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Python Data Analyst Jobs (NOW HIRING)

The role typically involves technologies such as SQL, Python, Data Visualization, Excel, Medical ... This role combines advanced analytics, Tableau reporting, and emerging AI‑driven solutions to ...

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 ...

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 ...

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 ...

Data Analyst

Trenton, NJ · On-site

$45 - $50/hr

Proficiency in Snowflake, SQL and Python required. Execute complex data requests, perform deep-dive profiling, & resolve data discrepancies to support. Complete Description: * The Data Analyst is ...

Proficiency in Snowflake, SQL and Python required. Execute complex data requests, perform deep-dive profiling, & resolve data discrepancies to support client. Complete Description: The Data Analyst ...

Proficiency in Snowflake, SQL and Python required. Execute complex data requests, perform deep-dive profiling, & resolve data discrepancies to support. Complete Description: * The Data Analyst is ...

Data Analyst

Baltimore, MD · On-site +1

$75K - $110K/yr

Use analytical tools, SQL, Python, Excel, BI/reporting platforms, and other approved technologies ... Interpret business data and develop clear findings, recommendations, reports, dashboards, and ad ...

Sr..Data Analyst/SAS Reporting

Hartford, CT · On-site

$86K - $109K/yr

... Python/Data Parsing - 1-3 Years/End User • Five or more years of healthcare quality data analytics experience. • Experience in working in a data warehouse environment as well as the ability to ...

... R, Python, etc) * 2+ years' experience in data analytics on any data warehouse (Oracle, SQL ... Snowflake) * Healthcare experience a plus * Agile/SAFe experience a plus Work Environment: * Remote ...

Data Analyst

Baltimore, MD · On-site

$75K - $110K/yr

Use analytical tools, SQL, Python, Excel, BI/reporting platforms, and other approved technologies ... Interpret business data and develop clear findings, recommendations, reports, dashboards, and ad ...

Use analytical tools, SQL, Python, Excel, BI/reporting platforms, and other approved technologies ... Interpret business data and develop clear findings, recommendations, reports, dashboards, and ad ...

Data Analyst

Austin, TX · On-site

$40 - $50/hr

Develop Python-based analytical solutions for data processing and automation. * Evaluate data quality and identify opportunities to improve reporting accuracy and consistency. * Create methodologies ...

Data Analyst

Denver, CO · On-site +1

$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 ...

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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 Sep 10, 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.

What cities are hiring for Python Data Analyst jobs?

Cities with the most Python Data Analyst job openings:

What are the most commonly searched types of Python Data Analyst jobs?

The most popular types of Python Data Analyst jobs are:

What states have the most Python Data Analyst jobs?

States with the most job openings for Python Data Analyst jobs include:

What are popular job titles related to Python Data Analyst jobs?

For Python Data Analyst jobs, the most frequently searched job titles are:

Infographic showing various Python Data Analyst job openings in the United States as of September 2026, with employment types broken down into 1% Internship, 1% As Needed, 83% Full Time, 12% Part Time, and 3% Contract. Highlights an 85% Physical, 3% Hybrid, and 12% Remote job distribution, with an average salary of $82,640 per year, or $39.7 per hour.

Other

Medical, Dental, Vision, Life, PTO

Posted 11 days ago


Key responsibilities

  • Lead complex analyses to identify trends, opportunities, risks, and business drivers.

  • Develop and maintain dashboards, reports, and visualizations using Tableau and related tools.

  • Write, optimize, and validate SQL queries across large and complex datasets.


Job description

Katch is hiring a remote candidate for Data Analyst. This is a full time position. Work location: USA, UK, Canada, Europe. The role typically involves technologies such as SQL, Python, Data Visualization, Excel, Medical, MEAN.

About Katch

Katch is a leading healthcare technology company specializing in payment coordination. We partner with health plans, providers, and other stakeholders to identify, recover, and prevent payment errors, helping our clients reduce costs and improve operational efficiency. We are building a growing team that thrives in a fast‑moving environment. We look for curious, resourceful problem‑solvers who are comfortable working across priorities, navigating ambiguity, and using technology to deliver results. Ideal candidates are collaborative, eager to learn, and energized by improving how work gets done.

