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Senior Python Data Analyst Jobs in Magnolia, AR (NOW HIRING)

Murphy USA

Data Engineer I

El Dorado, AR

$101K - $122K/yr

Python, SQL, PySpark) Experience in the use of Infrastructure as Code tools (Databricks Asset ... analytics, software development, database administration, or a related technical field.

Murphy Oil USA

Data Engineer I

El Dorado, AR · On-site

$101K - $122K/yr

Python, SQL, PySpark) Experience in the use of Infrastructure as Code tools (Databricks Asset ... analytics, software development, database administration, or a related technical field.

Murphy Oil USA

Enterprise Analyst (I-Sr.)

El Dorado, AR · On-site

Skills also typically include understanding application of analytical tools and techniques, proficiency in creating reports/maps, SQL, RStudio, Python, building models, data extraction and scrubbing ...

Murphy USA

Enterprise Analyst (I-Sr.)

El Dorado, AR

Skills also typically include understanding application of analytical tools and techniques, proficiency in creating reports/maps, SQL, RStudio, Python, building models, data extraction and scrubbing ...

QCi

PIC Test Engineer- Tempe

Arizona, LA · On-site +1

Programming ability in Python, MATLAB, or similar tools for data analysis and automation. * Strong knowledge of waveguide theory, coupling mechanisms, and electrical and photonic device physics.

QCi

Senior Industrial Engineer-Automation

Arizona, LA · On-site

$41 - $56/hr

Support and improve production reporting, recipe management, material tracking, equipment reporting, and critical measurement data analysis systems. * Maintain documentation for cost models, process ...

QCi

Process Engineer - H1

Arizona, LA · On-site

Senior Process Engineer - H1 Location: Tempe, AZ Department: Operations Reports to: Director of ... Strong problem-solving skills with experience in data analysis, SPC, and DOE. * Ability to work in ...

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Senior Python Data Analyst information

See Magnolia, AR salary details

$53.2K

$96K

$131.1K

How much do senior python data analyst jobs pay per year?

As of Sep 9, 2026, the average yearly pay for senior python data analyst in Magnolia, AR is $96,001.00, according to ZipRecruiter salary data. Most workers in this role earn between $83,200.00 and $105,000.00 per year, depending on experience, location, and employer.

What is the difference between Senior Python Data Analyst vs Data Scientist?

AspectSenior Python Data AnalystData Scientist
Required CredentialsBachelor's in Data Science, Statistics, or related field; Python proficiencyBachelor's or Master's in Data Science, Computer Science, or related; Python, R, machine learning skills
Work EnvironmentData analysis teams, business units, reportingResearch, model development, advanced analytics
Employer & Industry UsageBusiness, finance, marketing, healthcareTech companies, research institutions, finance, healthcare
Common Search & ComparisonYesYes

While both roles require Python skills and data analysis expertise, Data Scientists typically engage in advanced modeling, machine learning, and research tasks, whereas Senior Python Data Analysts focus more on interpreting data, generating reports, and supporting business decisions.

What cities near Magnolia, AR are hiring for Senior Python Data Analyst jobs?

Cities near Magnolia, AR with the most Senior Python Data Analyst job openings:

Senior Python Data Analyst jobs near you
Infographic showing various Senior Python Data Analyst job openings in Magnolia, AR as of August 2026, with employment types broken down into 1% As Needed, 75% Full Time, 19% Part Time, 3% Temporary, and 2% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution, with an average salary of $96,001 per year, or $46.2 per hour.

Data Engineer I

El Dorado, AR

Murphy USA
Retail • 10K+ employees
Learn more about Murphy USAexternal

$101K - $122K/yr

Full-time

Re-posted 18 days ago

Murphy USA rating

4.1

Company rating: 4.1 out of 10

Based on 261 frontline employees who took The Breakroom Quiz

44th of 47 rated convenience stores

Job description

GENERAL DESCRIPTION OF POSITION
The Data Engineer is responsible for development and support of data products on a modern cloud-based data lake, leveraging expertise and knowledge of multiple technologies & data domains to help build a robust, scalable, and reliable data engineering platform.
Additionally, a Data Engineer is responsible for providing data services for enterprise-grade analytical environments, utilizing automated data pipelines at scale, and streamlining efficient data transformations for priority use cases. This role can be involved hands on in development of the codebase and partners with business units and peer technology groups to support analytics execution.
ESSENTIAL DUTIES AND RESPONSIBILITIES
Partner across the organization to architect, implement, deploy, and maintain data-driven systems solutions
Build, maintain and simplify enterprise data pipelines with emphasis on security, reusability & data quality.
Perform debugging and fixing application issues, root cause analysis, and help in proactive/preventive maintenance.  Help in technical debt reduction and follow clean code principles
Development experience in one or more languages (e.g. Python, SQL, PySpark)
Experience in the use of Infrastructure as Code tools (Databricks Asset Bundled,Terraform)
Engagement in data governance council to define, develop, and review standards, guidelines, and data models to promote data quality and best practices
Leverage DevOps tools to automate deployment and validation/test automation of data engineering pipelines. 
Writes and executes complete testing plans, protocols, and documentation for assigned portion of data system or component; identifies defects and creates solutions for issues with code and integration into data system architecture.
Effectively plan and collaborate with technical and non-technical teams on business initiatives
QUALIFICATIONS
To perform this job successfully, an individual must be able to perform each essential duty mentioned satisfactorily.  The requirements listed below are representative of the knowledge, skill, and/or ability required: 
 Technical knowledge of BI systems design
 Big data architecture and technology landscape
 ETL orchestrations
 Strong communications skills
 Comfort working in a fast-paced, multi-task environment
EDUCATION AND EXPERIENCE
Bachelor's degree in Computer Science, Information Systems, Engineering, or a related field, or an equivalent combination of education and relevant experience.
Demonstrated understanding of core technology disciplines, including but not limited to software development, database administration, systems architecture, cloud technologies, infrastructure, and related technical domains.
1-2 years of relevant experience in data engineering, data analytics, software development, database administration, or a related technical field.

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