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Python Data Analyst Jobs (NOW HIRING)

Software Technology Inc

Python Data Engineer

Python Data Engineer This team supports data analytics for HEDIS. They have a Python engine which reports HEDIS standards for each year. Code runs on big data and cloud Day To Day: * Supporting data ...

Stellar IT Group

Data Analyst

Saint Louis, MO · On-site

We are seeking a Data Analyst with strong SQL and Python expertise to support data validation, data quality, and exploratory data analysis. This role focuses on ensuring data is accurate, reliable ...

ICONMA

Python Data engineer

Mclean, VA · On-site

Python Data Engineer Our client, a Real Estate and Financial Services company, is looking for a ... This position requires strong experience in data analysis, modeling and engineering with ability to ...

United IT

Python Data Engineer

Austin, TX · On-site

Python Data Engineer * 8+ years' experience in Python Data Engineering ... Excellent analytical and problem-solving skills. * Good to have GCP experience. * 3+ years ...

Black Cape

Python Data Engineer

Tampa, FL · On-site

Black Cape is a unique technology company focused on full-stack web applications and advanced data analysis tools for federal government customers. They are seeking a Python Data Engineer to work ...

Purple Drive

Technical Data Analyst

Warren, NJ · On-site

The ideal candidate will have strong hands-on experience with Python, MySQL , Agile delivery, and ... Use Python for data analysis, automation, and data transformation * Write and optimize MySQL ...

Diverse Lynx

Pyspark/Python Data Engineer

Edison, NJ · On-site

$116K - $139K/yr

PySpark /Python Data Engineer Must Have Technical/Functional Skills We are looking for a skilled ... Good working knowledge of SQL for data transformation and analysis * Experience with data ...

Diverse Lynx

PySpark/Python Data Engineer

Irving, TX · On-site

$100K - $120K/yr

PySpark/Python Data Engineer Location: Irving, TX Job Type: Full-Time Salary Range: $100,000 - $120 ... Strong SQL skills for data transformation and analysis * Experience working in distributed data ...

Black Cape

Python Data Engineer

Tampa, FL · On-site

Python Data Engineer (Entry - Mid Level) Location: Tampa, FL Onsite: Expected to go onsite (into a ... Come join us to work on cloud-native full-stack web applications, advanced data analysis tools, and ...

Vitol

Python Data Engineer

Houston, TX · On-site

They are seeking a talented Python Data Engineer to enhance their data assets and support analytical capabilities, working closely with traders, analysts, and data scientists. Responsibilities : • ...

Diverse Lynx

Python Data Engineer

Houston, TX · On-site

Design, Develop and troubleshoot Python based data pipelines for market risk analytics * Implement data quality controls and optimize performance for batch and near-real-time workflows * Collaborate ...

Black Cape

Python Data Engineer

Tampa, FL · On-site

Python Data Engineer (Entry - Mid Level) Location: Tampa, FL Onsite: Expected to go onsite (into a ... Come join us to work on cloud-native full-stack web applications, advanced data analysis tools, and ...

Info Way Solutions

Python Data Engineer

Fremont, CA · On-site

Python With Data Engineer Client: Mizuho Bank Location: New York city, NY - Hybrid Duties • ... analysis tools (Pytest, Pylint) • Strong SQL skills • Familarity with SSIS • Strong ...

Purple Drive

Senior Python Data Engineer

Dallas, TX · On-site

$120K - $162K/yr

Job Title Senior Python Data Engineer Location Dallas, TX (Hybrid - 3 days/week onsite) Experience ... Strong problem-solving and analytical skills * Ability to work independently and in cross ...

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How much do python data analyst jobs pay per year?

As of Jul 7, 2026, the average yearly pay for python data analyst in the United States is $82,640.00, according to ZipRecruiter salary data. Most workers in this role earn between $62,500.00 and $97,000.00 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.
More about Python Data Analyst jobs
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Python Data Analyst jobs near you
Infographic showing various Python Data Analyst job openings in the United States as of July 2026, with employment types broken down into 1% Locum Tenens, 1% Internship, 86% Full Time, 6% Part Time, 1% Temporary, and 5% Contract. Highlights an 82% Physical, 5% Hybrid, and 13% Remote job distribution, with an average salary of $82,640 per year, or $39.7 per hour.
Python Data Engineer

Python Data Engineer

Software Technology Inc

Remote

Other

Posted 7 days ago

Job description

Python Data Engineer

This team supports data analytics for HEDIS. They have a Python engine which reports HEDIS standards for each year. Code runs on big data and cloud

Day To Day:

  • Supporting data analytics for HEDIS
  • Python development for data pipelines

Must Haves:

  • 3-5 years of Python experience – should have experience with Pandas and NumPy
  • Focus on the data analytics side rather than development
  • Very critical for them to have core python skills.
  • Azure
  • SQL
  • Exposure to Big Data tools – Oozie, Sqoop, etc

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