We have lots of data at A Small Orange that’s ready to be analyzed and made sense of. We also have a lot of things that we’re interested in collecting and compiling data on. Our belief is that good data will help us learn more about our customers, our company, and our employees and help us make better decisions. Our Data Analysis Intern will help us collect, analyze, and present a lot of this data. They’ll support the analytical needs of a growing web hosting company with a diverse set of systems and data sources and then put it all together with great analysis and cool visuals.

Internships will begin in May 2012, and carry on through August 2012 (our time frames are flexible according to individual schedules).

You can read more about A Small Orange's internship program (including information on the application process, compensation, and so on) by reading over this document.

Things you can expect to accomplish:

• Analysis of customer data, including churn, lifetime value, averages and medians for a variety of data points, trends, and more.
• Analysis of support data, including response and resolution time, customer satisfaction, employee productivity, issue frequency, and more.
• Analysis of company data, including employee information, server information, and more.
• Analysis of usage data for our website, control panels, forums, and more.
• Presenting information to management and other employees through words and visuals.
• Creation (or assistance with creation of) dashboards and other online sources to make data available to the entire team.

What your background should be:

• Working towards a Bachelor’s degree in Business, Economics, Statistics, Math, or a technical major like Computer Science or Engineering. MBA or other graduate school candidates are also welcome.
• Excited about working in a relatively small company on something that has not been done before.
• Driven, self-motivated, and extremely pro-active. We love people who ask “what’s next?”
• Excellent communication skills and ability to work with people who are both highly technical and not so technical.

What you need to know:

• Advanced analytical and statistical skills, including experience with Microsoft Excel.
• Experience with statistical software such SAS, SPSS, Stata, or R.
• Ideally, experience working with MySQL.
• Comfortable working with large and complex data sets that might include large numbers of extraneous variables and data points.
• Experience making sense of a variety of data sets and making sense of a mix of qualitative and quantitative data.