Category: Careers


Finding Connections

Filed Under: Careers by Look_beyond_resumes — Leave a comment
February 9, 2011

In the United States, an experimental programme is underway. Termed Extreme Recruitment, this programme aims at increasing the probability of children abandoned, or left to the care of the government of being adopted. Whereas earlier the governmental departments dealing with adoptions would identify 10 probable prospective adoptive families, Extreme Recruitment can identify up to 80 probables! What is this programme doing differently? Extreme Recruitment looks for connections in the child’s life – aunts, uncles, cousins, grandparents – anyone who could possibly have a connection with the child. The equation is simple enough –

1 Child = Multiple Connections = One Willing Family

Extreme Recruitment represents a very common logic that can be applied to any aspect of one’s life. Take even careers. If you are looking a building a career which brings you prosperity and success, the key lies in identifying all possible connections that will eventually lead to that one conversion.

What are the possible connections? Your strengths, key attributes, skills, interests and aspirations. These connections will eventually lead you to the career or the profession or even more simplistically the job that you are meant to be in.

If a child who never hoped to be part of a family could find happiness, there is no reason why you cannot hope to build the career of your dreams.

1 Career =  Multiple Connections = One Dream Career

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Walking in Jack’s Shoes

Filed Under: Careers by Look_beyond_resumes — Leave a comment
February 9, 2011

Ever thought about what it feels like to be in Jack’s shoes?

When I was 15, I went through career counseling – a term they use to inform you that since you have not already made up your mind about what you want to do, then someone else will. My career counselor, who looked rather frustrated dealing with a bunch of giggly girls all day informed me that I should be in a career which involved communication. Cable TV had introduced us to futuristic news channels and I was completely fascinated with news reporting which was glamorous and exciting (what do you expect after watching the daily news report on DD) I spent a considerable amount of time in front of the television and the mirror preparing for a career in news reporting.

At age 16, a high school teacher known for her ability to identify the success stories in each batch, gave us a talk about the solid and inspiring profession of teaching. ‘It is not a career for those who are not serious about life’ looking pointedly at the backbenchers, a fraternity I was proud to be part of until that moment. Out went my images of news reporting, and in came the images of myself seated behind a desk correcting answer sheets and circling answers in bright red.

At age 17 as the prospect of leaving school came closer, I made a pact with two of my closest friends that we would use our collective efforts to choose a professional course that was in line with our brilliant academic record (our academic performance was not exactly exemplary ) We joined a course in accountancy because a friend’s father (a well known accountant) felt that the mindset of the female species is best suited to the rigor of solving complex accounting problems (we did not need much persuasion as the boys in accounting tutorials were smarter as well)

School and college are if not anything representative of how we spend most of our life deciding what we want to do professionally. We spend more than 50% of our lives working, and getting it right is so important. While some of us get the answer relatively early, there are others who spend perhaps most of their productive life scratching their heads.

Finding the right profession or career or job for oneself is perhaps one of the best gifts you can give yourself. And though one could philosophically say that the journey is meant to be enjoyed, spending your life flitting from one job to another, one profession to another can be truly exhausting. Ask Jack!

My conclusion – though Jack belonged to all trades, he must have definitely spent many a sleepless night wondering why he just could not be the Master of One.

You need not be a Jack – visit us at www.analyticstraining.in/careers

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Analytics Opportunities- Dec 31st 2010

Filed Under: Analytics, Careers by Team_ATI — Leave a comment
December 31, 2010

Analytics Training Institute is looking for analysts fitting the following profiles. If interested please mail with Job ID Number and latest CV to capability@analyticstraining.in.  Make sure you have completed the BEI Assessment and at least on technical assessment to be eligible for these openings. Assessments are now online and can be completed here 

JATI_0024

Leading Developer of Statistical Analytical Software is looking for professionals with 0 – 1 year experience for Presales Demonstration, Presentation, Problem Solving, Post Sales Training to end users. Additional responsibilities would include participation in Road Shows, Work Shops, Seminars etc

Requirements are:

  1. Bachelors or Masters in Statistics
  2. Prior knowledge of Statistical Tools will be an advantage
  3. Prior knowledge of VB, C++ and Data Mining will be an added advantage

Selected candidate will be based in New Delhi

JATI_0025

Leading KPO in the Analytics Space is looking for professionals 0 – 2 years experience with an interest in building a career in Analytics for data analysis and reporting roles. Requirements are:

  1. Proficiency in Excel and VBA
  2. Desire to learn
  3. Ability to deal with challenging situations

Location: Bangalore

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Analytics Opportunities- December 2010

Filed Under: Analytics, Careers by analytic_atiblog — 1 Comment
December 28, 2010

Analytics Training Institute is looking for analysts fitting the following profiles. If interested please mail with Job ID Number and latest CV to capability@analyticstraining.in.  Make sure you have completed the BEI Assessment and at least on technical assessment to be eligible for these openings. Assessments are now online and can be completed here 

JATI_0015:

Global Analytics Offshoring Company looking for professionals with 6 months to 2 years experience for data analysis and reporting. Requirements are:

