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Data Analyst Python Sql Jobs in Midland, TX (NOW HIRING)

Airswift

Well Servicing Engineering Tech

Midland, TX · On-site

Business Analysis & Process Improvement * Workflow & System Optimization * Training & Documentation Technical Skills - Preferred * Data & Querying: SQL, Databricks, Python * Visualization & Reporting:

ChampionX

Optimization Engineer

Midland, TX · On-site

Utilize LOOKOUT for monitoring well performance data. * Ensure accuracy and address downtime ... Programming skills ( python, sql, java) * Prior experience that required excellent communication ...

ChampionX

Optimization Engineer

Midland, TX · On-site

Utilize LOOKOUT for monitoring well performance data. * Ensure accuracy and address downtime ... Programming skills ( python, sql, java) * Prior experience that required excellent communication ...

DistributionNOW

Senior SCADA Engineer

Midland, TX · On-site

$102K - $140K/yr

... tooling using Python and SQL. * Support database optimization, data pipelines, and backend ... Strong analytical, problem-solving, and communication skills. * Ability to document technical ...

DNOW L.P.

Senior SCADA Engineer

Midland, TX

$102K - $140K/yr

... tooling using Python and SQL. * Support database optimization, data pipelines, and backend ... Strong analytical, problem-solving, and communication skills. * Ability to document technical ...

Permian Resources

Peloton Support Analyst

Midland, TX · On-site

Troubleshoot and resolve failures across the full data integration pipeline: inbound and outbound ... SQL proficiency and experience supporting integrations and reporting * Demonstrated experience ...

Permian Resources

Peloton Support Analyst

Midland, TX · On-site

... full data integration pipeline: inbound and outbound integrations for WellView and SiteView ... • SQL proficiency and experience supporting integrations and reporting • Demonstrated ...

Permian Resources

Integration Developer

Midland, TX · On-site

$49.25 - $65.50/hr

... volumes of data from source systems into our Databricks analytics environment. • Build and ... SQL. • Experience designing and maintaining REST and/or SOAP APIs; familiarity with ...

Permian Resources

Integration Developer

Midland, TX

$49.25 - $65.50/hr

Develop data models and pipelines that support reporting, dashboards, and analytical use cases ... Proficiency in Python and/or other modern languages (Java, C++, R); solid understanding of object ...

Permian Resources

Integration Developer

Midland, TX · On-site

$49.25 - $65.50/hr

Develop data models and pipelines that support reporting, dashboards, and analytical use cases ... Proficiency in Python and/or other modern languages (Java, C++, R); solid understanding of object ...

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All JobsData Analyst Python Sql JobsData Analyst Python Sql Jobs in Midland, TX

Data Analyst Python Sql information

See Midland, TX salary details

$33.4K

$81.1K

$133.5K

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

As of Aug 7, 2026, the average yearly pay for data analyst python sql in Midland, TX is $81,135.00, according to ZipRecruiter salary data. Most workers in this role earn between $61,400.00 and $95,200.00 per year, depending on experience, location, and employer.

How does a data analyst using Python and SQL typically collaborate with other departments within an organization?

Data Analysts proficient in Python and SQL frequently work alongside teams such as marketing, product development, finance, and operations. They gather requirements from stakeholders, translate business questions into data queries, and present actionable insights through dashboards or reports. Regular meetings and clear communication are essential to ensure that data solutions align with business goals, and Data Analysts often act as a bridge between technical data teams and non-technical decision makers. This collaborative environment helps drive data-informed decisions across the organization.

What is a data analyst Python SQL?

Data Analyst Python SQL jobs involve analyzing and interpreting data to help organizations make informed business decisions. These professionals use Python for data manipulation, automation, and visualization, and SQL for querying and managing data stored in relational databases. Typical tasks include data cleaning, building reports, extracting insights, and creating dashboards. Data Analysts often collaborate with other teams to understand data requirements and communicate findings through presentations or visualizations. Proficiency in both Python and SQL is essential for efficiently handling large data sets and solving complex analytical problems.

What jobs can I get if I know Python and SQL?

Data analysts with Python and SQL skills can pursue roles such as data analyst, business intelligence analyst, or data scientist. These positions typically involve data extraction, cleaning, analysis, and visualization, often using tools like pandas, SQL databases, and visualization software. Strong programming and database management skills are essential for these roles.

What are the key skills and qualifications needed to thrive as a data analyst with Python and SQL?

