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

... Data Analyst will support operational and strategic decision-making by implementing data pipelines ... SQL, Python, Databricks, Snowflake, Alteryx, Spotfire, MS Power Platform and more) to minimize ...

... Data Analyst supports operational and strategic decision-making for safety, production, and cost ... Design, develop, and institute automated workflows utilizing various technologies (SQL, Python ...

... Data Analyst supports operational and strategic decision-making for safety, production, and cost ... Design, develop, and institute automated workflows utilizing various technologies (SQL, Python ...

... Data Analyst supports operational and strategic decision-making for safety, production, and cost ... Design, develop, and institute automated workflows utilizing various technologies (SQL, Python ...

Responsibilities : • Develop and maintain advanced Spotfire dashboards and SQL-based reports to support upstream operations • Use Python for data manipulation, automation, and custom analytics ...

Develop and maintain advanced Spotfire dashboards and SQL-based reports to support upstream operations * Use Python for data manipulation, automation, and custom analytics where needed * Collaborate ...

Develop and maintain advanced Spotfire dashboards and SQL-based reports to support upstream operations * Use Python for data manipulation, automation, and custom analytics where needed * Collaborate ...

Experience with database administration and management tools like Oracle, SQL Server, MySQL, or ... Familiarity with data pipelines, analytics platforms, and the role of databases in supporting AI ...

Work closely with the Programmer Analyst team and also provide backup to them when necessary ... Strong understanding of database concepts, SQL, and data modeling. * Experience with database ...

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Data Analyst Python Sql information

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$33.4K

$81.1K

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

As of Jul 13, 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.
Field Analytics Data Analyst

Field Analytics Data Analyst

ExxonMobil

Midland, TX • On-site

Full-time

Posted 11 days ago


ExxonMobil rating

6.0

Company rating: 6.0 out of 10

Based on 225 frontline employees who took The Breakroom Quiz

57th of 75 rated oil and gas companies


Job description

Job Summary:
ExxonMobil is one of the world’s largest publicly traded energy and chemical companies, focused on leading energy innovations. The Field Analytics Data Analyst will support operational and strategic decision-making by implementing data pipelines and business intelligence, conducting data analysis, and creating visualizations and dashboards.
Responsibilities:
• Develop automated reports, conduct analyses, and provide visibility into KPIs and performance drivers and trends help create final displays of the results, often for formal presentations
• Build and manage data pipelines integrating structured and unstructured data sources
• Design, develop, and institute automated workflows utilizing various technologies (SQL, Python, Databricks, Snowflake, Alteryx, Spotfire, MS Power Platform and more) to minimize human error, standardize data, and apply data management best practices with a focus on data integrity and governance
• Develop ETL processes and maintain application integrations across multiple systems and data sources
• Analyze drivers impacting LOE, Capital, and Production in coordination with Operations
• Develop, maintain, and distribute recurring reports accurately and on time
• Assist regulatory, financial, and accounting data compilation
• Maintain up-to-date and accurate tool documentation for reference purposes
• Evaluate current processes around data entry, data QC, report distribution and provide recommendations and solutions on optimizing existing processes
• Identify redundancies, automation opportunities, process inefficiencies and provide solutions
• Communicate, collaborate with multiple departments – field operations, IT, accounting, data support groups, etc
• Develop, maintain, distribute, and provide training on standardized tools for analyzing LOE, Capital, Production, and SSHE events/observations
• Stay updated on advancements in data automation, analysis, AI, machine learning, and digital oilfield technologies.
• Mentor operations team members on data engineering and BI development techniques
Qualifications:
Required:
• Bachelor's degree required in Data/Computer Science, Engineering, Mathematics or related field. Education should include mathematical and computer training
• 3+ years experience in a technical role
• Proficient working with relational databases and generating complex data visualizations
• Can modify established workflows and evaluate and assess errors as they arise
• Can interpret, understand, and explain workflows and data processes
• Performs complex analytics, generates insightful dashboards and/or can write code to automate basic redundant workflows/processes
• Works under limited supervision
• Ability to work in a fast-paced, cross-functional environment
• Works with technical staff and professionals
• Ability to explain complex concepts to non-technical staff
• Experience with data visualization including Spotfire, Tableau, and PowerBI applications is required
• Experience with ETL processes and Workflow automation (Ex: Databricks, Alteryx) is required
• Advanced proficiency in MS Office suite
Preferred:
• Understanding of programming languages such as Python, R, Matlab or similar is highly preferred
• Advanced level of data handling skills to include data integration and creating reports
• Subject Matter Expert within select functions applicable to Data Analyst role
Company:
ExxonMobil is an international oil and gas company that provides energy that helps underpin growing economies. Founded in 1870, the company is headquartered in Irving, USA, with a team of 501-1000 employees. The company is currently Late Stage.

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