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Python Data Analysis Jobs (NOW HIRING)

Good data analysis and SQL skills and very good with large data crunching. Minimum 5 years of hands ... Hands-on experience in Scripting Languages (Python). Experience in troubleshooting code and logs.

Need good Data analysis and sql skills and very good with large data crunching • Minimum 5 years ... Python) • Experience in troubleshooting code and logs • Excellent interpersonal and ...

Python (data manipulation, analysis & visualization), Tableau (visualization), SQL (queries & data extraction from relational databases) 4+ years of experience Must sit onsite in McLean, VA hybrid ...

Python (data manipulation, analysis & visualization), Tableau (visualization), SQL (queries & data extraction from relational databases) 4+ years of experience Must sit onsite in McLean, VA hybrid ...

Sr Data Analyst

Irving, TX

$82.60K - $104.20K/yr

... analysis, validation, and automation, contributing to the overall efficiency and accuracy of our data processes. Responsibilities include Developing Python scripts to automate validations for data ...

Data Analyst

Brooklyn, NY · On-site

$65K - $75K/yr

Data Analysis & Reporting: Analyze large, complex datasets using SQL, SAS, or R to identify health ... Strong skills in SQL, data visualization tools, and statistical software (SAS, R, or Python) * Data ...

Data Analysis & Reporting: Analyze large, complex datasets using SQL, SAS, or R to identify health ... Strong skills in SQL, data visualization tools, and statistical software (SAS, R, or Python) * Data ...

Data Extraction, Wrangling and Analysis in Python * Strong SQL querying skills * Attention to detail Preferred: * Strong Python data management programming skills * Data Visualization experience with ...

... Python Lead data science projects from concept to implementation ensuring timely delivery and quality outcomes * Perform exploratory data analysis to identify patterns trends and opportunities for ...

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Python Data Analysis information

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How much do python data analysis jobs pay per hour?

As of Jun 3, 2026, the average hourly pay for python data analysis in the United States is $58.62, according to ZipRecruiter salary data. Most workers in this role earn between $48.32 and $66.59 per hour, depending on experience, location, and employer.

What is a Python Data Analysis job?

A Python Data Analysis job involves using Python programming to collect, clean, analyze, and visualize data for insights and decision-making. Professionals in this role use libraries like Pandas, NumPy, and Matplotlib to manipulate datasets and perform statistical analysis. They may work in various industries, solving business problems, identifying trends, and supporting data-driven strategies. Strong programming skills, data wrangling expertise, and knowledge of analytical techniques are essential for success in this field.

What are the key skills and qualifications needed to thrive in the Python Data Analysis position, and why are they important?

To thrive in a Python Data Analysis role, you need strong proficiency in Python programming, statistical analysis, and data wrangling, often backed by a degree in computer science, mathematics, or a related field. Familiarity with tools such as Pandas, NumPy, Jupyter Notebook, and visualization libraries like Matplotlib or Seaborn, along with potential certifications in data analysis or Python, is highly valuable. Analytical thinking, attention to detail, and effective communication help translate complex data findings into actionable insights for stakeholders. These capabilities are crucial for transforming raw data into meaningful information that supports business decision-making.

What are the typical responsibilities of someone working in Python Data Analysis?

Professionals in Python Data Analysis are usually responsible for collecting, cleaning, and analyzing datasets to uncover trends and inform business strategies. Their daily tasks often include writing Python scripts, visualizing data, conducting statistical analyses, and preparing reports that summarize their findings for both technical and non-technical audiences. Collaboration with data engineers, business analysts, and project managers is common, ensuring that data solutions align with organizational goals. This role offers opportunities to build expertise in specialized areas, such as machine learning or business intelligence, and can lead to career advancement in data science or analytics leadership positions.
What cities are hiring for Python Data Analysis jobs? Cities with the most Python Data Analysis job openings:
What are the most commonly searched types of Python Data Analysis jobs? The most popular types of Python Data Analysis jobs are:
What states have the most Python Data Analysis jobs? States with the most job openings for Python Data Analysis jobs include:
Infographic showing various Python Data Analysis job openings in the United States as of May 2026, with employment types broken down into 77% Full Time, 19% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $121,932 per year, or $58.6 per hour.

Full-time

Posted 14 days ago


Job description

Overview:
Job Description:
  • Design and develop high quality and high performance MicroServices using AWS Services.
  • Develops unit tests and provides code coverage to accurately test business logic and functionality
  • Solves or recommends solutions for complex issues and problems
  • Collaborate with UX/UI designers to implement design into the code
  • Handle last level support for code deployments in all environments.
  • Brainstorm new ideas and ways to improve development delivery.
  • Consult with peers for feedback during testing stages.
  • Build, maintain, and monitor configuration standards.
  • Follow all best practices and procedures as established by the organization.
  • Should be flexible and demonstrate a willingness to learn and adapt
  • Documents designs, issues, and solutions as needed
  • Actively engages improving software delivery through DevOps and other Agile practices

Minimum Qualifications:
  • Strong Experience with 12+ years working on Python in AWS.
  • Solid experience with Python frameworks
  • Experience with several AWS Services such as AWS API Gateway, AWS Lambda, Stepfunctions, ElasticSearch/OpenSearch.
  • Experience in modelling data/access patterns in Postgres or similar DB.
  • Experience in writing and executing PyTest or similar unit tests.
  • Well versed with creating and consuming RESTFUL APIs.
  • Knowledgeable about creating cloud formation templates.
  • Strong Analytical Skills.
  • Able to perform SQL Queries against a relational database.

Experience in using X-Ray and Cloudwatch Logs to triage issues with services. Demonstrated ability to learn new technologies quickly and be a self-starter.