You Posted for a Data Scientist. You Needed a Data Analyst.

The title is your first filter

Candidates search by title and decide in seconds whether a job is for them. A title tells them what the work is, what it should pay and whether it fits where they want their career to go. If the title is wrong, the right people scroll past and the wrong people apply.

Data jobs are where this happens most. The names sound alike and change fast. Data scientist, data analyst, business intelligence analyst, data engineer, database administrator and data architect are different jobs with different skills. Picking the one that sounds most impressive is one of the easiest ways to slow a search down.

What the evidence says

The Bureau of Labor Statistics describes data scientists as people who use analytical tools to find meaning in data. Their duties include building, validating and testing algorithms and models, and many use machine learning. BLS says they typically need at least a bachelor's degree in math, statistics or computer science, and some employers want a master's or doctorate. The national median pay for data scientists was $120,230 in May 2025.

O*NET, the federal job database, lists business intelligence analysts as their own occupation. Their tasks include producing standard and custom reports, maintaining business intelligence tools and dashboards and turning data into answers for managers. O*NET also shows something important for pay research. The wage data it shows for business intelligence analysts is the wage data for data scientists, because federal wage surveys count both in the same code.

That shapes the Oklahoma numbers too. The Oklahoma Employment Security Commission's 2025 wage report, built on May 2025 estimates, counts about 1,900 data scientists in Oklahoma with a mean annual wage of $94,950. The same report shows database administrators at $96,840 and database architects at $127,250. Those are real differences. A pay range copied from one title can be far off for another.

Why the wrong title costs you

You attract people who want a different job

Someone who studied machine learning applies to a data scientist role expecting to build models. If the job is mostly Power BI dashboards and SQL reports, they either drop out during interviews or accept and leave once they see the work. Either way the seat stays open longer.

The right people never see it

A strong analyst who has built reports for years may skip a posting called data scientist because they assume they are not qualified. A seasoned DBA may never search for data engineer. The people who would do the job well are filtered out before they read a word.

Your pay range points the wrong way

Salary research starts with a title. Use the wrong one and the range can come in too high, which strains the budget, or too low, which loses offers. Both problems trace back to the same choice.

How to choose the right title

1. 1Write down what this person will do in their first ninety days, in plain words.
2. 2Mark how much of that time goes to reports and dashboards, pipelines and data loads, database care or building models.
3. 3If reports and answers for managers fill most of the week, look at data analyst or business intelligence analyst.
4. 4If moving and cleaning data between systems fills most of the week, look at data engineer.
5. 5If keeping databases fast, safe and backed up fills most of the week, look at database administrator.
6. 6Use data scientist only when building and testing models is the main job.
7. 7Research pay with the title you chose and check it against Oklahoma data, not only national numbers.
8. 8Have someone who does this work today read the posting and tell you if it sounds like their job.

Sometimes the honest answer is that the role is two jobs. A company may need both clean reports and a reliable nightly load. That is fine to say in the posting. Name the main job in the title and list the second part in the description so candidates know what they are signing up for.

What this means for Oklahoma employers

Oklahoma's data talent pool is real but not huge, so every candidate counts. A title that matches the work brings in people who want that work, makes the interviews shorter and gives your pay range a fair starting point. A title that does not can cost weeks and still end with the wrong hire.

At Oklahoma Data Partners, we help Oklahoma employers define data roles, match the title and pay to the work and find people who fit. If you are not sure what to call the job you need filled, book a consultation.