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

Midasis Technologies LLC

Data Analyst

Richardson, TX · On-site

Proficiency in Python (Pandas, NumPy, data analysis libraries) * Experience partnering with executive leadership teams * Strong knowledge of data warehousing, ETL/ELT processes, and data governance

LP Analyst

Data Analyst - Data Operations

Dallas, TX · On-site

Required : • 0-3 years of experience in a data, analytics, or operations role • Hands-on experience with Python, including writing scripts for data processing or automation • Working knowledge ...

Loopback Analytics

Data Analyst

Dallas, TX · Remote

Python, SQL, PowerBI, Tableau, etc.) in a commercial capacity * Experience working with extremely ... Implementing and designing data curation, and data analysis frameworks * Experience working across ...

kgs

Data Analyst

Dallas, TX · On-site

Compile, prepare, and analyze quantitative data using Excel, Python, R, and other analytical tools to support grant administration and program oversight. * Conduct both basic and complex statistical ...

kgs

Data Analyst

Dallas, TX · On-site

Compile, prepare, and analyze quantitative data using Excel, Python, R, and other analytical tools to support grant administration and program oversight. * Conduct both basic and complex statistical ...

Cambium Learning Group

Data Analyst

Dallas, TX · On-site +1

The Data Analyst (SQL) will be primarily responsible for the following: * Integrate data from ... language (Python, R, or other). * Must be detail-oriented with excellent analytical and ...

Inficare Technologies

Data Analyst

Richardson, TX · On-site

Data Analyst Location : Richardson, TX (Hybrid) Key Skills: * Must be proficient in using AI ... Proficiency in Python or R for analysis and automation is a plus. • Strong instincts for ...

Loopback LLC

Data Analyst

Dallas, TX · On-site

Python, SQL, PowerBI, Tableau, etc.) in a commercial capacity * Experience working with extremely ... Implementing and designing data curation, and data analysis frameworks * Experience working across ...

Vistra Corp

Lead Data Analyst

Irving, TX · On-site

Conducting advanced analysis using statistical tools and software, such as R or Python. Identifying areas for improvement in data collection and analysis processes and recommending solutions to ...

TXU Energy

Lead Data Analyst

Irving, TX · Hybrid

Conducting advanced analysis using statistical tools and software, such as R or Python. Identifying areas for improvement in data collection and analysis processes and recommending solutions to ...

Iapetus Holdings LLC

Data Analyst

Dallas, TX · On-site

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 ...

Vistra Energy

Lead Data Analyst

Irving, TX · Hybrid

Conducting advanced analysis using statistical tools and software, such as R or Python. Identifying areas for improvement in data collection and analysis processes and recommending solutions to ...

Iapetus Holdings LLC

Data Analyst

Dallas, TX

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 ...

Iapetus Holdings LLC

Data Analyst

Dallas, TX · On-site

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 ...

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Python Data Analyst information

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$33.6K

$81.8K

$134.5K

How much do python data analyst jobs pay per year?

As of Jul 11, 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.

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.
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Python Data Analyst jobs near you
Pyspark/Python Data Engineer

Pyspark/Python Data Engineer

Tata Consultancy Services

Irving, TX • On-site

$106K - $127K/yr

Full-time

Re-posted yesterday

Tata Consultancy Services rating

6.5

Company rating: 6.5 out of 10

Based on 21 frontline employees who took The Breakroom Quiz

157th of 210 rated it services

Job description

Job Summary:
Tata Consultancy Services is seeking a skilled PySpark Data Engineer to design, build, and optimize scalable data processing pipelines. The ideal candidate will have hands-on experience with PySpark and Python, focusing on developing efficient data processing components and ensuring data quality across pipelines.
Responsibilities:
• Design, develop, and maintain ETL/ELT pipelines using PySpark
• Write optimized and scalable PySpark transformations using DataFrames and Spark SQL
• Develop reusable and efficient Python-based data processing components
• Ensure data quality, integrity, and performance across pipelines
• Perform debugging, performance tuning, and optimization of PySpark jobs
• Collaborate with cross-functional teams (Data Analysts, Architects, DevOps)
• Contribute to CI/CD pipelines and deployment workflows for data applications
• Monitor and troubleshoot data workloads in production environments
Qualifications:
Required:
• BACHELOR OF COMPUTER SCIENCE
• Strong hands-on experience in PySpark (Spark SQL, DataFrame API)
• Advanced proficiency in Python (data processing, performance tuning, modular coding)
• Solid understanding of ETL design patterns and data pipeline architecture
• Good working knowledge of SQL for data transformation and analysis
• Experience with data processing in distributed environments
• 3–8 years of experience in Data Engineering / PySpark development
• Proven hands-on project experience in PySpark + Python
Preferred:
• Experience with cloud platforms (AWS preferred – S3, Glue, EMR or equivalent services)
• Familiarity with workflow orchestration tools such as Airflow or similar schedulers
• Exposure to data warehousing concepts (e.g., Snowflake or similar platforms)
• Knowledge of code versioning (Git) and CI/CD practices
Company:
Tata Consultancy Services is a business solutions company that specializes on information technology services and consulting. It is a sub-organization of Tata Group. Founded in 1968, the company is headquartered in Mumbai, IND, with a team of 10001+ employees. The company is currently Late Stage.

What Tata Consultancy Services employees say

Pay

Benefits

Hours and flexibility

Workplace

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About Tata Consultancy Services

Sourced by ZipRecruiter

Tata Consultancy Services is an IT services, consulting and business solutions organization that delivers real results to global business, ensuring a level of certainty no other firm can match. TCS offers a consulting-led, integrated portfolio of IT, BPO, infrastructure, engineering, and assurance services. This is delivered through its unique Global Network Delivery Model™, recognized as the benchmark of excellence in software development. TCS delivers a level of certainty that no other firm can match--to our clients and to our employees. Come join us and experience certainty in your career. TCS a global Consulting and IT Services firm that is ranked in the top quartile by industry analysts. Our 2021 fiscal revenues topped $25 B and our market capitalization is over $170+B, yet we have a deep and large history of philanthropy and corporate social responsibility. Now approaching 600K of the best IT professionals and consultants, we are a trusted advisor, guiding our clients' enterprises through growth and transformation journeys - helping them to become agile, intelligent, automated and on the cloud. We are devoted to DEI and are recognized as a top employer and place to work.

Industry

It services

Company size

10,000+ Employees

Headquarters location

Edison, NJ, US

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