Tag Archives: qualitative research

NPtech Labor Market Alert: The Big Job Title of 2015 Will Be “Data Analyst”

 

Disclaimer: This illustration is for entertainment purposes only. I am not a professional data analyst.

Disclaimer: This illustration is for entertainment purposes only. I am not a professional data analyst.

 

My training, such as it is, is heavily skewed toward qualitative methods; at the same time, I have a lot of respect for quantitative analysis.  However, my favorite form of research consists of staring off into space and letting ideas float into my head.  Sometimes I validate my findings by engaging in conversations in which I talk louder and louder until everyone agrees that I’m right.  It seems to work.

Lately, I’ve had a little time to stare off into space and let ideas float into my head; by this, I mean that I traveled to Austin, Texas for the Nonprofit Technology Conference (also known as #15ntc) and had some down time on the plane.  By the time I arrived in Austin, I had become convinced that “Data Analyst” would be this year’s standout job title in the field of nptech.  At the conference, I was able to confirm this – by which I mean that I didn’t meet anyone there who talks more loudly than I do.

What are the take-ways?  It depends on who you are:

  • For data analysts who are now working in the field of nonprofit technology:  prepare to be appreciated.
  • For data analysts now working in other sectors: think about whether this is a good moment to make a career shift in which you use your geek powers for good. But make sure you know what you’re getting into.
  • For nonprofit executives: don’t kid yourselves. Brilliant data analysts who want to work in the nonprofit sector aren’t going to be attracted by job announcements that indicate that the successful candidate will also be responsible for network administration, hands-on tech support, social media, and web development.
  • For workforce development professionals:  this is your cue. It’s time to put together a program for training computer science graduates to be nonprofit data geeks.
  • For donors, grantmakers, and other funders:  if you want reports from nonprofits are based on reliable and valid methods of analysis, then you will need to underwrite data analysts at nonprofits.  That means money for training, for salaries, and for appropriate technology.

If you don’t agree with my findings, please take a moment to share yours in the comments section.

Outcomes measurement for nonprofits: Who does the analysis?

I invite you to participate in this survey, bearing in mind that it is for recreational purposes, and has no scientific value:

There are many reasons that this survey is of dubious value, for example:

  • No pilot testing has been done to ensure that the choices offered are both exhaustive and mutually exclusive.

The list could go on, but I’ll leave it at that.  Although most of my training is in qualitative social research, I have taken undergraduate and graduate level courses on quantitative research, and the points I made about what’s wrong with my survey are what I could pull out of memory without consulting a standard text on statistics.

In other words, when it comes to quantitative analysis, I know just enough to be dangerous.

Meanwhile, I worry about nonprofit organizations that are under pressure to collect, analyze, and report data on the outcomes of their programs.  There are a lot of fantastic executive directors, program managers, and database administrators out there – but it’s very rare for a nonprofit professional who falls into any of those three categories to also have solid skills in quantitative analysis and social research methods.  Nevertheless, I know of plenty of nonprofit organizations where programmatic outcomes measurement is done by an executive director, program manager, or database administrator whose skill set is very different from what the task demands.  In many cases, even if they come up with a report, the nonprofit staff members may not even be aware that what have done is presented a lot of data, without actually showing that there is any causal relationship between the organization’s activities and the social good that they are in business to deliver.

Let’s not be too hasty in deprecating the efforts of these nonprofit professionals.  They are under a lot of pressure, especially from grantmaking foundations, to report on programmatic outcomes.  In many cases, they do the best they can to respond, even if they have neither the internal capacity to meet the task nor the money to hire a professional evaluator.

By the way, I was delighted to attend gathering this fall, in which I heard a highly-regarded philanthropic professional ask a room full of foundation officers, “are you requiring $50,000 worth of outcomes measurement for a $10,000 grant?” It’s not the only question we need to ask, but it’s an extremely cogent one!

I’d love to see nonprofit professionals, philanthropists, and experts in quantitative analysis work together to address this challenge.

We should also be learning lessons from the online tools that have already been developed to match skilled individuals with nonprofit professionals who need help and advice from experts.  Examples of such tools include the “Research Matchmaker,” and NPO Connect.

We can do better.  It’s going to take time, effort, money, creativity, and collaboration – but we can do better.

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