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Python Data Analyst Jobs (NOW HIRING)

Apolis

SQL / Python Data Analyst

Redmond, WA · On-site

SQL / Python Data Analyst Location: Redmond WA (Hybrid) Duration: 6+ months contract (possible extension) W2, & without sponsorship now and in future. Primary Responsibilities * Develop, maintain ...

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 ...

Black Cape

Python Data Engineer

Tampa, FL · On-site

$70 - $90/hr

  • Retirement

Python Data Engineer (Entry - Mid Level) Location: Tampa, FL Onsite: Expected to go onsite (into a ... Black Cape is a technology company focused on full‑stack web applications, advanced data analysis ...

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Python Data Analyst information

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$34K

$82.6K

$136K

How much do python data analyst jobs pay per year?

As of Aug 19, 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.

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.
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Python Data Analyst jobs near you
Infographic showing various Python Data Analyst job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $82,640 per year, or $39.7 per hour.

SQL / Python Data Analyst

Apolis

Redmond, WA • On-site

Other

This job post has expired today. Applications are no longer accepted.

Job description

Position: SQL / Python Data Analyst
Location: Redmond WA (Hybrid)
Duration: 6+ months contract (possible extension)
W2, & without sponsorship now and in future.
Primary Responsibilities
  • Develop, maintain, and enhance staffing and workforce planning models.
  • Build and optimize data pipelines using Azure Data Factory (ADF) and related Azure services.
  • Develop analytical solutions and automation using SQL and Python.
  • Manage and support Azure SQL environments, including database administration, monitoring, and performance tuning.
  • Support data integrations, ETL processes, and reporting solutions.
  • Work with tabular data models, including SSAS cubes.
  • Ensure data quality, reliability, and scalability across planning and reporting platforms.
  • Partner with business stakeholders to translate workforce planning requirements into analytical solutions.
Required Skills
  • Advanced SQL development and database design expertise.
  • Strong Python programming skills for data analysis, automation, and data engineering tasks.
  • Experience with Azure SQL Database administration, performance tuning, and troubleshooting.
  • Azure Data Factory (ADF) pipeline development and maintenance experience.
  • Experience building and maintaining analytical and forecasting models.
  • Familiarity with SQL Server Analysis Services (SSAS) cubes and dimensional modeling.
  • Understanding of Azure data platform services and cloud-based data architectures.
  • Strong analytical, troubleshooting, and communication skills.

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