CareerDiscussionCreate aGeneralDevelopmentPlanMake aconnection withcareer mentor toget support inmy careerjourneyPick 1 competency atyour career stagelevel to develop andmaster and show 1instance where thatwas intentionally putin practiceShare Knowledge:Post at least 5learnings,accomplishments,events etc. on WWFinOps SiteNetworking- FinanceSign upfor LIFTmentorprogramHold aninformationalInterviewMeet with atleast oneGM outsideof FinOpsand FargoComplete final3rd ofStorytelling inData AnalyticsBeginner badgeInboxto ZeroWatchcourse:learning dataanalyticsNetworking- NonFinanceDedicate 1 houreach week for amonth toLearning orDevelopmentUpdateLinkedInProfilePay itForward!Complete 1stthird ofStorytelling inData AnalyticsBeginner badgeListen to a PodCaston a Career-relatedtopic of interest toyou. As analternative: WatchNavigating yourCareer Presentationfrom Discover DaysAchieve aLinkedIn ProfileStrength of"Expert" orhigherTake a skillbased trainingor read anarticle from anexpert!Completed 2ndthird ofStorytelling inData AnalyticsBeginner badgeIntroductionto PrivilegeeLessonModuleCompleteCOItrainingsfor H1Ask forfeedbackfrom aColleaguewatchcourse:learningexcel: dataanlysisCareerDiscussionCreate aGeneralDevelopmentPlanMake aconnection withcareer mentor toget support inmy careerjourneyPick 1 competency atyour career stagelevel to develop andmaster and show 1instance where thatwas intentionally putin practiceShare Knowledge:Post at least 5learnings,accomplishments,events etc. on WWFinOps SiteNetworking- FinanceSign upfor LIFTmentorprogramHold aninformationalInterviewMeet with atleast oneGM outsideof FinOpsand FargoComplete final3rd ofStorytelling inData AnalyticsBeginner badgeInboxto ZeroWatchcourse:learning dataanalyticsNetworking- NonFinanceDedicate 1 houreach week for amonth toLearning orDevelopmentUpdateLinkedInProfilePay itForward!Complete 1stthird ofStorytelling inData AnalyticsBeginner badgeListen to a PodCaston a Career-relatedtopic of interest toyou. As analternative: WatchNavigating yourCareer Presentationfrom Discover DaysAchieve aLinkedIn ProfileStrength of"Expert" orhigherTake a skillbased trainingor read anarticle from anexpert!Completed 2ndthird ofStorytelling inData AnalyticsBeginner badgeIntroductionto PrivilegeeLessonModuleCompleteCOItrainingsfor H1Ask forfeedbackfrom aColleaguewatchcourse:learningexcel: dataanlysis

Naomi's Bingo Card - 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. Career Discussion
  2. Create a General Development Plan
  3. Make a connection with career mentor to get support in my career journey
  4. Pick 1 competency at your career stage level to develop and master and show 1 instance where that was intentionally put in practice
  5. Share Knowledge: Post at least 5 learnings, accomplishments, events etc. on WW FinOps Site
  6. Networking - Finance
  7. Sign up for LIFT mentor program
  8. Hold an informational Interview
  9. Meet with at least one GM outside of FinOps and Fargo
  10. Complete final 3rd of Storytelling in Data Analytics Beginner badge
  11. Inbox to Zero
  12. Watch course: learning data analytics
  13. Networking - Non Finance
  14. Dedicate 1 hour each week for a month to Learning or Development
  15. Update LinkedIn Profile
  16. Pay it Forward!
  17. Complete 1st third of Storytelling in Data Analytics Beginner badge
  18. Listen to a PodCast on a Career-related topic of interest to you. As an alternative: Watch Navigating your Career Presentation from Discover Days
  19. Achieve a LinkedIn Profile Strength of "Expert" or higher
  20. Take a skill based training or read an article from an expert!
  21. Completed 2nd third of Storytelling in Data Analytics Beginner badge
  22. Introduction to Privilege eLesson Module
  23. Complete COI trainings for H1
  24. Ask for feedback from a Colleague
  25. watch course: learning excel: data anlysis