ZipRecruiter

Log In

1

Data Engineer Data Analyst Jobs in Edmond, OK (NOW HIRING)

Canoo

Canoo Data Platform - Data Engineer

Oklahoma City, OK · On-site

$98K - $118K/yr

Job Title Canoo Data Platform - Data Engineer About Canoo Canoo's mission is to bring EVs to Everyone and build a world-class team to deploy this sustainable mobility revolution. We have developed ...

Boeing

Senior AWS Software Data Engineer

Oklahoma City, OK

$113K - $150K/yr

Senior AWS Software Data Engineer Company: The Boeing Company The Boeing Company is looking for a ... Our Digital Analytics and System Health (DASH) software team develops and maintains many off-board ...

Boeing

Senior AWS Software Data Engineer

Oklahoma City, OK

$113K - $150K/yr

Senior AWS Software Data Engineer Company: The Boeing Company The Boeing Company is looking for a ... Our Digital Analytics and System Health (DASH) software team develops and maintains many off-board ...

MidFirst Bank

Data Steward Manager

Oklahoma City, OK · On-site

Leadership of Data Stewards and Data Quality Analysts * Lead, mentor, and develop a centrally ... Partner with the Data Governance Office, Data Product Managers, DBAs, data engineers, and BI ...

Moore Public Schools

Data Processing Analyst

Moore, OK · On-site

... Data Processing Analyst - Technology for the 2026-2027 school year 2.17 Application Procedure This position closes at 4:00 p.m., Tuesday, August 11, 2026 , but will remain open until the position is ...

MidFirst Bank

Data Steward Manager

Oklahoma City, OK · On-site

... Analysts. Responsibilities : • Lead, mentor, and develop a centrally federated team of Data ... developers to ensure technical solutions conform to business data standards and stewardship ...

previous page

Showing results 41-60

All JobsData Engineer Data Analyst JobsData Engineer Data Analyst Jobs in Edmond, OK

Data Engineer Data Analyst information

See Edmond, OK salary details

$30.7K

$74.7K

$122.9K

How much do data engineer data analyst jobs pay per year?

As of Aug 11, 2026, the average yearly pay for data engineer data analyst in Edmond, OK is $74,666.00, according to ZipRecruiter salary data. Most workers in this role earn between $56,500.00 and $87,600.00 per year, depending on experience, location, and employer.

How do data engineer data analysts typically collaborate with data scientists and business stakeholders?

Data Engineer Data Analysts play a crucial role in bridging the technical and analytical needs of an organization. They work closely with data scientists by preparing, cleaning, and structuring large datasets to enable advanced analytics and modeling. Additionally, they collaborate with business stakeholders to understand data requirements, translate business questions into technical solutions, and deliver actionable insights. Effective communication and teamwork are essential, as the role often involves facilitating data access, ensuring data quality, and aligning data projects with business objectives.

What are the key skills and qualifications needed to thrive as a data engineer data analyst, and why are they important?

To thrive as a Data Engineer/Data Analyst, you need strong analytical and statistical skills, proficiency in programming languages like Python or SQL, and typically a degree in computer science, statistics, or a related field. Familiarity with data warehousing tools, ETL processes, and experience with platforms like Hadoop, Spark, or Tableau is often required. Attention to detail, problem-solving ability, and effective communication are crucial soft skills for interpreting data and sharing insights with stakeholders. These competencies ensure accurate data management, insightful analysis, and support data-driven decision-making within organizations.

What is the difference between Data Engineer Data Analyst vs Data Scientist?

AspectData EngineerData Scientist
Required CredentialsBachelor's in CS, Engineering, or related; often certifications in cloud or data toolsBachelor's or higher in CS, Statistics, or related; often advanced degrees
Work EnvironmentBuilds data pipelines, manages databases, ensures data flowAnalyzes data, creates models, interprets insights
Employer & Industry UsageTech companies, finance, healthcare, e-commerceResearch firms, tech, finance, marketing

Data Engineers focus on developing and maintaining data infrastructure, while Data Scientists analyze data to generate insights. Both roles require strong technical skills, but Data Engineers are more involved in data architecture, whereas Data Scientists focus on modeling and analysis.

What job categories do people searching Data Engineer Data Analyst jobs in Edmond, OK look for? The top searched job categories for Data Engineer Data Analyst jobs in Edmond, OK are:
Data Engineer Data Analyst jobs near you
Infographic showing various Data Engineer Data Analyst job openings in Edmond, OK as of August 2026, with employment types broken down into 77% Full Time, and 23% Contract. Highlights an 81% In-person, 7% Hybrid, and 12% Remote job distribution, with an average salary of $74,666 per year, or $35.9 per hour.

Data Analyst III/II/I

Americanfidelity

Oklahoma City, OK

Full-time

Re-posted 24 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

Apply