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Python Data Analyst Jobs (NOW HIRING)

ClifyX

senior python developer

Hartford, CT · On-site

$122K - $164K/yr

Good data analysis skills * Should have good exposure on data insights/mining methodologies ... Python, Data Analysis * Good to have: Big Data Spark, Hive, MongoDB elastic

ConnectPrep

Data Analyst Internship

Washington, DC · Remote

SQL, Python data tools (Pandas, NumPy, or similar) * Building simple data pipelines or analysis scripts in Python * Excel & analysis skills * You are comfortable doing serious work in Excel ...

ConnectPrep

Data Analyst Internship

Washington, DC · On-site +1

SQL, Python data tools (Pandas, NumPy, or similar) * Building simple data pipelines or analysis scripts in Python * Excel & analysis skills * You are comfortable doing serious work in Excel ...

ConnectPrep

Data Analyst Internship

Washington, DC · On-site +1

SQL, Python data tools (Pandas, NumPy, or similar) * Building simple data pipelines or analysis scripts in Python * Excel & analysis skills * You are comfortable doing serious work in Excel ...

Excelhire

Data Analyst

Los Angeles, CA

$32/hr

Data Analyst - Join Our Team Data Analyst Los Angeles, CA | Full-Time | CTC, W2 Job Summary We are ... Basic knowledge of Python or R (preferred) Skills * Primary skills: Excel, SQL, data visualization ...

Hirekeyz Inc

Data QE

Tampa, FL · On-site

$108K - $129K/yr

Data Analyst who is ready to work on QE side with Java/Python * Data Engineers - Who is ready to do QE role with Java/Python * SQL query writing & programming (Java/Python) * Java/Python plays a role ...

Group Nine

Data Analyst

Washington, DC · On-site

Boston or Washington DC area Data Analyst (Python, SQL, understanding of database structure on Snowflake, Understanding of Data Vault 2.0 Concepts, familiar with Hub link and satellite, AWS Knowledge

Walmart

Principal Data Analyst

Bentonville, AR · On-site

$113K - $180K/yr

Principal Data Analyst Job Location: 811 Excellence Dr., Bentonville, AR 72712 Duties: Drives the ... Multiple data visualization tools (for example, Python, R libraries,GGplot, Matplotlib,Ploty ...

NuView Analytics

Data Analyst

Denver, CO · Remote

$80K - $100K/yr

We do this in three ways - data analytics, data diligence, and fractional data science. Our clients ... R or Python experience a plus * Tableau, PowerBI, or Looker Proficiency including advanced ...

Samprasoft

Data Engineer - AWS, Python, SQL

Boston, MA · On-site

$124K - $149K/yr

... analytics space. 1-2 years of experience in developing data applications in Cloud (AWS). Extensive experience in Object Oriented Programming (Java, Scala, Python), data movement technologies (ETL/ELT ...

Procter & Gamble

Data Analyst

Mason, OH · On-site +1

Proficiency in data analysis tools such as Python, R, SQL, and Excel * Knowledge of statistical methods and data modeling * Expertise in data cleaning and preprocessing techniques * Data ...

iNovex Information Systems

Data Analyst 2

Annapolis, MD · On-site

$110K - $160K/yr

Job Brief Python, AI/ML frameworks RealmOne was built on the principle that people matter first and ... They analyze telemetry data from these systems to establish statistical baselines and create ...

Capgemini

GCP Python Data Engineer

Edison, NJ · On-site

$116K - $139K/yr

... analytics, reporting, and machine learning workloads Optimize performance and cost of data ... Python Automate workflows and orchestration using Cloud Composer (Airflow) Implement CI/CD ...

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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.

Lead Data Analyst (SAS & Python)

Nastech Global

Irving, TX • On-site

Full-time

Re-posted 17 days ago

Job description

Job Title: Lead Data Analyst (SAS & Python)
Location: Irving, TX(Onsite)
Job Type: Full Time
 
Job Description
 Data Governance Knowledge, SAS, Python, SQL, Mortgage Banking
Roles & Responsibilities
•              Should have expertise in working with Python
•              Understand the current data processing, flow and business logic applied in SAS dataset.
•              Work on the data issues identified for Business and Technology processes as part of the DCRM work.
•              Understand existing artifacts like Data Models, metadata, DQ practices, Data Lineage etc.
•              Assist in root cause analysis for the Data Concern identified.
•              Act as liaison between business function stakeholders and technology teams to elicit, analyze, document, communicate and validate.
•              Should be able to drive the datahub migration project from SAS to Python
•              Should be able to lead and direct a team of Data Analysts