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Python Data Analyst Jobs (NOW HIRING)

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 ...

Using Power BI, SQL, and Python, you will develop high-quality reports and dashboards, ensure data integrity, and work closely with cross-functional teams to deliver accurate, actionable analysis ...

Use Python for data analysis, automation, and basic machine learning tasks. * Build predictive models and perform statistical analysis using Machine Learning techniques. * Collaborate with business ...

The ideal candidate will have strong expertise in Power BI, SQL, Python, and statistical analysis ... data-informed decision-making. Key Responsibilities • Analyze and interpret large datasets to ...

Data Analyst Location: Charlotte, NC Mode Of Work: Hybrid It's a W2 role * Develop analytics ... Write python scripts to develop ETL jobs Required Skills (top 3 non-negotiables): * Looker and ...

Senior Data Analyst

Quantico, VA

$91K - $114K/yr

Utilize Python, R, and other scripting languages for data analysis and automation * Apply data mining, graph algorithms, and statistical techniques to support mission objectives * Work with SQL and ...

Data Analyst

Hurlburt Field, FL · On-site

$58K - $141K/yr

Role The Senior Data Analyst in this role will be at the core of support for AFSOC data initiatives ... Familiarity with Python, PowerBI, Advana, or Envision * Top Secret clearance eligible for SCI is ...

Proficiency in SQL, Python, R, or other data analysis tools. * Experience with data visualization platforms like Tableau, Power BI, or Google Data Studio. * Strong understanding of statistical ...

Data Analyst

Hurlburt Field, FL · On-site

$58K - $138K/yr

Role This role is for a Data Analyst on a close-knit team supporting Air Force Special Operations ... Familiarity with Python, PowerBI, Advana, or Envision * Top Secret clearance eligible for SCI is ...

Data Analyst

Hurlburt Field, FL · On-site

$58K - $138K/yr

Role This role is for a Data Analyst on a close-knit team supporting Air Force Special Operations ... Familiarity with Python, PowerBI, Advana, or Envision * Top Secret clearance eligible for SCI is ...

... Python Hands-on experience with Databricks Healthcare domain experience in Claims, Membership, Clinical, Provider, or Revenue Cycle data Experience in data analysis, validation, profiling, and ...

Ensure data accuracy, completeness, usability, and consistency * Partner with data engineering to ... Query and validate complex datasets using SQL and Python * Analyze large datasets to identify ...

Senior Data Analyst

Quantico, VA · On-site

$91K - $114K/yr

Utilize Python, R, and other scripting languages for data analysis and automation * Apply data mining, graph algorithms, and statistical techniques to support mission objectives * Work with SQL and ...

Perform data analysis to explain trends, anomalies, and root causes ... Write and execute queries to pull data from multiple sources (SQL, Python). * Apply statistical ...

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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 6, 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.

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 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 are 10 careers related to Python Data Analyst?

Careers related to a Python Data Analyst include Data Scientist, Business Intelligence Analyst, Data Engineer, Data Architect, Quantitative Analyst, Machine Learning Engineer, Data Consultant, Data Operations Manager, Data Warehouse Developer, and Research Analyst. These roles often require skills in programming, data visualization, and statistical analysis, and may involve working with tools like SQL, Tableau, or cloud platforms.

What is the salary of a Python Data Analyst?

The salary of a Python Data Analyst typically ranges from $60,000 to $100,000 annually, depending on experience, location, and industry. Professionals with strong skills in Python, data visualization, and statistical analysis tend to earn higher salaries, especially in tech hubs or large organizations.
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:
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, 83% Full Time, 12% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $82,640 per year, or $39.7 per hour.

Data Analyst

Procter & Gamble

Mason, OH • On-site, Remote

Contractor

Re-posted 13 days ago


Procter & Gamble rating

8.3

Company rating: 8.3 out of 10

Based on 163 frontline employees who took The Breakroom Quiz

68th of 536 rated manufacturers


Job description

A Data Analyst collects, cleans, and analyzes data to identify trends and patterns that inform business decision-making. They work with large datasets, employing statistical methods, data visualization techniques, and machine learning tools to uncover actionable insights. Data Analysts play a crucial role in helping businesses make informed decisions about their products, services, and marketing campaigns.
Job duties include collecting and cleaning data from various sources, performing data analysis using statistical methods and software, creating reports and presentations to communicate findings, and developing data-driven solutions to business problems.
Skills and Qualifications
  • Strong analytical and problem-solving skills
  • 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 visualization proficiency using tools like Tableau or Power BI
  • Strong problem-solving skills for data-related challenges
  • Excellent communication skills to convey complex data insights to non-technical stakeholders

Optional skills that may be helpful for a Data Analyst include programming skills in languages such as Python or R, knowledge of machine learning and artificial intelligence techniques, experience with cloud computing platforms, and domain knowledge in specific industries.
A Data Analyst should have the ability to work independently and as part of a team, exhibit attention to detail, and possess a strong curiosity and passion for data analysis. They play a critical role in uncovering insights that drive effective decision-making and business success.
Job Description: A Database Administrator (DBA) is responsible for the installation, configuration, maintenance, and security of database systems. They ensure databases are available, reliable, and performant. DBAs also work to protect databases from unauthorized access and data breaches.
Skills Needed: - Strong understanding of database concepts and technologies, such as relational databases, SQL, and database management systems - Experience with database administration tools and utilities - Ability to work with large datasets and complex queries - Excellent problem-solving and troubleshooting skills - Ability to work independently and as part of a team - Optional skills: Programming skills (Python, R), knowledge of cloud computing platforms, domain knowledge in relevant industries
P&G's freelancer opportunities are for project-based or other short-term engagements that require specialized skills. Successful candidates for freelancer opportunities will not be considered employees of The Procter & Gamble Company or any of its subsidiaries nor will candidates be eligible for employment benefits. Candidates looking for regular full-time employment opportunities should begin their search here: pgcareers.com.
  • Published on 24 Jun 2026, 12:39 AM

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Hours and flexibility

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About Procter & Gamble

Sourced by ZipRecruiter

Procter & Gamble (P&G), based in Cincinnati, OH, US, is a multinational consumer goods corporation. The company operates in the Consumer Discretionary sector and has a presence in various industries including Beauty, Health Care, Grooming, Fabric & Home Care, and Baby, Feminine & Family Care. Since its foundation by William Procter and James Gamble in 1837, P&G has grown to become a leading player in the consumer goods market. The corporation prides itself on its core values of leadership, ownership, integrity, passion for winning, and trust. They aim to improve consumers' lives in small but significant ways, with a mission to provide branded goods and services of superior quality and value.

Industry

Health and personal care stores

Company size

10,000+ Employees

Headquarters location

Cincinnati, OH, US

Year founded

1837