Big Data. Big Decisions
InformationWeek
Special Coverage Series


IT Salaries 2012: $90,000, 1% Raise Typical

InformationWeek's 2012 U.S. IT Salary Survey shows IT pros doing OK in a slow-growing economy, with staffers typically making $90,000 and managers $116,000. Most wanted: People who blend business analysis and IT skills.

U.S. IT salaries are doing just OK. IT remains a well-paying field, with median total compensation of $90,000 for staffers and $116,000 for managers. Staffers report a median raise in total compensation of 1%, while managers report a 1.8% raise, according to our 2012 U.S. IT Salary Survey of 13,880 IT professionals. As recently as 2010, the median raise was zero.

As always, there's a wide range of salaries depending on skills and industries. Total median compensation for staffers ranges from $105,000 for those with ERP skills to $55,000 for those on the help desk. A few niche job functions, such as wireless infrastructure ($115,000) and cloud computing ($110,000), reach even higher, but the sample size for those specialties is quite small.

More Insights

Webcasts

More >>

White Papers

More >>

Reports

More >>

But pay's on the rise across job functions. People who perform 11 of 23 staff job functions report median total compensation above $100,000. Last year, just three staff functions broke the six-figure barrier--ERP, enterprise app integration, and data integration and warehousing. With managers, all but two functions, training and help desk, top $100,000 this year.

One skill in very high demand is business analytics. Think of people with these skills as those who can marry business wits and industry savvy with technical understanding, and ideally some statistical chops. While that business-tech blend has always been sought after, demand is rising as companies try to make sense of their mountains of data and as IT becomes ever more embedded in business operations.

Drew Duncan, a lead business intelligence analyst with Brown-Forman, which makes Jack Daniel's, Southern Comfort, and other alcoholic beverages, sees more opportunity in IT analytics than he can grab. Duncan's from the old school of analytics, with 15 years of experience using BI platforms such as BusinessObjects to pull data out of SAP and other systems to create dashboards that let execs see what's selling and shipping, and to dig into those results. Old school's usually not a complement in the tech world, but the demand for conventional BI skills keeps rising.

At the same time, Duncan watches with envy the rise of a new school of analytics centered on emerging technologies such as Hadoop, focused on gleaning meaning from the growing mass of unstructured data such as Web traffic and social network comments. He'd love to immerse himself in this hot area, but Brown-Forman's keeping him plenty busy with conventional BI. It's an energizing problem for a 52-year-old IT pro to have. "I'm not in park," Duncan says. "I'm in high gear."

Median total pay for business analytics managers has climbed 11% since 2010, and 8% for staffers. Companies are drowning in data and looking for business-savvy technologists to help them make sense of it. Among our 23 IT job categories, BI managers rank fourth in total compensation, earning $135,000. BI staffers are more middle of the pack, tied for 13th (with telephony and unified communications staff), earning $95,000. That middle-of-the-pack rating reflects the range of people in this role--from those generating flat reports to those in higher-end roles using BI to do analysis. Data integration and data warehousing managers rank sixth in total compensation, at $131,000, while staffers are eighth, at $101,000.

Our full 2012 IT Salary Survey report is free with registration.

You'll get data to better understand:
  • Salaries in 13 different metro areas and 29 industry segments
  • Job satisfaction for IT managers and staffers
  • What would most likely cause an IT pro to look for a new job
Get This And All Our Reports
 1 | 234  | Next Page »


Related Reading




Currently we allow the following HTML tags in comments:

Single tags

These tags can be used alone and don't need an ending tag.

