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Python Data Analyst Jobs in Coppell, TX (NOW HIRING)

Proficiency in data analysis tools and techniques, including advanced SQL, Power BI, Python, KNIME or similar tools preferred. * Ability to work with large, complex datasets from multiple sources and ...

... Python. • Identifying areas for improvement in data collection and analysis processes and recommending solutions to improve efficiency and accuracy. • Preparing reports and presentations to ...

Proficiency in data analysis tools and techniques, including advanced SQL, Power BI, Python, KNIME or similar tools preferred. * Ability to work with large, complex datasets from multiple sources and ...

Title: Data Analyst/Developer Location: Grand Prairie, TX Job Mode: This role is on-site 5 days ... Strong SQL querying experience; exposure to R or Python is a plus. * 1+ year of front-end ...

We are seeking a data visualization expert with a passion for transforming complex data into clear ... Experience in Python and advanced analytics * Demonstrated experience building executive-ready ...

Data Analyst Location: US-Remote About the role The Insights & Analytics team at LTK is a core ... Experience with Python, R, or similar tools for analysis or automation is a plus, but not required.

Leverage your SQL/Python coding skills to pull and organize data that is needed for your analysis * Assess the quantitative and qualitative impacts of possible actions based on your insight, taking ...

Leverage your SQL/Python coding skills to pull and organize data that is needed for your analysis * Assess the quantitative and qualitative impacts of possible actions based on your insight, taking ...

Ascentt is building cutting-edge data analytics & AI/ML solutions for global automotive and ... Python, Power BI / Tableau, Snowflake, Azure / AWS, ETL, Data Pipelines Industry Experience ...

Data Analyst SME (Subject Matter Expert) Location: Coppell, TX Onsite We are seeking an experienced ... Python * R * Strong understanding of data modeling, ETL processes, and data warehousing concepts.

Data Analyst, Government Are you ready to unlock the power of data to drive business growth and ... Python, SQL, SAP, and Business Objects #LI-ES1 What's in it For You? * Hybrid Work Model: We've ...

Senior Data Analyst

Irving, TX · On-site

$82K - $104K/yr

Leverage Python, SQL, and statistical analysis to identify key data patterns and multivariate correlations. * Conduct exploratory data analysis and ensure data integrity across structured and ...

Familiarity with additional data analysis tools and programming languages such as Python or R is highly desirable. * Understanding of data modeling concepts and ETL processes is a plus. * Experience ...

Familiarity with additional data analysis tools and programming languages such as Python or R is highly desirable. * Understanding of data modeling concepts and ETL processes is a plus. * Experience ...

C++, Python, SQL). Desired skills - Background in STEM related field, Operations Research, Statistics, Data Analytics, Applied Mathematics, Operations Management, Decision Sciences, Data Science ...

Senior Data Analyst

Irving, TX · Remote

$79K - $100K/yr

Senior Data Analyst Job Requisition: 6630.7570.5 Job Location: 6021 Connection Drive, Irving, TX ... Python. 4. Manage administrative activities across Tableau Server infrastructure. 5. Import ...

Senior Data Analyst

Irving, TX · On-site

$79K - $100K/yr

Senior Data Analyst Job Requisition: 6630.7570.5 Job Location: 6021 Connection Drive, Irving, TX ... Python. 4. Manage administrative activities across Tableau Server infrastructure. 5. Import ...

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Python Data Analyst information

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$31.4K

$76.3K

$125.5K

How much do python data analyst jobs pay per year?

As of Jul 12, 2026, the average yearly pay for python data analyst in Coppell, TX is $76,291.00, according to ZipRecruiter salary data. Most workers in this role earn between $57,700.00 and $89,500.00 per year, depending on experience, location, and employer.

What does a Python Data Analyst do?

