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

Knowledge of programming languages such as Python or R for advanced data analysis. * Experience with GIS tools and spatial data analysis. * Understanding of data governance and compliance ...

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 ...

Use Python and PySpark for data processing, transformation, automation, and analysis. * Work with Apache Spark and Spark SQL to process and analyze large datasets efficiently. * Support data analysis ...

New

Use Python and PySpark for data processing, transformation, automation, and analysis. * Work with Apache Spark and Spark SQL to process and analyze large datasets efficiently. * Support data analysis ...

New

Experience with Python or R for data manipulation and analysis. * Familiarity with cloud-based data platforms (Snowflake, Databricks). * Understanding ofdata governance and quality assurance ...

Experience with Python or R for data manipulation and analysis. * Familiarity with cloud-based data platforms (Snowflake, Databricks). * Understanding ofdata governance and quality assurance ...

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 ...

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 ...

Principal Data Analyst At Capital One, data is at the center of everything we do. When we launched ... Scripting experience in (Python, R, Spark, and SQL) * Strong desire and experience with data in ...

Principal Data Analyst At Capital One, data is at the center of everything we do. When we launched ... Scripting experience in (Python, R, Spark, and SQL) * Strong desire and experience with data in ...

Lead Data Analyst

Frisco, TX · On-site

$119K - $146K/yr

... Python Related Skills Collaboration, Continuous Improvement Mindset, Data-Driven Business ... Engineering/Analytics, Data Visualization, Predictive Modeling, Problem Solving, Programming ...

Lead Data Analyst

Dallas, TX · On-site

$119K - $146K/yr

... Python Related Skills Collaboration, Continuous Improvement Mindset, Data-Driven Business ... Engineering/Analytics, Data Visualization, Predictive Modeling, Problem Solving, Programming ...

Conduct in-depth analysis of structured and unstructured datasets using SQL, Python, and Excel to ... Respond to ad hoc data requests with accurate, timely analysis, and translate findings into clear ...

Conduct in-depth analysis of structured and unstructured datasets using SQL, Python, and Excel to ... Respond to ad hoc data requests with accurate, timely analysis, and translate findings into clear ...

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 ...

Showing results 21-40

Python Data Analyst information

See Dallas, TX salary details

$33.6K

$81.8K

$134.5K

How much do python data analyst jobs pay per year?

As of Aug 22, 2026, the average yearly pay for python data analyst in Dallas, TX is $81,750.00, according to ZipRecruiter salary data. Most workers in this role earn between $61,800.00 and $96,000.00 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.

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.

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.

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.

Is Python good for data analysts?

Python is widely used by data analysts due to its simplicity, extensive libraries like pandas and NumPy, and strong community support. It enables efficient data manipulation, analysis, and visualization, making it a valuable skill for the role.

What are the most commonly searched types of Python Data Analyst jobs in Dallas, TX?

The most popular types of Python Data Analyst jobs in Dallas, TX are:

What job categories do people searching Python Data Analyst jobs in Dallas, TX look for?

The top searched job categories for Python Data Analyst jobs in Dallas, TX are:

What cities near Dallas, TX are hiring for Python Data Analyst jobs?

Cities near Dallas, TX with the most Python Data Analyst job openings:

Infographic showing various Python Data Analyst job openings in Dallas, TX as of August 2026, with employment types broken down into 83% Full Time, and 17% Contract. Highlights an 92% In-person, 4% Hybrid, and 4% Remote job distribution, with an average salary of $81,750 per year, or $39.3 per hour.

Full-time

Re-posted 29 days ago


Job description

Job Title: Data Analyst

 

Who we are

Iapetus Infrastructure oversees a portfolio of specialized field services companies, operating under one IIS umbrella. At IIS, our strength lies in the connective tissue that ties our operating companies together and allows us to best serve our clients. We are a team of thinkers, problem solvers, and industry experts who collectively deliver the right solution for our clients.   

Who you are

You appreciate the client relationship and understand that delivering an excellent experience to the client is critical to success.  You enjoy problem solving and are able to think and react quickly; you have a keen eye for detail and are able to multi-task; and able to work collaboratively with multiple stakeholders.  You are self-motivated and able to work with little to no supervision; you practice good time management, and you consistently take the initiative to get things done; and take action on matters before being asked by others or forced by event. You are naturally curious, malleable in your approach, and don’t mind if every day looks a little different. You have appreciation for attention to detail, you’re a team player and work towards achieving common goals for the client. You’re honest and respectful in your communication style and when things go astray, you understand that it’s an opportunity to learn, take accountability and create a path forward.

Position Overview:
We are seeking a highly skilled and detail-oriented Data Analyst to support our consulting projects and operational functions. This role will focus on developing and managing work management solutions and creating insightful PowerBI dashboards. The successful candidate will analyze data sets, design efficient workflows, and deliver actionable insights to enhance decision-making processes across our organization. This is an in-office role

Key Responsibilities:

  • Analyze complex data sets to identify trends, patterns, and actionable insights to support consulting projects and operational objectives.
  • Design, build, and optimize workflows to streamline data collection, processing, and reporting processes.
  • Develop, manage, and maintain interactive dashboards in PowerBI to visualize key performance metrics and project outcomes.
  • Collaborate with cross-functional teams, including consultants, project managers, and field operations, to gather requirements and ensure data solutions align with business needs.
  • Ensure the accuracy, integrity, and security of data by implementing best practices in data management and quality assurance.
  • Provide technical expertise in work management solutions, integrating data from various sources to create seamless operational workflows.
  • Deliver reports and presentations to stakeholders, explaining complex data findings in a clear and concise manner.
  • Identify opportunities for process improvements and contribute to the continuous enhancement of data-driven operations.
  • Stay updated on the latest trends and technologies in data analysis, visualization, and workflow automation.
  •  

Qualifications:

  • Bachelor’s degree in Forestry, Environmental Science, Data Science, Statistics, Computer Science, or a related field; Master’s degree preferred.
  • Minimum of 5 years of experience in data analysis, workflow optimization, and dashboard creation.
  • Proficiency in PowerBI for data visualization and reporting.
  • Strong skills in SQL for querying and managing data from relational databases.
  • Experience with workflow management tools and platforms (e.g., Fulcrum, FastField, or similar).
  • Excellent problem-solving and analytical skills, with the ability to translate complex data into actionable insights.
  • Strong communication and interpersonal skills, with the ability to work collaboratively with diverse teams.
  • Self-motivated and able to manage multiple projects and deadlines effectively.
  • Familiarity with utility or infrastructure-related data is a plus.

Preferred Skills:

  • Knowledge of programming languages such as Python or R for advanced data analysis.
  • Experience with GIS tools and spatial data analysis.
  • Understanding of data governance and compliance requirements.

What We Offer:

  • Competitive salary and benefits package.
  • Opportunity to work on impactful consulting projects with cross-industry exposure.
  • Collaborative and innovative work environment.
  • Professional development and growth opportunities.