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Entry Level Rpa Developer Jobs in Oklahoma (NOW HIRING)

... processes. * Collaborate with engineering and support teams to improve CAD tools and automation ... Excellent communication skills and ability to work collaboratively. * Entry-level candidates with ...

Position Description The Process Controls Engineer will help drive continuous improvement projects ... Leads automation infrastructure upgrades and develops disaster recovery strategies to enhance ...

Engineer process solutions and reliability improvement from concept to network implementation ... Experience with robotic maintenance. * In-depth knowledge of Microsoft Office products. Examples ...

We are seeking a CNV Project Automation Engineer to join our Chief Technology Officer organization ... Analyze production data to identify opportunities for process improvement * Ensure compliance with ...

Automation Technician

Peoria, OK · On-site

$32K/yr

Diagnose and resolve software and hardware malfunctions related to robotic controllers and plasma ... A solid grasp of various welding processes is a significant plus. Physical & Professional Demands

Support Automation Application Engineers with basic application tasks, product selection assistance ... sales processes. * Operational & Market Awareness: Assist with market research, competitive ...

Support Automation Application Engineers with basic application tasks, product selection assistance ... processes. * Cross-Functional Coordination: Coordinate with internal teams, vendors, and partners ...

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Entry Level Rpa Developer information

See Oklahoma salary details

$27.2K

$92.6K

$223K

How much do entry level rpa developer jobs pay per year?

As of Jun 26, 2026, the average yearly pay for entry level rpa developer in Oklahoma is $92,579.00, according to ZipRecruiter salary data. Most workers in this role earn between $58,600.00 and $97,900.00 per year, depending on experience, location, and employer.

What is an Entry Level RPA Developer job?

An Entry Level RPA Developer is responsible for designing, developing, and implementing robotic process automation (RPA) solutions using tools like UiPath, Automation Anywhere, or Blue Prism. They work with business analysts and stakeholders to understand processes and automate repetitive tasks, improving efficiency and accuracy. Typically, they write scripts, test automation workflows, and troubleshoot issues. This role requires basic programming knowledge, logical thinking, and familiarity with RPA tools. It is an excellent starting point for those looking to build a career in automation and process optimization.

What are the key skills and qualifications needed to thrive in the Entry Level Rpa Developer position, and why are they important?

To thrive as an Entry Level RPA Developer, you need foundational programming skills (such as Python, .NET, or Java), logical thinking, and a bachelor's degree in computer science or a related field. Familiarity with RPA platforms like UiPath, Automation Anywhere, or Blue Prism, and optional certifications in these tools, are often required. Strong problem-solving abilities, keen attention to detail, and effective communication skills help you excel in collaborating with teams and understanding business processes. These competencies are essential for developing efficient automation solutions and ensuring smooth project delivery in a technology-driven workplace.

What are the typical projects and responsibilities for an Entry Level RPA Developer?

As an Entry Level RPA Developer, you’ll usually work on automating routine business processes using RPA tools under the guidance of senior developers or process analysts. Your daily tasks might include designing, developing, testing, and deploying RPA bots, troubleshooting workflow issues, and documenting solutions. You’ll often collaborate with business stakeholders to understand their processes and ensure the automation meets their needs. This hands-on experience helps you build technical expertise and positions you for advancement to more complex projects and leadership roles over time.

What are the most commonly searched types of Rpa Developer jobs in Oklahoma? The most popular types of Rpa Developer jobs in Oklahoma are:
What are popular job titles related to Entry Level Rpa Developer jobs in Oklahoma? For Entry Level Rpa Developer jobs in Oklahoma, the most frequently searched job titles are:
What job categories do people searching Entry Level Rpa Developer jobs in Oklahoma look for? The top searched job categories for Entry Level Rpa Developer jobs in Oklahoma are:
What cities in Oklahoma are hiring for Entry Level Rpa Developer jobs? Cities in Oklahoma with the most Entry Level Rpa Developer job openings:
Infographic showing various Entry Level Rpa Developer job openings in Oklahoma as of June 2026, with employment types broken down into 43% Internship, and 57% Full Time. Highlights an 50% In-person, and 50% Hybrid job distribution, with an average salary of $92,579 per year, or $44.5 per hour.

Data Analyst III/II/I

Americanfidelity

Oklahoma City, OK • On-site

Full-time

Posted 9 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

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