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Entry Level Sql Jobs in Oklahoma (NOW HIRING)

Americanfidelity

Data Scientist

Oklahoma City, OK · Hybrid

Expert in database languages (e.g., SQL). * Experience creating meaningful data visualizations and ... entry level Colleagues to management to senior executives. This includes the ability to speak ...

American Fidelity

Data Scientist

Oklahoma City, OK · On-site

Expert in database languages (e.g., SQL). * Experience creating meaningful data visualizations and ... entry level Colleagues to management to senior executives. This includes the ability to speak ...

Moore Public Schools

Information Analyst

Moore, OK · On-site

$16.25/hr

... data entry; Level B duties may include but not be limited to complete knowledge of student ... state reporting, SQL reporting knowledge and appropriate certifications stating appropriate ...

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Entry Level Sql information

See Oklahoma salary details

$19

$48

$67

How much do entry level sql jobs pay per hour?

As of Sep 6, 2026, the average hourly pay for entry level sql in Oklahoma is $48.57, according to ZipRecruiter salary data. Most workers in this role earn between $40.19 and $55.05 per hour, depending on experience, location, and employer.

What are entry level SQL jobs?

As an entry-level SQL developer, your job is to use a structured query language to develop, test, and implement software for a company. Entry-level developers often help troubleshoot problems, provide support for senior developers, communicate with clients to understand their needs, and examine the existing code to look for ways of improving it. Many employers use this role as a type of extended training period, and you may work directly under the supervision of a more experienced developer. In some industries, such as healthcare, you may need to learn about and use uncommon file formats and systems to ensure compliance with federal privacy regulations.

What are the key skills and qualifications needed to thrive as an entry level SQL professional, and why are they important?

To thrive as an Entry Level SQL professional, you need a solid understanding of database concepts, SQL query writing, and data manipulation, typically supported by a relevant degree or coursework in computer science or information systems. Familiarity with relational database management systems (RDBMS) like MySQL, SQL Server, or Oracle, and basic knowledge of data visualization tools, is commonly expected. Attention to detail, analytical thinking, and effective communication are essential soft skills for interpreting data requirements and collaborating with team members. These skills ensure accurate data handling, efficient problem-solving, and smooth integration within technical teams.

What are some common challenges faced by entry level SQL professionals, and how can they overcome them?

Entry-level SQL professionals often encounter challenges such as optimizing slow-running queries, understanding complex database schemas, and adapting to different database management systems. To overcome these, it's helpful to practice writing and refining queries, seek mentorship from experienced colleagues, and utilize available documentation and online forums. Collaborating with team members and participating in code reviews can also accelerate learning and help address real-world data problems effectively.

What is the difference between Entry Level Sql vs Data Analyst?

AspectEntry Level SqlData Analyst
Required CredentialsBasic SQL knowledge, certifications like SQL FundamentalsSQL skills, plus data visualization and statistical knowledge
Work EnvironmentData management, database querying, often in IT or database teamsData interpretation, reporting, cross-department collaboration
Employer & Industry UsageTech companies, finance, healthcare, retailBusiness, marketing, finance, healthcare sectors

Entry Level Sql focuses on querying and managing databases using SQL, often as a foundational skill. Data Analysts build on SQL knowledge to interpret data, create reports, and support decision-making. While both roles require SQL skills, Data Analysts typically have additional skills in data visualization and statistical analysis, making their roles broader in data interpretation and business insights.

More about Entry Level Sql jobs

What are the most commonly searched types of Sql jobs in Oklahoma?

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For Entry Level Sql jobs in Oklahoma, the most frequently searched job titles are:

What job categories do people searching Entry Level Sql jobs in Oklahoma look for?

The top searched job categories for Entry Level Sql jobs in Oklahoma are:

What cities in Oklahoma are hiring for Entry Level Sql jobs?

Cities in Oklahoma with the most Entry Level Sql job openings:

Entry Level Sql jobs near you
Infographic showing various Entry Level Sql job openings in Oklahoma as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $101,019 per year, or $48.6 per hour.

Data Analyst III/II/I

Americanfidelity

Oklahoma City, OK • On-site

Full-time

Re-posted 20 days ago

Job description

* Plan, implement and execute data mining and predictive modeling related projects to which they are assigned to deliver intended business value propositions, on time and within scope according to agreed upon priorities. The Data Analyst is accountable for working collaboratively with Data Navigators and for the successful delivery of all projects under their supervision.

* Assist the Research & Development team, Executive Management, and AFA through the production and maintenance of data and metrics regarding demographics, market trends, behavioral economics, and socioeconomic shifts.

* Drive business value through actionable insight and opportunity identification as facilitated through comprehensive exploratory, interactive, adaptive, and iterative data mining, machine learning, data science, clustering, artificial intelligence (AI), and predictive modeling related analysis which have generally high complexity and/or business risk.

Skills of Ideal Candidate:

1. Advanced knowledge of one or more differing statistical programming languages such as SAS, R or Stata.

2. Ability to develop structure and/or program databases specifically within an MS SQL environment, skilled in the utilization of Structured Query Language (SQL) for interacting with data sets. Understanding of data structures and ability to become proficient in mining data structures and lineage in support of data foot printing and inventory techniques.

3. Skilled in Robotic Process Automation tools such as UI Path and Artificial Intelligence tools like Data Robot

4. Skilled in MS Office Suite including MS Access, Excel, PowerPoint, Word and MS SharePoint.

5. Familiarity with the following disciplines

Natural Language Processing: Interaction between computers and humans

Machine Learning: using computers to improve as well as develop algorithms

Conceptual modeling: to be able to share and articulate conceptual approaches to solving business questions/problems

Statistical analysis and Predictive modeling

Hypothesis testing: design hypothesis, document control and test with appropriate modeling and experimentation

6. Ability to query databases and datasets and perform statistical analysis on enterprise-class database systems.

7. Exceptional presentation skills.

8. Being able to work in a fast-paced multidisciplinary environment as in a competitive landscape new data keeps flowing in rapidly and the world is constantly changing.

9. Strong negotiation skills.

10.Strong communication skills, including written, verbal and listening which can be deployed successfully when addressing entry level Colleagues to management to senior executives. This includes the ability to speak confidently in both business and technological surroundings and appropriately transliterate between the two.

11. Exceptional analytical thinking and problem solving skills.

12. Exceptional understanding of business and business strategy.

13.Strongplanning skills.

14. Exceptional organizational skill and ability to work autonomously.

15. Experience using data visualization tools such as QlikSense or Tableau

16. Innovative curiosity

17.Strongknowledge of Data Science

18.Ability to deal with ambiguity

Education Requirements:

Data Analyst III: Actuarial Designationscan substitute for PhD.AFA specific data experience will be considered in lieu of PhD oncase by casebasis

Data Analyst I/II: High school diploma or equivalent

#AFC

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