A Python Data Analyst leverages the Python programming language to collect, process, and analyze large sets of data. They use tools and libraries like Pandas, NumPy, and Matplotlib to clean data, perform statistical analysis, and create visualizations that help organizations make data-driven decisions. Their role often involves extracting insights from complex datasets, automating data workflows, and communicating findings to stakeholders through reports or dashboards. Python Data Analysts play a crucial part in turning raw data into actionable business intelligence.

How do Python Data Analysts typically collaborate with other departments within an organization?

Python Data Analysts often work closely with teams such as marketing, finance, and product development to provide data-driven insights that inform business decisions. They regularly participate in cross-functional meetings to understand departmental objectives, gather requirements for data analysis, and present their findings in an accessible manner. Effective communication and the ability to translate technical results into actionable recommendations are essential, as analysts often act as a bridge between technical data and non-technical stakeholders.

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

AspectPython Data AnalystData Scientist
Required SkillsPython, SQL, data visualization, statistical analysisPython, R, machine learning, statistical modeling
Work EnvironmentBusiness analytics, reporting, data cleaningAdvanced modeling, predictive analytics, research
Industry UsageFinance, marketing, healthcare, retailTech, finance, research, AI development

While both roles require Python and data analysis skills, Data Scientists typically engage in more complex modeling and machine learning, whereas Python Data Analysts focus on data cleaning, visualization, and reporting to support business decisions.

What Does a Python Data Analyst Do?

As a Python data analyst, you use the Python programming language to develop tools for data mining, analysis, and data visualization. You typically develop a script to meet the specific data needs of your client or employer. Then, you test your code and perform debugging duties before deploying it in a live environment. Some data analysts also have algorithm creation responsibilities. In this case, after creating and testing an algorithm, you use Python with your algorithm to interpret data. You also develop reports to show to your clients or employers, and you may code a web app or interface that clients can use to visualize data sets.

Will AI replace a data analyst?

AI tools can automate routine data processing and analysis tasks, but the role of a data analyst involves interpreting insights, understanding business context, and communicating findings, which require human judgment. Data analysts who develop skills in programming, data visualization, and machine learning can adapt to new technologies and continue to add value in data-driven decision-making.

Is 40 too old to become a data analyst?

Age is not a barrier to becoming a data analyst; many professionals transition into the field later in life. Success depends on acquiring relevant skills such as SQL, Python, and data visualization, along with practical experience and certifications. Employers value diverse backgrounds and experience, making it possible to start a data analyst career at any age.

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

To thrive as a Python Data Analyst, you need strong analytical skills, a solid grasp of statistics, and proficiency in Python programming, often supported by a degree in data science, mathematics, or a related field. Familiarity with data analysis libraries like pandas and NumPy, visualization tools such as Matplotlib or Seaborn, and experience with data querying languages like SQL are typically required. Attention to detail, critical thinking, and effective communication help you derive insights and present findings clearly to stakeholders. These skills and qualities are vital for transforming raw data into actionable business intelligence and supporting data-driven decision-making.

Is Python a high paying job?

Python Data Analysts are generally well-compensated due to their technical skills in programming, data manipulation, and analysis. Salaries vary based on experience, location, and industry, but proficiency in Python often leads to higher earning potential compared to many other entry-level roles in data analysis. Certifications and knowledge of related tools like SQL or machine learning can further increase salary prospects.

Is Python useful for data analysts?

Python is highly useful for data analysts because it offers powerful libraries like Pandas, NumPy, and Matplotlib for data manipulation, analysis, and visualization. It is widely used in the industry for automating tasks, building data pipelines, and performing statistical analysis, making it a valuable skill for the role.
What job categories do people searching Python Data Analyst jobs in Coppell, TX look for? The top searched job categories for Python Data Analyst jobs in Coppell, TX are:
What cities near Coppell, TX are hiring for Python Data Analyst jobs? Cities near Coppell, TX with the most Python Data Analyst job openings:
Data Analyst

Full-time

Posted 22 days ago


Job description

Company Overview:

MP Materials (NYSE: MP) is rebuilding American industrial capability for a new era of autonomy, robotics, and electrification.

