Rebekah

Experte
5,0
Former McKinsey EM whose clients have a 10x success rate over other applicants
92nd Street Y, New York, McKinsey & Company
Englisch
Vereinigte Staaten (UTC -8)
319 USD / Stunde
105
Meetings
0
Q&A Upvotes
7
Awards
5,0
40 Bewertungen

Top-Fähigkeiten

McKinsey Case & PEI
Experienced Hire & APD (non-MBA) Recruiting
Improving Structuring & Communication

Rebekahs Angebote

Lebenslauf-Review
  • Buche eine 30-minütige Lebenslauf-Review
  • Sende Deinen CV vorab an Rebekah
  • Erhalte detailliertes Feedback und Tipps

Mein Ansatz

Bewertungen

Q&A-Beiträge

Ausbildung & Berufserfahrung

Awards

Mein Ansatz
  • Mein Ansatz
  • Bewertungen
  • Q&A-Beiträge
  • Ausbildung & Berufserfahrung
  • Awards

I was a McKinsey consultant for 3 years, holding positions as an Associate, Senior Associate, and Engagement Manager, and led APD recruiting. While at McKinsey, I interviewed nearly 100 candidates so I know what it takes to stand out from the crowd. I went through Advanced Professional Degree (non-MBA) recruiting and am an expert in it and the Experienced Hire recruiting process; however, I help candidates from all backgrounds succeed during recruiting and onboarding. I am one of the highest rated advisors on Evisors where I have coached over 250 candidates to success. My clients have received offers from McKinsey's most competitive offices, including New York, San Francisco, Chicago, Washington, DC, London, and Dubai. I am candid, open, and would love to answer any questions you have about how to get a job in management consulting, the true story of life as a consultant, or how to succeed once you're hired. Let me use my insider perspective to help you get an edge on the competition!

Verfügbarkeit

Wähle Deinen Wunschtermin und buche Dein individuelles Experten-Coaching. Alle Zeiten werden in Deiner Zeitzone angezeigt (UTC -5). Der Experte befindet sich in UTC -8.
Die bevorzugten Termine des Experten werden in Grün angezeigt.
Wähle einen Termin, der am Besten in Deinen Zeitplan passt:
0:00 bis 5:00
6:00 bis 11:00
12:00 bis 17:00
18:00 bis 23:00
Wie wahrscheinlich ist es, dass du uns einem Freund oder Kommilitonen empfiehlst?
0
1
2
3
4
5
6
7
8
9
10
0 = Nicht wahrscheinlich
10 = Sehr wahrscheinlich