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

Sr Business Data Analyst

Northlake, TX · On-site

$70K - $115K/yr

Apply Python, R, or other analytics tools to enhance reporting and automation * Stay current with modern data analytics trends and apply best practices to improve processes * Support site startups as ...

Apply Python, R, or other analytics tools to enhance reporting and automation * Stay current with modern data analytics trends and apply best practices to improve processes * Support site startups as ...

Expert proficiency in Python for data analysis and modeling * Strong experience with Databricks or similar distributed computing/cloud platform. * High proficiency in reporting tools (e.g., PowerBI)

Lead Data Analyst

Richardson, TX · On-site

$120 - $160/hr

Expert proficiency in Python for data analysis and modeling* Strong experience with Databricks or similar distributed computing/cloud platform.* High proficiency in reporting tools (e.g., PowerBI)

Expert proficiency in Python for data analysis and modeling * Strong experience with Databricks or similar distributed computing/cloud platform. * High proficiency in reporting tools (e.g., PowerBI)

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 ...

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 ...

Data Analyst Senior

Dallas, TX · On-site +1

$107K - $155K/yr

CLA is looking to hire a Data Analyst Senior; you will make use of the Microsoft Power Platform, or a scripting language like R or Python. The Data Analyst Senior cleans up data for analysis and/or ...

HR Data Analyst

Coppell, TX · On-site

$25 - $30/hr

Combine, clean, standardize, and validate data from multiple sources using Excel, SQL, Python, or ... Prepare data files and analyses for HR initiatives, acquisitions, system implementations, and ...

... analytics, and automation to solve business problems. Working with Finance and cross-functional ... Build, maintain, and optimize data pipelines using SQL, Python, and automation tools. * Improve ...

Data Analyst/BI Engineer

Plano, TX · On-site

$45 - $50/hr

Snowflake, Python Description: We are seeking a highly analytical, technically strong, and relentlessly curious Data Analyst / Analytics Engineer to help transform complex, disconnected data into ...

Product Data Analyst

Westlake, TX · On-site

$35 - $42/hr

The role blends business analysis, data analysis, systems analysis, and product management to ... Python, and PL/SQL. * Apply dimensional, relational, and unstructured modeling strategies.

Sr. Data Analyst

Richardson, TX · On-site

$78K - $98K/yr

Expert proficiency in Python for data analysis and modeling * Strong experience with Databricks or similar distributed computing/cloud platform. * High proficiency in reporting tools (e.g., PowerBI)

Sr. Data Analyst

Richardson, TX · On-site

$110 - $140/hr

Expert proficiency in Python for data analysis and modeling* Strong experience with Databricks or similar distributed computing/cloud platform.* High proficiency in reporting tools (e.g., PowerBI)

Sr. Data Analyst

Richardson, TX · On-site

$78K - $98K/yr

Expert proficiency in Python for data analysis and modeling * Strong experience with Databricks or similar distributed computing/cloud platform. * High proficiency in reporting tools (e.g., PowerBI)

Showing results 41-60

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.

Sr Business Data Analyst

DHL

Northlake, TX • On-site

$70K - $115K/yr

Full-time

Medical, Dental, Vision, PTO

Re-posted 15 days ago


DHL rating

6.9

Company rating: 6.9 out of 10

Based on 324 frontline employees who took The Breakroom Quiz

36th of 64 rated delivery companies


Job description

The Sr Business Data Analyst role has a national salary range of $70,000 - $115,000.
For roles within California the range is $70,304 - $115,000 and Washington is $80,169 - $115,000.
DHL Supply Chain offers multiple benefits including Medical, Dental, Vision, Prescription, Discounted Stock Purchase General Bonus Plan and a generous PTO policy.
Are you ready to launch your analytics career in the fast-paced world of supply chain? At DHL Supply Chain, we're looking for a Senior Business Data Analyst who is eager to apply data-driven thinking, build impactful visualizations, and support operational excellence. This is your opportunity to grow your skills, collaborate with warehouse leaders, and become a go-to resource for data tools and insights. If you're curious, analytical, and ready to lead, this role is for you.
Job Description
As a Senior Business Data Analyst, you will support warehouse operations by transforming data into actionable insights that improve performance and efficiency. You'll collaborate with site leadership and key stakeholders to build dashboards, implement standard tools, and support data-driven decision-making. In addition to core analytics work, you'll have the opportunity to lead projects across multiple sites, support site startups, and act as a point of contact for analytics community initiatives.
  • Develop and maintain Power BI reports to support operational and strategic decisions
  • Full development of Power BI including data visualization and back-end data model design
  • Clean, model, and analyze data using SQL, DAX, and statistical techniques to uncover trends and drive improvements
  • Implement and maintain standard reporting tools for the site or sector
  • Assist various functional teams (HR, Finance, etc.) with customized analytical solutions to meet evolving business needs
  • Serve as a point of contact for Power BI-related questions and analytics community initiatives
  • Lead knowledge-sharing sessions to promote data literacy and tool adoption
  • Manage analytics projects independently and across multiple sites
  • Design and implement data pipelines (ETL) from structured, semi-structured, and unstructured sources
  • Apply Python, R, or other analytics tools to enhance reporting and automation
  • Stay current with modern data analytics trends and apply best practices to improve processes
  • Support site startups as needed by implementing analytics tools and reporting frameworks

Required Experience
  • Bachelor's degree in Business, Logistics, Mathematics, Statistics, or a related field, or 4 years of equivalent professional experience, required
  • 3+ years of experience in data analytics, business intelligence, or a related field, required
  • Extensive experience using SQL or other scripting languages (such as Python or R) to query, clean, and transform data, required
  • Proficiency in Power BI, including building dashboards and reports from scratch, required
  • Proficiency in writing DAX expressions to automate and enhance Power BI reports, required
  • Experience designing and managing data pipelines and working with diverse data sources, required
  • Strong understanding of statistical concepts, data modeling techniques, and modern analytics trends, required
  • Excellent communication and presentation skills, with the ability to translate data into actionable insights, required
  • Ability to work independently, manage multiple priorities, and lead cross-functional projects, required
  • Must be able to work fully onsite if role based out of a warehouse, required

Our Organization is an equal opportunity employer.

What DHL employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom


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About DHL

Sourced by ZipRecruiter

When Adrian Dalsey, Larry Hillblom and Robert Lynn founded DHL in 1969, they didn’t know they would revolutionize the world of logistics. Today, DHL is the world’s leading logistics company. Our 600,000 people in over 220 countries and territories work every day to help you cross borders, reach new markets and grow your business. Or simply send a letter to your loved ones.

Industry

Transportation and warehousing and personal services

Company size

10,000+ Employees

Headquarters location

Plantation, FL, US

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