We are the only U.S. company with a fully integrated rare earth supply chain—from mining and refining to advanced metal and magnet manufacturing. Our products include both the critical materials used to make permanent magnets and the finished magnets themselves—enabling next-generation technologies in robotics, automation, aerospace, transportation, defense, and energy systems. These materials are the foundation of physical AI—the convergence of computation, movement, and control.

We hire ambitious, mission-driven people who want to tackle complex challenges and shape the future of strategic industries. Our culture is rooted in teamwork, resiliency, and integrity, with a deep commitment to operational excellence and national purpose. MP is rapidly evolving from a materials producer into a leading U.S. manufacturer—and our people are driving that transformation.

Position Overview:

MP embraces an owner operator culture, and the Data Analyst will be empowered to develop and maintain the Company’s reporting and analytics portfolio in collaboration with the broader analytics team. This position will possess a unique view of the business and support manufacturing, engineering, finance, and other functional teams in developing and analyzing operational performance, resource allocation, and future planning. The Data Analyst will be a key member of MP Magnetics analytics team.

Position Responsibilities:

  • Collect, clean, and integrate data from multiple disparate sources, including ERP systems, production systems, and financial platforms, for use in manufacturing analysis and reporting.
  • Develop advanced reports, dashboards, and visualizations to monitor manufacturing performance, operational efficiency, and financial KPIs.
  • Perform in-depth statistical and trend analysis on production, inventory, and cost data to identify opportunities for process optimization and cost reduction.
  • Interpret complex datasets and present actionable insights with clear distinction between data-driven facts and business recommendations.
  • Support enterprise-wide analytics initiatives, including predictive modeling and process optimization projects.
  • Work with engineering teams to gather and analyze process data in the context of underlying physical parameters, helping drive fundamental understanding of process performance on a first principles basis.

Other Functions:

  • Collaborate with business stakeholders to understand analytical needs.
  • Develop and maintain dashboards, weekly manager reports, and recurring analysis.
  • Develop statistical analysis using large disparate data sources to form new insights and support data-driven decision processes.
  • Provide weekly and monthly reports and analyses for senior leaders.
  • Manage aspects of the analytical architecture and collection of manufacturing data.
  • Other duties as assigned.

Basic Qualifications:

  • Bachelor’s degree in Data Analytics, Industrial Engineering, Finance, Computer Science, or related field.
  • 3+ years of experience in a manufacturing environment or with manufacturing data analytics; public company experience is a plus.
  • Strong understanding of manufacturing processes, operational KPIs, and cost structures.
  • Proficiency in data analysis tools and techniques, including advanced SQL, Power BI, Python, KNIME or similar tools preferred.
  • Ability to work with large, complex datasets from multiple sources and deliver clear, actionable insights.

Desired Qualities:

  • Must be highly analytical, intellectually curious and a fast learner.
  • Ability to identify objectives, collect and process data, analyze and interpret results, and present conclusion and recommendations.
  • Must be self-directed, highly collaborative, and able to handle a variety of responsibilities.
  • Ability to work with all levels within the organization, including senior management.
  • Ability to work with internal customers and external agencies for compliance and controls.
  • Strong verbal and written presentation skills.
  • Familiarity with, or keen interest in learning about, mining, manufacturing, and industrial processes.

MP Materials is Proud to be an Equal Opportunity / Affirmative Action Employer 

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or any other characteristic protected by law. Underrepresented groups/Women/Disabled/Veterans are encouraged to apply. Candidates whose disabilities make them unable to meet the position’s requirements will still be considered qualified if they can perform the essential functions of the job with reasonable accommodation.

Your Right to Work – In compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the United States and to complete the required employment verification document form upon hire.

For Assistance with Application - Alternative methods of applying for employment are available to individuals unable to submit an application through this site because of a disability. Contact Human Resources Department at 702-844-6111; dial 7 when prompted for HR; 1700 South Pavilion Center Dr. 8th Floor, Las Vegas, NV 89135 to discuss reasonable accommodation.