To thrive as a Data Analyst specializing in Python and SQL, you need strong analytical skills, statistical knowledge, and proficiency in data manipulation, typically supported by a relevant degree or certification. Expertise in Python for data analysis, SQL for database querying, and experience with visualization tools like Tableau or Power BI are commonly expected. Attention to detail, problem-solving abilities, and effective communication are crucial soft skills for interpreting data and presenting actionable insights. These skills help ensure accurate analysis, impactful reporting, and informed decision-making within organizations.

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

AspectData Analyst Python SqlData Scientist
Required SkillsExcel, SQL, Python basics, data visualizationAdvanced Python, machine learning, statistical modeling
Work EnvironmentBusiness intelligence, reporting, dashboardsPredictive modeling, research, complex data analysis
Industry UsageFinance, marketing, retail, healthcareTech, finance, research institutions, startups

While Data Analysts with Python and SQL focus on interpreting data, creating reports, and visualizations, Data Scientists build predictive models and perform advanced statistical analysis. Both roles require Python and SQL skills, but Data Scientists typically have a stronger background in statistics and machine learning, making their work more research-oriented.

What are popular job titles related to Data Analyst Python Sql jobs in Midland, TX? For Data Analyst Python Sql jobs in Midland, TX, the most frequently searched job titles are:
What job categories do people searching Data Analyst Python Sql jobs in Midland, TX look for? The top searched job categories for Data Analyst Python Sql jobs in Midland, TX are:
What cities near Midland, TX are hiring for Data Analyst Python Sql jobs? Cities near Midland, TX with the most Data Analyst Python Sql job openings:
Data Analyst Python Sql jobs near you
Infographic showing various Data Analyst Python Sql job openings in Midland, TX as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $81,135 per year, or $39 per hour.

Well Servicing Engineering Tech

Airswift

Midland, TX • On-site

Contractor

Re-posted 16 days ago

Job description

Our client, a major Oil and Gas company, is looking for a Well Servicing Engineering Tech to work on a 12 months contract in Midland, TX
Position Overview
The Well Servicing Engineering Technician / Data & Reporting Analyst plays a critical role in supporting Well Management Engineers, operations, and leadership through advanced data management, reporting, and analytics. This position is responsible for driving data governance, developing dashboards, and ensuring data integrity.
Key Responsibilities
  • Assist with data governance initiatives to ensure accuracy, consistency, and reliability of production and operational data across systems.
  • Design, develop, and maintain dashboards, reports, and interactive applications to support engineering, operations, and executive leadership.
  • Build and optimize reporting tools (e.g., Spotfire, Databricks apps) to significantly improve performance, usability, and accessibility of data.
  • Develop automated workflows and web-based tools that integrate directly with source systems to enhance self-service reporting capabilities.
  • Create and maintain data validation and QA/QC processes to improve reporting accuracy and reduce manual correction efforts.
  • Generate exception reports to identify and resolve data integrity issues across multiple platforms.
  • Write and maintain SQL queries for data extraction, transformation, and analysis.
  • Troubleshoot and resolve data issues across enterprise systems to support day-to-day operations.
  • Support system upgrades and enhancements (e.g., WellView, ), including testing, defect identification, and workflow improvements.
  • Partner with cross-functional teams including engineering, IT, operations, and vendors to drive continuous improvement initiatives.
  • Prepare and deliver reports, dashboards, and presentations for management, executives, and company-wide meetings.
  • Provide training, documentation, and user support to improve adoption and effective use of reporting tools and systems.
Core Competencies
  • Reporting & Analytics
  • Dashboard Development & Visualization
  • Data Validation, QA/QC, and Integrity Management
  • Business Analysis & Process Improvement
  • Workflow & System Optimization
  • Training & Documentation
Technical Skills - Preferred
  • Data & Querying: SQL, Databricks, Python
  • Visualization & Reporting: Power Bi
  • Oil & Gas Systems: WellView
  • Business & Operations Tools: ProCount, Execute
  • Productivity Tools: Microsoft Office Suite
Experience Preferred
  • 5+ years of experience supporting engineering, drilling, completions, or production operations, preferably within the oil & gas industry.
  • Proven experience in data governance, reporting, and analytics across multiple operational basins or business units.
  • Strong expertise in building dashboards, writing SQL queries, and managing large datasets.
  • Experience serving as a subject matter expert (SME) for data systems and reporting tools.
  • Demonstrated ability to improve processes, enhance data quality, and optimize workflows.
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