Job Summary

We’re seeking an experienced Data Analyst who can independently transform complex data into actionable business insights that drive strategic decisions. This role combines advanced analytics, Tableau reporting, and emerging AI‑driven solutions to help stakeholders solve business challenges, improve performance, and identify growth opportunities. The ideal candidate has strong SQL and data visualization expertise, thrives in a fast‑paced environment, and enjoys owning analytical projects from end to end. This individual will partner closely with business leaders, build impactful dashboards, uncover trends and risks within large datasets, and leverage automation and AI to enhance efficiency and decision‑making.

Core Areas of Focus
  • 40% Analytics & Insights: Deliver meaningful analysis and business recommendations.
  • 40% Reporting & Tableau: Develop and maintain dashboards, reports, and visualizations.
  • 20% AI & Automation: Drive innovation through automation and AI‑enabled analytics solutions.
Key Responsibilities
  • Lead complex analyses to identify trends, opportunities, risks, and business drivers.
  • Develop and maintain dashboards, reports, and visualizations using Tableau and related tools.
  • Write, optimize, and validate SQL queries across large and complex datasets.
  • Translate business questions into analytical approaches and actionable recommendations.
  • Partner directly with stakeholders to gather requirements, prioritize work, and communicate results.
  • Identify and implement opportunities for automation and AI‑driven analytics solutions.
  • Solve moderately complex and non‑standard business problems with minimal guidance.
  • Ensure data accuracy through validation, reconciliation, and quality control processes.
  • Document methodologies, business rules, and reporting processes.
  • Serve as a resource to team members by providing guidance, knowledge sharing, and coaching.
Required Qualifications
  • Bachelor's degree in Analytics, Statistics, Computer Science, Business, or a related field.
  • 5+ years of experience in data analytics, reporting, or business intelligence.
  • Strong SQL skills and experience working with large datasets.
  • Experience developing dashboards and visualizations in Tableau.
  • Strong analytical, problem‑solving, and communication skills.
  • Ability to work independently and manage multiple priorities in a dynamic environment.
Preferred Qualifications
  • Experience with Python or other analytical tools.
  • Ability to perform with a high degree of autonomy, leading complex analytical work, solving ambiguous business challenges and translate insights into strategic recommendations.
  • Experience leveraging AI, automation, or advanced analytics solutions.
  • Healthcare, insurance, or other data‑intensive industry experience.
Location Eligibility Requirement

This position offers remote work flexibility for candidates who reside in one of our eligible hiring states: Georgia, Florida, Pennsylvania, Kentucky, Texas, Wisconsin, or Michigan.

Due to this location requirement, applicants must be located in and legally authorized to work from one of these states at the time of hire and throughout their employment.

Benefits
  • Comprehensive medical, dental, and vision coverage
  • Wellness program with resources for healthy living
  • Health Savings Account (HSA) and Flexible Spending Account (FSA) for tax‑free savings
  • Tuition reimbursement opportunities
  • Generous PTO so you can recharge
  • Paid holidays and sick time
  • Leave options to support life’s biggest moments
  • Life and Disability insurance through Unum
  • Voluntary coverage options for added peace of mind (Critical Illness, Accident, Hospital Indemnity, Legal, and Identity Protection)
  • Employee Assistance Program (EAP) for free, confidential counseling and support
  • Remote work options available for many roles
  • Flexible schedules in select positions
Equal Employment Opportunity at Katch

Katch is an equal opportunity employer and is committed to providing equal employment opportunity to all applicants and employees. We do not discriminate on the basis of race, color, ancestry, religion, sex (including pregnancy), national origin, age, disability (physical or mental), genetic information, sexual orientation, gender identity or expression, marital status, citizenship, military or veteran status, or any other characteristic protected by applicable federal, state, or local law. Katch participates in E‑Verify as required by applicable law. In accordance with applicable state and local laws, Katch does not inquire about an applicant’s salary history during the recruitment process. If you require a reasonable accommodation to complete any part of the application or recruitment process, please contact our recruiting team. For information on how we collect and use personal data, please review our Privacy Notice at www.KatchIQ.com.

For more information about Katch, visit KatchIQ.com.

Skills required for this role include SQL, Python, Data Visualization, and related tools for day‑to‑day development. Seniority level: Junior.

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