Ask Your Data Team Why They Stay Before They Leave

The resignation nobody saw coming

Your best analyst asks for a few minutes on a Friday afternoon. She has accepted another offer. You had no idea she was looking. When you ask what happened, she says nobody ever asked her what she wanted.

Most managers hear the real reasons only in the exit interview. By then the decision is made. A stay interview asks the same questions while there is still time to act.

What the evidence says

Gallup studied workers who left their jobs by choice. In its 2019 report, 52 percent said their manager or organization could have done something to keep them. Fifty one percent said no manager or leader had talked with them about how satisfied they were or about their future in the three months before they left.

Gallup also estimated that replacing an employee can cost one half to two times that person's yearly salary.

People do not stay long by default. The Bureau of Labor Statistics reported that median job tenure for wage and salary workers was 4.1 years in January 2026. For workers ages 25 to 34, a common age for analysts and engineers early in their careers, the median was 3.0 years. About one in five workers, 20.6 percent, had been with their employer for a year or less.

Oklahoma workers do quit. Bureau of Labor Statistics estimates show about 40,000 quits in Oklahoma in December 2025, a quit rate of 2.2 percent. The national rate that month was 2.0 percent.

Why data people leave without saying a word

No one asks

Many managers talk with data staff only about tickets, deadlines and broken reports. Those talks matter. But they never get to whether the person likes the work or sees a future.

The work stops growing

Data people often want to learn new tools and take on harder problems. If they spend every week fixing the same report, they start to look elsewhere.

Pay drifts below the market

A salary that was fair at hiring may not be fair two years later. If no one checks, the first sign is often an outside offer.

Small problems pile up

Slow laptops, unclear priorities and too many meetings rarely cause a resignation on their own. Together they wear people down, and nobody hears about it.

How to run stay interviews with your data team

1. 1Meet one on one with each person on your data team at least twice a year.
2. 2Tell them ahead of time that the meeting is about them, not their projects.
3. 3Ask open questions and listen more than you talk.
4. 4Write down what you hear and pick one or two things you can change.
5. 5Tell the person what you will do and by when.
6. 6Follow up in a few weeks, even if the answer is that something will take longer.
7. 7Check pay for each data role against the local market every year.
8. 8Keep the conversation going between stay interviews, so it is not the only time you ask.

A stay interview is not a performance review. Keep the two apart. People speak more openly when they know their rating is not on the table.

What this means if you hire data people in Oklahoma

Every data person who leaves takes knowledge of your systems with them. Then you face a search, an offer and months while the new hire learns your data. Gallup's cost estimate shows why keeping a good analyst or engineer matters.

Gallup's numbers also suggest many of those departures can be prevented. The first step is simple. Ask the people you want to keep what would make them stay, then do something with the answer.

At Oklahoma Data Partners, we recruit only for data roles and only in Oklahoma. We help employers fill data roles and build teams that people want to stay on. If you want help keeping or growing your data team, book a consultation.