late career shift to analytics and big data
DESCRIPTION
This presentation contains tips for people who are switching to Analytics from another IndustryTRANSCRIPT
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Planning a late career shift to Analytics / Big data?
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Planning a late career shift to Analytics / Big data?
I am an equity analyst (finance background) and have 10+ years
experience. I don’t have any background in IT. I have a background in chemical
technology (BE) and MBA finance. Can I move to analytics?
We get quite a few queries asking my advice on this matter regularly. Here are a few samples
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Here are a few concerns people express
Would my existing profile be adaptable to
career in business analytics?
How easy (or difficult) it would be to get job in
business analytics?
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Agenda
• Thinking of a career shift – first things first
• Do you absolutely love numbers and logical problem solving?
• A few other concerns
• Dead sure this is the way – Next steps!
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The first question you need to answer…
Is career shift to analytics just a fancy or a bigger
urge / purpose for you in life?
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Credit: http://optimalbi.com/who-we-are/optimal-team/kathryn-greenbrook/
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The first question you need to answer…
I hope you are not making this choice under some
illusion, because the reality is…
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Credit: http://optimalbi.com/who-we-are/optimal-team/kathryn-greenbrook/
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Be prepared for facing these challenges
• Consistent hard work without clear sight of results for at least 12 months
• Loads of self learning
• Competition from grads from best universities
• A lot….I repeat…a lot of initial rejections
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Proceed only when Completely sure
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Agenda
• Thinking of a career shift – first things first
• Do you absolutely love numbers and logical problem solving?
• A few other concerns
• Dead sure this is the way – Next steps!
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Do you love numbers, statistics, probability and logical problem solving?
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Why are they required?
There is a lot of slicing and dicing of data, which happens before you
come out with actionable insights.
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Why are they required?
You will be required to troll through complex statistical analysis to find out answers for your questions.
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Why are they required?
You will need to perform calculations on
the fly – in meetings, during whiteboard
discussions, during
negotiations…everywhere you can
possibly think of.
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Agenda
• Thinking of a career shift – first things first
• Do you absolutely love numbers and logical problem solving?
• A few other concerns
• Dead sure this is the way – Next steps!
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Will your experience be considered?
Well, It depends…
On the nature of your experience
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Will your experience be considered?
• Non Technical Experience:- (E.g. Sales, Telecalling executive) Will not be considered
• Only benefit you might get is that the interviewer can expect you to be more mature with your thought
process / decision.
• Technical Experience:- IT (programming / SQL / server) gets counted, but will only be
considered as equivalent of 1 – 2 yrs. experience.
• Consulting/ Research Experience:- it would count more. May not be 100%, but healthy
fraction would be considered
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How soon can you find a job?
Oops! Where are all those jobs, which
were promised?
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How soon can you find a job?
• The rosy picture (recruiters running behind you) you thought, would be at
least 3 – 5 years away.
• The first few years would be very arduous (don’t tell me I didn’t warn you)
• When you land up in your true data science job depends on multiple factors
like…
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How soon can you expect to get a job depends on…
How quickly can you come up the learning curve?
Your technical abilities Your Hard Work
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Agenda
• Thinking of a career shift – first things first
• Do you absolutely love numbers and logical problem solving?
• A few other concerns
• Dead sure this is the way – Next steps!
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Only if you are dead sure about the shift…
I can’t live without
becoming an analyst
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Here is the first step…
Step 1: Sign up for a few MOOCs
to see if you enjoy the subject.
Check out:
1. Coursera.org
2. eDX.org
3. Udacity.com
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A few other resources
• Subscribe to a few blogs on the subject:
• Analytics Vidhya (www.analyticsvidhya.com)
• KDNuggets (kdnuggets.com)
• Join a few communities:
• Datatau.com
• Linkedin Groups on Analytics / Big data / Predictive modeling
• Read up a few books on the subject:
• http://www.analyticsvidhya.com/blog/2013/07/read-books-analysts-or-interested-analytics/
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