  1. Willingness to work night shift
  2. Proficiency in SAS
  3. Ability to think out of the box
  4. Tenacity
  5. Strong customer orientation

Location: Bangalore

JATI_0016:

Leader in Marketing Analytics wants professionals with 0 to 2 years experience, passionate about building a career in Analytics, for data management and reporting roles. Requirements are:

  1. Strong customer orientation
  2. Ability to adapt to changes
  3. Proficiency in SAS and Excel

Location: Bangalore

JATI_0017

MNC in Analytics looking for professionals with 1 to 3 years experience with the following requirements:

  1. Proficiency in Excel and VBA
  2. Willingness to work night shift
  3. Willingness to learn

Location: Bangalore

JATI_0018

Leading KPO wants bright professionals for openings in Business Research with:

  1. 0 – 2 years work experience
  2. Ability to conceptualize and articulate thoughts
  3. Strong analytical thinking
  4. Ability to ideate

Location: Bangalore

JATI_0019

Market Leader in Analytics is looking for professionals passionate about Analytics with strong Excel and VBA skills. One to two years work experience, and an ability to work in challenging situations will be an added advantage.

Location: Bangalore

JATI_0020

Banking conglomerate is looking for professionals with prior experience in Quantitative Research and Analysis for the position of Business Analyst.  Job would primarily entail quantitative and qualitative analyses and reporting. Pre requisites are:

  1. Proficiency in SAS or other Analytical Tool
  2. Strong Communication skills
  3. Ability to engage with senior members of the organization
  4. Educational background in any one of the following: Mathematics, Engineering, Economics, Finance, Science and Statistics

JATI_0021

Banking conglomerate is looking for professionals for the opening of Data Analyst. Job would require maintenance of data infrastructure, detailed analyses and reporting using a wide range of data sources and analytical tools. Requirements are:

  1. Proficiency in SAS or other Analytical Tool
  2. Prior work experience in data analysis and problem solving
  3. MBA or Masters in Quantitative field
  4. Strong communication and reporting skills
  5. Ability to innovate
  6. Educational background in any one of the following: Economics, Mathematics, Statistics, Finance, Engineering and Computer Science

JATI_0022

India’s Largest Analytics KPO is looking for freshly qualified engineers with:

  1. Strong Excel and VBA Skills
  2. Good attitude
  3. Willingness to work in challenging situations
  4. Strong propensity to learn

Location: Bangalore

JATI_0023

Global Marketing Analytics Organization is looking for professionals for position of Analyst in the Business Intelligence space. Requirements are:

  1. 3 years experience in core development
  2. Proficient in ASP.NET with C#
  3. Prior experience in Ajax
  4. Should have worked on web applications for approximately 2 years
  5. Strong knowledge on web concepts
  6. Basic knowledge of SQL and PL/SQL
  7. PHP and JSP knowledge would be an added advantage
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    What Makes a Good Analyst

    Filed Under: Analytics, Careers by analytic_atiblog — 1 Comment
    December 9, 2010

    In our interaction with students and the industry, one of the questions we get asked most often is: “What makes a good analyst”. This conundrum is faced by both sides of the coin- what are the skills I need to possess to be successful in the analytics industry, what kind of people should I hire to ensure that they perform well in analytical roles. A lot depends on the specificity of the role and the organizational culture- but some of the skills/attitudes that we believe are absolutely essential for this industry are outlined below:

    Technological Prowess as measured by Logical Reasoning- Not measured as much by the number of programming languages you know, or the certifications you have, but by your ability to write short, smart algorithms to solve complex problems. Whether it is to build a database or  to run a scoring model or create variable transformations, logical reasoning and an innate appreciation of technology is much more important than actually ‘knowing’ a programming language or statistical software.

    Business Thinking- What does business thinking mean? An awareness of what’s happening in the industry, an ability to put disparate pieces of the jigsaw together and see the bigger picture and an ability to correlate numbers with people and processes. Let us take an example- when building a scorecard for predicting the default of auto loans, a statistician alone may think that the length of the name is a highly significant variable, but a business thinker will realize that no credit policy in the world can ban people with long names from receiving loans, and therefore reject that variable. Similarly, a business thinker will be able to imbibe the latest from the industry -because he/she reads regularly, and is connected with the right set of people- instead of having to reinvent the wheel every single time.

    The bad news is that business thinking is often ignored, the good news is that it is not difficult to cultivate- with a little bit of hardwork, attention to detail and many many hours of reading.

    Goal-Orientation coupled with flexibility- As any seasoned analyst will tell you, 80% of a project is a long hours spent in data understanding, data cleaning and variable transformation, 15% is inspirational thinking and about 5% is statistics! It is easier to conceptualize a project and plan its execution than to put in the long hours required to create a complete comprehensive output! The best analysts are tenacious like terriers, refusing to give up , agreeable to working long hours and flexible enough to change their approach as many times as it takes to get to the desired business outcome

    What do you believe are the most desired qualities in an analyst? Let’s keep the discussion going in the comments space below- so that we may get closer to the formula for a perfect analyst!

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