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Quick Summary

Drive strategy and business growth through analytics innovations; mentor talented professionals to build world-class teams through leadership and empowerment.

Anirban Chatterjee

13 years of Industry experience 

https://in.linkedin.com/in/anirban-chatterjee-1103b027

Current Profile :Associate Director, Data Science At Zivame.com

Social Media

Facebook pages

Twiter Handle

LinkedIn Groups

Blogs 

etc

Key Responsibilities

  • Be completely responsible for delivering analytics-driven solutions to clients from offshore

  • Manage a team of 10+ people and deliver to exceed client expectations

  • Co-ordinate with onsite LatentView consultants to ensure high quality, on-time delivery

  • Take responsibility for technical skill-building within the organization (training, process definition, research of new tools and techniques, etc)

  • Prefrence would be given to people with experience in Retail Analytics, Marketing Analytics, etc 

  • etc

 + Do you really need to be understand statistics in deep for becoming a analytics professionals

 + Is MBA really required?

 + Next Path/Level 

 + How Social Media helping!

 + Is it necessary to learn skills like R, SAS  to become Analytics Manager ?

 + Is it very diffucult to be a analytics professionals for a Sales professional? 

   etc

Articles To Read

Best Job Ever! By C.K. Bray

etc

Skills Which Helped Anirban

  • SAS – Base, Stats, Macro 

  • R, SPSS, MatLab 

  • SQL / PL-SQL

  • Excel / VBA 

  • BigQuery, Python, Apache Spark, JQuery, Javascript​

  • Regression (Linear, Logistic), Clustering / Segmentation,

  • etc.

Anirban's Way  Of Acquiring Skills

  • etc

Other Opinions
Anirban as a Analytics Manager
Essential Requirements & Key Suggestion By Anirban
Career Track 
Anirban Chatterjee As Interviewer: Analytics Professional Profile
Send your Query
Courses/Case-Studies Suggested By Anirban
Is Analytics right career option for you?

Software Engineer

Collaborating with the team and clients to understand the existing application and map its capabilities and shortcomings with current requirements.

Core Reponsibilties:

  • etc

Senior Business Analyst

Led a team of 4-5 analysts to create research reports as per client requirements.Conferencing with industry experts and synthesizing industry trends.

Core Reponsibilties:

  • Generating reports for CxO members describing strategies for medium and long-term goals.

  • etc

Anirban's Career Track Towards Associate Director Data Science

Offshore Delivery Manager

Led a team of 6 analysts and 1 statistician to deliver customer analytics and sales forecasting insights to clients

Core Reponsibilties:

  • Groom the team to transition from "analytics output focused deliverables" to a more "value-added consulting insights backed by analytics" approach

  • etc

Associate Director-Data Science

Conceptualize, Build & Deploy the Data Science / Advanced Analytics platform

Core Reponsibilties:

  • Drive CX through personalization & integrated CRM

  • Joint ownership of improving customer conversion, test/learn initiatives

  • etc

Getting In to Industry

Truth About Analytics In E-commerce

Typical Career Path

Industry Trends & Opportunities

Understanding Analytics In E-commerce ,Banking &Marketing
Common Myths

Important Case Studies

Upsell Model case study

Marketing Mix Case Study

Workshops To Attend

 

Workshop on marketing analytics

HR Analytics

Typical Day Of Anirban As Analytics Professional

Performance evaluation of analytical models and .

Meeting with sales and marketing team for new initiatives on data analysis

Meeting with analyst and managers for iniitiating new models

etc.

Leader to follow & Why

Jack Ma

Ratan Tata

etc

Suggested Interview Preparation 

Analytics Professional to whom Arniban Hire

1. Examples of analytical model developed

2. Experience of different industry

3. Good Education Background

5 Questions You Need to Ask yourself

Can you work with cross functional teams in one single day and come up with a story?

Can you think of different industry parameters?

Can you think of optimizing your existing models?

Can you generate quanititative data from qualitative sources of information?

Do you really think you can understand online consumer psyche?

etc

Most Inspiring Analytics  Stories

Story of Musigma

 Story of Latentview

Story of Ola & Uber

Story of CitiBank & Amex

etc

Interview Questions

Q1. Your passion

Q2. Why you can be good in this profile?

Q3. Skills like R,SAS, Python

Q4. Certifications completed

Q5. Models worked with

Most challenging aspects of the job

 

To co-ordinate with different team. collecting data and putting it in one system

Career As Analytics Professional

  • Latest analytical model awareness

  • Industry related question like factors important a model in that industry.

  • Artivles read

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