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Python Data Analyst Jobs (NOW HIRING)

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 ...

Aptino

Pharma Data Analyst

Cambridge, MA

Python & Data Analysis Pharma/Clinical/ Healthcare/Life Sciences domain experience (Mandatory) * Power BI / Qlik / Reporting tools * Data modeling, reporting, and dashboard development ...

Covetus, LLC

Data Analyst

Jersey City, NJ · On-site

Programming Languages • Python Data Formats • XML, JSON, Parquet, Avro, Protobuf - Familiarity with multiple serialization/storage formats Data & Query • SQL - Strong query building, analysis ...

Acunor Infotech

Data Product Analyst

Manhattan, NY · On-site +1

Strong SQL skills with working knowledge of Python * Experience with QA/UAT and data validation ... Experience with analytics reporting and business analysis * Strong stakeholder communication 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

Pyspark/Python Data Engineer

Edison, NJ · On-site

$116K - $139K/yr

... teams (Data Analysts, Architects, DevOps) • Contribute to CI/CD pipelines and deployment ... in Python (data processing, performance tuning, modular coding) • Solid understanding of ETL ...

Diverse Lynx

Pyspark/Python Data Engineer

Irving, TX · On-site

$106K - $127K/yr

... teams (Data Analysts, Architects, DevOps) • Contribute to CI/CD pipelines and deployment ... in Python (data processing, performance tuning, modular coding) • Solid understanding of ETL ...

Diverse Lynx

Pyspark/Python Data Engineer

Tampa, FL · On-site

$108K - $129K/yr

... Python Data Engineer to design and maintain ETL/ELT pipelines. The role involves developing ... teams (Data Analysts, Architects, DevOps) • Contribute to CI/CD pipelines and deployment ...

Vitol

Python Data Engineer

Houston, TX · On-site

... motivated Python Data Engineer to help us expand our data assets in support of our analytical ... This role will have the opportunity to interface directly with our traders, analysts, researchers ...

Vitol

Python Data Engineer

Houston, TX · On-site

... motivated Python Data Engineer to help us expand our data assets in support of our analytical ... This role will have the opportunity to interface directly with our traders, analysts, researchers ...

Diverse Lynx

PySpark/Python Data Engineer

Irving, TX · On-site

$106K - $127K/yr

... Data Analysts, Architects, and DevOps teams • Support CI/CD implementation and deployment ... API) • Advanced Python programming skills with focus on data processing and performance ...

Diverse Lynx

Pyspark/Python Data Engineer

Irving, TX · On-site

$106K - $127K/yr

... teams (Data Analysts, Architects, DevOps) • Contribute to CI/CD pipelines and deployment ... in Python (data processing, performance tuning, modular coding) • Solid understanding of ETL ...

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How much do python data analyst jobs pay per year?

As of Jun 16, 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.

Are Python coders still in demand?

Python data analysts are currently in high demand due to the language's versatility in data analysis, machine learning, and automation. Skills in libraries like Pandas, NumPy, and experience with data visualization tools increase employability across various industries.

Is 40 too old to become a data analyst?

Age is not a barrier to becoming a data analyst. Many professionals successfully transition into data analysis at various ages by acquiring skills in programming languages like Python or SQL, and gaining experience with data visualization tools. Employers value skills and experience over age, and continuous learning can help you stay competitive in the field.

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 useful for data analysts?

Python is highly useful for data analysts as 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.

Will AI replace data analysts?

AI is transforming the role of data analysts by automating routine tasks such as data cleaning and basic analysis, but it is unlikely to fully replace them. Data analysts are needed to interpret complex insights, make strategic decisions, and develop models that require domain expertise and critical thinking. Skills in programming, data visualization, and understanding AI tools remain valuable in this evolving field.
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Python Data Analyst jobs near you
Infographic showing various Python Data Analyst job openings in the United States as of June 2026, with employment types broken down into 3% As Needed, 33% Full Time, 53% Part Time, 10% Contract, and 1% Nights. Highlights an 81% Physical, 8% Hybrid, and 11% Remote job distribution, with an average salary of $82,640 per year, or $39.7 per hour.

Python Data Analyst-F2F Interview

Vkore Solutions

San Ramon, CA • On-site

Contractor

Posted 18 days ago

Job description

Primary: Python, SQL, PL/SQL, Snowflake, Data Analysis

Secondary: AWS, Glue, Control-M, Informatica, Jira/Agile, Power Platform (nice to have)

Soft Skills: Independent contributor, lead meetings, strong communication, collaboration

Others: CRM knowledge, data Modeling, DB design