakeHasautomateda reportEnjoysoutdooractivitiesWanted tostudysomethingother thananalyticsIs afootball(soccer)fanEnjoysworkingwith largedatasetsHastravelledfor workHas built adashboardHas workedon a creditmodel orscorecardHas workedat morethan 3companiesPrefersremoteworkLovesvisualizingdataHas afavouritefinance oranalyticsbookKnowsPythonor RHasattended adataanalyticsmeetupHas a hobbyrelated tonumbers orpuzzlesIs amorningpersonHas metacelebritySpeaksmore than1languageHasa petHas usedSQL in aproject in thelast 12monthsLoveslisteningtopodcastsLovescoffeeor teaHas auniquehobbyLoves tocook/bakeHasautomateda reportEnjoysoutdooractivitiesWanted tostudysomethingother thananalyticsIs afootball(soccer)fanEnjoysworkingwith largedatasetsHastravelledfor workHas built adashboardHas workedon a creditmodel orscorecardHas workedat morethan 3companiesPrefersremoteworkLovesvisualizingdataHas afavouritefinance oranalyticsbookKnowsPythonor RHasattended adataanalyticsmeetupHas a hobbyrelated tonumbers orpuzzles

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