<br> Defines a single line break

<hr> Defines a horizontal line

Matching tags

These require an ending tag - e.g. <i>italic text</i>

<a> Defines an anchor

<b> Defines bold text

<big> Defines big text

<blockquote> Defines a long quotation

<caption> Defines a table caption

<cite> Defines a citation

<code> Defines computer code text

<em> Defines emphasized text

<fieldset> Defines a border around elements in a form

<h1> This is heading 1

<h2> This is heading 2

<h3> This is heading 3

<h4> This is heading 4

<h5> This is heading 5

<h6> This is heading 6

<i> Defines italic text

<p> Defines a paragraph

<pre> Defines preformatted text

<q> Defines a short quotation

<samp> Defines sample computer code text

<small> Defines small text

<span> Defines a section in a document

<s> Defines strikethrough text

<strike> Defines strikethrough text

<strong> Defines strong text

<sub> Defines subscripted text

<sup> Defines superscripted text

<u> Defines underlined text

BYTE encourages readers to engage in spirited, healthy debate, including taking us to task. However, BYTE moderates all comments posted to our site, and reserves the right to modify or remove any content that it determines to be derogatory, offensive, inflammatory, vulgar, irrelevant/off-topic, racist or obvious marketing/SPAM. BYTE further reserves the right to disable the profile of any commenter participating in said activities.

Disqus Tips To upload an avatar photo, first complete your Disqus profile. | View the list of supported HTML tags you can use to style comments. | Please read our commenting policy.

Follow InformationWeek

By The Numbers

What Are Your Primary Concerns About Using Big Data Software?

Base: 417 respondents at organizations using or planning to deploy data analytics, BI or statistical analysis software
Data: InformationWeek 2013 Analytics, Business Intelligence and Information Management Survey of 541 business technology professionals, October 2012

What Do You Think?

What's your attitude about SQL analysis on top of Hadoop?
We want fast, standard SQL analysis capabilities on Hadoop ASAP
Hadoop is for unstructured data; SQL is for relational databases
We'll give SQL on Hadoop a try, but relational DBs will remain the mainstay
Given strong SQL support on Hadoop, we'd nix the data warehouse
We're not interested in Hadoop
No opinion



Related Content

From Our Sponsor

Five Big Data Challenges and How to Overcome Them with Visual Analytics

Five Big Data Challenges and How to Overcome Them with Visual Analytics

Business leaders often need a visual snapshot of data to quickly grasp and use it. This paper identifies five challenges in presenting data and how visual analytics can resolve them. Solutions are suggested to overcome the challenges of: speed, data clarity, data quality, displaying meaningful results, and dealing with outliers.

Game-Changing Analytics: How IT Executives Can Use Analytics to Create Innovation and Business Success

Game-Changing Analytics: How IT Executives Can Use Analytics to Create Innovation and Business Success

Today's competitive advantage requires a deeper understanding of your business, your market and your customers. As an IT executive, you can drive that knowledge transformation. In this white paper, learn how to make decisions as a strategic business leader and three steps to begin an analytics initiative within your enterprise.

Data Visualization Techniques: From Basics to Big Data with SAS Visual Analytics

Data Visualization Techniques: From Basics to Big Data with SAS Visual Analytics

High-performance data visualization turns sophisticated analyses into meaningful graphics, leading to faster and smarter decision making. In this white paper, learn how visual analytics can transform big data, with additional features such as real-time functionality, mobile compatibility, robust applications for technical groups and accessibility for nontechnical users.

Big Data: Lessons from the Leaders

Big Data: Lessons from the Leaders

Financial performance, competitive advantage, operational efficiency, strategic decision making - every business goal can extract value from big data, and the time for doubt or inaction has long passed. In this Economist Intelligence Unit report, in-depth interviews with data pioneers reveal the link between the effective use of big data and the bottom line among other results.

Decision-Driven Data Management: A Strategy for Better Decisions with Better Data

Decision-Driven Data Management: A Strategy for Better Decisions with Better Data

Which came first, the data or the decision? This white paper makes the case for having a decision in mind, then tailoring big data's volume, variety and velocity to achieve business results such as overcoming customer dissatisfaction or creating well-informed strategies in real time.

Informationweek Reports

Research: The Big Data Management Challenge

Research: The Big Data Management Challenge

The challenge of big data is real, but most organizations don't differentiate 'big data' from traditional data, and nearly 90% of respondents to our survey use conventional databases as the primary means of handling data. We'll help you understand what constitutes big data (it's not just size) and the numerous management challenges it poses.