May 19, 2014
The 353 staff- and 296 managerial-level insurance IT pros in our survey saw modest bumps in compensation. While over three-quarters of both staffers and managers got raises within the past 12 months, just 23% of staff and 31% of management report increases of 5% or more. Other data points:
>> 90% of managers and 78% of staffers expect to receive bonuses in 2014.
>> 62% of staff attended company-paid training in the past 12 months; 61% of managers say the same.
>> 32% of managers hold an MBA or other master’s degree (31%) or PhD (1%).
>> 21% of managers seeking new jobs say they want less stress.
>> 9% of both staffers and managers feel insecure in their jobs.
Respondent breakdown: 41% work for insurance firms with 5,000 or more employees; 25% have over 20,000.(R7860514_INS)
Survey Name InformationWeek 2014 US IT Salary Survey: Insurance
Survey Date February 2014
Region United States
Number of Respondents 649 insurance IT professionals, consisting of 353 staff and 296 managers
Purpose To track IT salary and compensation trends from the perspective of those people on the front lines, InformationWeek conducts an annual US IT Salary Survey. Now in its 17th year, it’s the largest employee-based IT salary survey in the country. This year 11,662 full-time IT professionals completed the web-based survey. The goal of this trendable study is to measure various aspects of compensation, benefits, and job satisfaction. This report focuses specifically on the 649 insurance IT professionals who participated in the survey.
Methodology The survey was designed by InformationWeek and fielded online. The survey was promoted in InformationWeek’s daily and weekly newsletters. In addition, we sent email invitations with an embedded link to the survey to qualified IT professionals from UBM Tech databases. The survey was fielded from November 2013 to February 2014.
The information within this report is based on responses from 649 insurance IT professionals. We excluded unemployed and part-time workers from these results, as well as respondents from outside the US. This report uses median rather than mean or average figures for salary and percentage salary changes to eliminate distortions caused by extremes at the high and low ends of the responses.