I have been in business development / sales side of the Financial Services Industry for the past 15 years.
I have worked as a VP for several Fortune 500 companies.
Due to the market downturn and layoffs, I find myself looking to other industries for stability.
I want to get into Software / Network Sales and wanted to know what is the best way for me to break into the Information Technology industry
Should I get A+ certified, get a masters in I.T.?
You may start a business analysts career by taking some of the courses discussed in this post.
Keep in mind that for business analysis careers, soft skills count as much or in some cases even more than hard skills.
So, don’t make the classical rookie mistake of focusing on the hard skill requirements to the detriment of your soft skills!
The list of formal, informal or college courses that you may study for a business analyst career include:
[Ask IT Career Coach] is a Career Advice Column for Information Technology (IT) professionals looking for answers to their most challenging career situations.
I get a number of questions along the lines of how to get a marketing and sales job after college from new college graduates who have a degree in marketing or sales and yet find it hard to get hired based on their college degree!
Why sales & marketing graduates can’t get jobs
Traditional Marketing and Sales Jobs expects skills in prospecting, cold calling, appointment setting, in-bound / out-bound sales, presentation and closing skills.
According to projections by IDC (a well-known research firm), the amount of computing, web and digital data will increase fivefold by 2012 as a result of an upsurge in sensor signals, surveillance tapes, social network chatter, public records and more.
The increases in availability and storage of corporate transactional data within the last decade has left companies scrambling for data analysts trained in interpreting or making inferences based on data.
With the help of data analysts, companies can improve the speed and quality of their business decisions, manage risks better, predict the likelihood of favorable or unfavorable outcomes or provide their management team with improved predictive business intelligence.