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Python Data Analyst Jobs (NOW HIRING)

ConnectPrep

Data Analyst Internship

Boston, MA · 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 ...

Aptive

$85K - $108K/yr

Monitor and validate RMA, ServiceNow, and Power Apps data pipelines; proactively surface anomalies, perform rootcause analysis (SQL/R/Python), and drive remediation with CPMO/OCI owners. * Define and ...

ConnectPrep

Data Analyst Internship

Boston, MA · 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 ...

Aptive

Senior Data Analyst

$88K - $111K/yr

Monitor and validate RMA, ServiceNow, and Power Apps data pipelines; proactively surface anomalies, perform root-cause analysis (SQL/R/Python), and drive remediation with CPMO/OCI owners. * Define ...

ConnectPrep

Data Analyst Internship

Boston, MA · 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 ...

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 ...

CVS Health

Lead Python Developer, Data Analytics

Cary, IL · On-site +1

$67K - $199K/yr

... Python to develop new reporting and analytics using healthcare data (medical, pharmacy, lab) Create business applications to deliver clinical or analytic solutions to constituents in a self-service ...

Doximity

Data Scientist

San Francisco, CA · On-site +1

$110K - $150K/yr

Proficient in using Python data analysis libraries such as Pandas and Numpy. Also has a basic understanding of the object-oriented programming concepts as it relates to Python. * Prior exposure to ...

Doximity

Data Scientist

San Francisco, CA · On-site +1

$110K - $150K/yr

Proficient in using Python data analysis libraries such as Pandas and Numpy. Also has a basic understanding of the object-oriented programming concepts as it relates to Python. * Prior exposure to ...

CVS Health

Lead Python Developer, Data Analytics

Phoenix, AZ · On-site +1

$67K - $199K/yr

... Python to develop new reporting and analytics using healthcare data (medical, pharmacy, lab) Create business applications to deliver clinical or analytic solutions to constituents in a self-service ...

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 ...

NuView Analytics

Data Analyst

Denver, CO · Remote

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

Roanoke, TX

$109K - $132K/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 ...

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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 Jun 17, 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.

Are Python coders still in demand?

Python data analysts are currently in high demand due to the language's versatility in data analysis, machine learning, and automation. Skills in libraries like Pandas, NumPy, and experience with data visualization tools increase employability across various industries.

Is 40 too old to become a data analyst?

Age is not a barrier to becoming a data analyst. Many professionals successfully transition into data analysis at various ages by acquiring skills in programming languages like Python or SQL, and gaining experience with data visualization tools. Employers value skills and experience over age, and continuous learning can help you stay competitive in the field.

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 useful for data analysts?

Python is highly useful for data analysts as 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.

Will AI replace data analysts?

AI is transforming the role of data analysts by automating routine tasks such as data cleaning and basic analysis, but it is unlikely to fully replace them. Data analysts are needed to interpret complex insights, make strategic decisions, and develop models that require domain expertise and critical thinking. Skills in programming, data visualization, and understanding AI tools remain valuable in this evolving field.
More about Python Data Analyst jobs
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 job categories do people searching Python Data Analyst jobs look for? The top searched job categories for Python Data Analyst jobs are:
Python Data Analyst jobs near you
Infographic showing various Python Data Analyst job openings in the United States as of June 2026, with employment types broken down into 3% As Needed, 33% Full Time, 53% Part Time, 10% Contract, and 1% Nights. Highlights an 81% Physical, 8% Hybrid, and 11% Remote job distribution, with an average salary of $82,640 per year, or $39.7 per hour.

Data Analyst

Wind Turbine and Energy Cables

Hasbrouck Heights, NJ • On-site

Full-time

Medical, Dental, Vision, Life, Retirement

Posted 13 days ago

Job description

COMPANY PROFILE: At WTEC Energy, we help bring power to millions of people and businesses across the United States. Headquartered in Hasbrouck Heights, NJ, we are a leading manufacturer servicing the energy market with locations in 4 states. WTEC Energy is a privately held company committed to providing innovative, sustainable energy products and solutions for today and tomorrow.

We service and support diverse markets including: Renewables (Solar and Wind), Electric Utility (Transmission, Substation and Distribution), Oil & Gas (Refineries and Production), Communications (Fiber Optic), Industrial OEM (Wind Turbine) and Petrochemical.

WTEC Energy is a Minority Business Enterprise (MBE) that promotes a positive work environment where individual contributions, innovation, and cultural diversity are valued. We are proud to offer competitive compensation and employee benefits with significant career growth potential.

COMPANY WEBSITE: http://www.wtecenergy.com

What do we expect from Data Analyst?

Having enough raw data will not help the business reach their goals but making sense with data is .Data Analysts do more than merely presenting numbers and figures to management. They take more in-depth approach to recording, analyzing raw data for insights and trends , obstructing meaningful information , and presenting the findings in an easy format.

The responsibilities of a data analyst often include:

  • Designing and maintaining data systems and databases, including troubleshooting potential issues
  • Mining and cleaning data in preparation for analysis
  • Source and query data required for both ongoing business intelligence efforts and larger-scale data science projects.
  • Draw meaningful insights from large datasets
  • Support daily reporting on core business functions.
  • Use visualization tools to present complex data in a simple, engaging manner.
  • Assist in the management of long-term data projects. Effectively communicate with business stakeholders.
  • Identify opportunities for new data projects. Ask smart questions, diagnose the real problem, and develop a long-term solution.
  • Preparing reports which effectively communicate their findings to organizational leadership and key stakeholders

Required qualifications

  • The candidate must have a strong background in computer science, engineering, mathematics
  • 3+ years’ experience with data extraction, manipulation, and presentation in a usable format
  • Technical experience that involves querying and manipulating data to address business problems
  • MySQL and SQL Server: proficient with complex queries
  • MS Excel: advanced proficiency (Pivot Tables, Pivot Charts, AutoFilter, Macro, VBA, and Advanced Formulas
  • -MS Access: proficient with loading data, writing queries and manipulating data
  • Power BI
  • Experience in common analytics tools (SQL, Tableau, Adobe/Google Analytics)
  • Knowledge of coding languages (i.e. R, Python)
  • data visualization and presentation skills,
  • Interest in more advanced topics in analytics (machine learning, artificial intelligence)

Work Environment

This job operates in a professional office setting. This role uses standard office equipment such as computers, phones, photocopiers, filing cabinets and fax machines to perform day to day duties and activities.

Physical Demands

The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job.

While performing the duties of this job, the employee is regularly required to talk or hear. The employee frequently is required to stand; walk; use hands to finger, handle or feel; and reach with hands and arms.

Benefits

We offer our employees a competitive salary and benefits package, which includes a comprehensive Medical, Vision, and Dental Plan, Company paid Life and Disability Insurance, 401(k) Plan, and Education/Certification assistance.

WTEC Energy is an equal opportunity employer. We recognize the power and importance of a diverse employee population and strongly encourage applicants with various experiences and backgrounds