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Career Rocket Episode 4: Launch with curiosity! Think while you ride.
Career Rocket is a joint collaboration between Empathetic Machines and DURMC
Target audience for this episode: aspiring digital analytics professionals seeking career tips
Today’s guest BIO: my friend Geoff Lewis who is ridiculously smart, humble, funny, and a total hipster who rides his bike to work
Background. Undergraduate degree in Statistics. Spent 8+ years working for small consulting firms whose solution relied heavily on data / quantitative techniques. Left Chicago to attend NC State’s Masters in Analytics program. After grad school went to work for ShareFile. At the time the company was ~25 employees and seven years later was a ~900 employee company. Now at Pendo for the last 3 years spending more time on management, operations, and strategy. He has been married for 10 years to a wonderful wife and three young kids. Right now really into running.
How many people have you managed (includes direct reports and their teams) over your career? 15
For each career stage, please share the most important characteristics to have in the field of digital analytics. (4:01)
Entry level: 1-3 years. Curiosity. Having a natural desire to understand and solve problems rather than waiting around for someone to point you in the direction.
Mid career: 3-5 years. Presentation. Presenting anything - specifically technical findings can get real boring real fast for the audience
Mgr/Directors: Authenticity
Looking back, please share what you feel have been your biggest drivers to a successful career? (21:58) Having managers that understand the value of my work. Timing & good luck. I just happened to be working in a field that blew up. Embrace ambiguity
If there was one thing you would like to tell someone earlier on in their career that you wish someone had told you, what would it be? (25:15) Focus on solutions not problems
Looking ahead, where do you think are the upcoming hot spots in careers around your discipline? (26:20) Despite the growth in analytics, I think we’re still scratching the surface even in innovative industries. I think there will be opportunities to apply analytical techniques to slower adopting industries for years to come
What are the interesting challenges you anticipate will be coming up in your discipline in the coming years? (27:27) Automation will certainly present a challenge. Of the 3 main skills: Data, Analysis, Interpretation - I think automation will impact analysis the most.
Not only do you have a successful professional career, you seem to be genuinely grounded and happy. What does living abundantly mean to you and how have you carried it out? (28:51) Having many interests and living them out. I have never considered that career ultimately defines my success. Tip: ride your bike to work.
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By Durmc & Empathetic MachinesCareer Rocket is a joint collaboration between Empathetic Machines and DURMC
Target audience for this episode: aspiring digital analytics professionals seeking career tips
Today’s guest BIO: my friend Geoff Lewis who is ridiculously smart, humble, funny, and a total hipster who rides his bike to work
Background. Undergraduate degree in Statistics. Spent 8+ years working for small consulting firms whose solution relied heavily on data / quantitative techniques. Left Chicago to attend NC State’s Masters in Analytics program. After grad school went to work for ShareFile. At the time the company was ~25 employees and seven years later was a ~900 employee company. Now at Pendo for the last 3 years spending more time on management, operations, and strategy. He has been married for 10 years to a wonderful wife and three young kids. Right now really into running.
How many people have you managed (includes direct reports and their teams) over your career? 15
For each career stage, please share the most important characteristics to have in the field of digital analytics. (4:01)
Entry level: 1-3 years. Curiosity. Having a natural desire to understand and solve problems rather than waiting around for someone to point you in the direction.
Mid career: 3-5 years. Presentation. Presenting anything - specifically technical findings can get real boring real fast for the audience
Mgr/Directors: Authenticity
Looking back, please share what you feel have been your biggest drivers to a successful career? (21:58) Having managers that understand the value of my work. Timing & good luck. I just happened to be working in a field that blew up. Embrace ambiguity
If there was one thing you would like to tell someone earlier on in their career that you wish someone had told you, what would it be? (25:15) Focus on solutions not problems
Looking ahead, where do you think are the upcoming hot spots in careers around your discipline? (26:20) Despite the growth in analytics, I think we’re still scratching the surface even in innovative industries. I think there will be opportunities to apply analytical techniques to slower adopting industries for years to come
What are the interesting challenges you anticipate will be coming up in your discipline in the coming years? (27:27) Automation will certainly present a challenge. Of the 3 main skills: Data, Analysis, Interpretation - I think automation will impact analysis the most.
Not only do you have a successful professional career, you seem to be genuinely grounded and happy. What does living abundantly mean to you and how have you carried it out? (28:51) Having many interests and living them out. I have never considered that career ultimately defines my success. Tip: ride your bike to work.