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

Design and implement automated ETL usingFME,Python (ArcPy),SQLand Snowflaketo automate workflow ... data across multiple areas * Manage content stored inArcSDEgeodatabases and SQL server * Programweb ...

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 ...

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

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 ...

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

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

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 ...

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 ...

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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 Jul 15, 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.

Is Python and SQL enough for a data analyst?

For a data analyst, proficiency in Python and SQL is fundamental for data manipulation, analysis, and querying databases. However, additional skills such as data visualization, statistical knowledge, and familiarity with tools like Excel or BI platforms are often required to perform comprehensive analysis and communicate insights effectively.

What jobs can you get with SQL and Python?

Data analysts, data scientists, and business intelligence analysts commonly use SQL and Python to extract, analyze, and visualize data. These skills are essential for roles involving data management, reporting, and automation, often requiring knowledge of databases, statistical analysis, and data visualization tools.

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 are Data Analyst Python SQL jobs?

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.

Is 40 too old to become a data analyst?

Age is not a barrier to becoming a data analyst; many professionals successfully transition into the field at various ages. Skills in Python, SQL, and data visualization tools are more important, and continuous learning can help overcome any age-related concerns. Employers value experience and analytical ability regardless of age.

What are the key skills and qualifications needed to thrive as a Data Analyst with Python and SQL, and why are they important?

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.

Can Python and SQL work together?

Data analysts often use Python and SQL together to efficiently extract, manipulate, and analyze data. Python libraries like pandas and SQL connectors enable seamless integration, allowing analysts to automate workflows and perform complex data processing tasks within a single environment.

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:
Infographic showing various Data Analyst Python Sql job openings in Midland, TX as of July 2026, with employment types broken down into 1% Locum Tenens, 1% Internship, 84% Full Time, 9% Part Time, 1% Temporary, and 4% Contract. Highlights an 82% Physical, 5% Hybrid, and 13% Remote job distribution, with an average salary of $81,135 per year, or $39 per hour.

Full-time

Posted 14 days ago


Job description

CURRENT EMPLOYEES - Please apply using "Jobs Hub" in Workday. This career site is for external applicants only.

The position sits within theITdepartment but works closely withthe various departments to achieve the spatial data needs of the organization. The Senior GISAnalystis expected to perform a variety of duties in support of this mission. Domain knowledge of the oil and gas industry is preferred along with proficient knowledge of GIS concepts such as spatial data creation and management, data visualization, spatial analysis, FME build and design, and systems administration.The positionadministersGIS workflows as well.


Job Duties and Responsibilities:

  • Design and process queries to extract, manipulate and analyze data

  • Assistwith special projects involving thematic map creation, dataconversionand/or quality control

  • Design and implement automated ETL usingFME,Python (ArcPy),SQLand Snowflaketo automate workflow processes

  • Integrate geospatial and operational data across multiple areas

  • Manage content stored inArcSDEgeodatabases and SQL server

  • Programweb-based applications within ArcGIS Enterprise such as dashboards, ExperienceBuilder

  • Collaboratewithinterdisciplinaryteams tointegrateGISdatawithothersystems(e.g.FME,ArcGISOnline,ExperienceBuilder)

  • Assistwithtraining junior GIS staff and end-users on GIS tools and best practices

RequiredQualifications:

  • Bachelor's Degree in GIS or related field

  • At leastseven (7)years of FMEworkexperiencein Oil and Gas

  • At leastseven(7) years ofGISwork experience using ArcGISandrelated tools and extensions including ArcGIS Pro

  • At leastsix(6)years of experience in Oil and Gas

Preferred Qualifications:

  • Master's Degree in GIS or related field

  • Experience with Surface Infrastructure, features, and attributes

  • Familiarity with ArcGIS Pro, ArcGISEnterpriseand Esri-related mobile applications

  • Programming and scripting skills

  • Advance understanding of key concepts FME and scripts for workflow processes

  • Proven high degree of accuracy and attention to detail

  • Proventrack recordof being able tosolve problemsand think creatively

  • Ability to suggest and implement process improvements to increase efficiency

Diamondback is an Equal Employment Opportunity Employer. Diamondback provides equal employment opportunities to all qualified applicants without regard to race, sex, sexual orientation, gender identity, national origin, color, age, religion, veteran or disability status, genetic information, pregnancy, or any other status protected by law. Diamondback participates in E-Verify. Learn more aboutE-Verify.