Skills of Ideal Candidate: 1. Advanced knowledge of one or more differing statistical programming ... in Robotic Process Automation tools such as UI Path and Artificial Intelligence tools like Data ...
Skills of Ideal Candidate: 1. Advanced knowledge of one or more differing statistical programming ... in Robotic Process Automation tools such as UI Path and Artificial Intelligence tools like Data ...
Data Analyst III/II/I
Oklahoma City, OK · On-site
Skills of Ideal Candidate: 1. Advanced knowledge of one or more differing statistical programming ... in Robotic Process Automation tools such as UI Path and Artificial Intelligence tools like Data ...
Data Analyst III/II/I
Oklahoma City, OK · On-site
Skills of Ideal Candidate: 1. Advanced knowledge of one or more differing statistical programming ... in Robotic Process Automation tools such as UI Path and Artificial Intelligence tools like Data ...
Entry Level Robotics Engineer information
See Harrah, OK salary details
$28K - $40.3K
1% of jobs
$40.3K - $52.6K
1% of jobs
$52.6K - $64.9K
4% of jobs
$64.9K - $77.1K
12% of jobs
$81K is the 25th percentile. Wages below this are outliers.
$77.1K - $89.4K
22% of jobs
The median wage is $94.7K / yr.
$89.4K - $101.7K
24% of jobs
$101.7K - $114K
11% of jobs
$115.3K is the 75th percentile. Wages above this are outliers.
$114K - $126.3K
8% of jobs
$126.3K - $138.6K
9% of jobs
$138.6K - $150.9K
5% of jobs
$150.9K - $163.1K
4% of jobs
$28K
$101.9K
$163.1K
How much do entry level robotics engineer jobs pay per year?
What are the key skills and qualifications needed to thrive as an Entry Level Robotics Engineer, and why are they important?
What types of projects and technologies do entry level robotics engineers typically work on?
What is the difference between Entry Level Robotics Engineer vs Robotics Technician?
| Aspect | Entry Level Robotics Engineer | Robotics Technician |
|---|---|---|
| Required Credentials | Bachelor's degree in robotics, mechanical, electrical engineering or related field | Associate's degree or technical certification in robotics or automation |
| Work Environment | Design, develop, and test robotic systems; often in labs or engineering settings | Maintain, troubleshoot, and repair robotic systems; typically in manufacturing or industrial settings |
| Employer & Industry Usage | Engineering firms, tech companies, research labs | Manufacturing plants, automation companies, industrial facilities |
Entry Level Robotics Engineers focus on designing and developing robotic systems, requiring a bachelor's degree, while Robotics Technicians primarily handle maintenance and repairs, often with technical certifications. Both roles are essential in automation industries but differ in responsibilities and educational requirements.
What Does an Entry-Level Robotics Engineer Do?
An entry-level robotics engineer works with flexible automation, helping design, build, and test robot systems. The responsibilities of an entry-level robotics engineer are to integrate peripherals, such as controllers, welders, and other equipment; create event timing charts or system device lists; design end-of-arm tooling; investigate unexpected maintenance problems, such as mechanical or electrical failures; and evaluate and analyze robotic prototypes or systems. Other duties include researching robotic technology to use for the creation of new systems and system configuration.
What does an entry level robotics engineer do?

Full-time
Posted 11 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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