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Python Data Analyst Jobs in North Carolina (NOW HIRING)

DPDHL

Business Data Analyst II

Winston Salem, NC · On-site

$55K - $90K/yr

The Business Data Analyst II role has a national salary range of $55,000 - $90,000. For roles ... Hands-on experience using SQL or other scripting languages (such as Python or R) to query, clean ...

DHL

Business Data Analyst II

Winston Salem, NC · On-site

$55K - $90K/yr

The Business Data Analyst II role has a national salary range of $55,000 - $90,000. For roles ... Hands-on experience using SQL or other scripting languages (such as Python or R) to query, clean ...

Credible

BI Data Analyst III

Durham, NC

$90K - $118K/yr

Experience with a scripting language (preferably Python) for data processing and analysis a plus * Prior experience in the insurance industry or at a startup preferred Must have: * An investigative ...

VHB

Senior Transportation Data Analyst

Raleigh, NC

$98K - $148K/yr

Data manipulation skills using various scripting languages like Python or R. * Strong ETL process ... Minimum of 3+ years of experience with advanced analytics in the engineering/transportation ...

Kanak Elite Services Inc

Data and AI Analyst

Cary, NC · On-site

Data and AI Analyst Location: Cary, NC (Hybrid) Duration: Long term Technically skilled Data and AI ... with Python, R, SQL, or other data programming languages. • Understanding of ethical AI, data ...

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All JobsPython Data Analyst JobsPython Data Analyst Jobs in North Carolina

Python Data Analyst information

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$30.9K

$75.1K

$123.6K

How much do python data analyst jobs pay per year?

As of Jun 12, 2026, the average yearly pay for python data analyst in North Carolina is $75,103.00, according to ZipRecruiter salary data. Most workers in this role earn between $56,800.00 and $88,200.00 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
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What are popular job titles related to Python Data Analyst jobs in North Carolina? For Python Data Analyst jobs in North Carolina, the most frequently searched job titles are:
What job categories do people searching Python Data Analyst jobs in North Carolina look for? The top searched job categories for Python Data Analyst jobs in North Carolina are:
What cities in North Carolina are hiring for Python Data Analyst jobs? Cities in North Carolina with the most Python Data Analyst job openings:
Python Data Analyst jobs near you
GSS Data Analyst

GSS Data Analyst

Westinghouse Electric Company, LLC

Cranberry, NC • Hybrid

$64K - $81K/yr

Other

Medical, Dental, Vision, Retirement, PTO

Posted 17 days ago

Job description

Are you interested in being part of an innovative team that supports Westinghouse's mission to provide clean energy solutions? At Westinghouse, we recognize that our employees are our most valuable asset and we seek to identify, attract and recruit the most qualified talent while recognizing and encouraging the value of diversity in the global workplace.

About the role:

As a GSS Data Analyst you will prepare data to be used by the Business Reporting & Analytics (BR&A) team across multiple areas of reporting. You will gather requirements from stakeholders and complete data transformation according to those requirements. You will report to the Manager, SQL & Data Manager and be located at our Cranberry Township, PA location. Hybrid Work Schedule.

Key Responsibilities:

  • Build robust data pipelines to support the gathering and transformation of data to be used by the BR&A and APX Project Management Office teams

  • Support the APX Project Management Office by meeting with stakeholders and developing analytical processes to support Business Intelligence reporting

  • Develop advanced queries to provide valuable data insight for the business

  • Create and maintain data models in an efficient manner, maximizing the use of our data and our tools

  • Develop automated programs for extracting, transforming, and loading data

  • Assist in the administration of a central data lake to be used by the BR&A team

  • Perform research and provide suggestions on technologies that could be used to boost the overall productivity of the BR&A team

  • Protect the integrity of BR&A reporting data by continually monitoring for data cleanliness and quickly identifying and resolving issues

Qualifications:

  • B.A., B.S. or equivalent business experience

  • 3+ years experience in a similar role

  • Knowledge of financial processes, controls, and associated improvement programs

  • Familiarity with systems and data quality processes

  • Knolwedge of relational databases

  • Proficient in SQL, Python, R, Java, or any similar programming language

  • Background knowledge of Databricks

  • Proficiency in Power Platform (Power Automate, Power BI, Power Query)

We are committed to transparency and equity in all of our people practices. The base salary range for this position, which is dependent upon experience, qualifications and skills, is estimated to be $64,800 to $81,000 per year.

#LI-Hybrid

Why Westinghouse?

Our benefits package is tailored to meet the diverse needs of our employees, while also promoting wellness and career growth. The following are representative of what we offer:

  • Comprehensive Medical benefits which could include medical, dental, vision, prescription coverage and Health Savings Account (HSA) with employer contributions options

  • Wellness Programs designed to support employees in maintaining their health and well-being including Employee Assistance Program providing support for our employees and their household members

  • 401(k) with Company Match Contributions to support employees' retirement

  • Paid Vacations and Company Holidays

  • Opportunities for Flexible Work Arrangements to promote work-life balance

  • Educational Reimbursement and Comprehensive Career Programs to help employees grow in their careers

  • Global Recognition and Service Programs to celebrate employee accomplishments and service

  • Employee Referral Program

Westinghouse Electric Company is the global nuclear energy industry's first choice for safe, clean, and efficient energy solutions. We enable our delivery of this vision by living our value system:

  • Safety and Quality

  • Integrity and Trust

  • Customer Focus and Innovation

  • Speed and Passion to Win

  • Teamwork and Accountability

While our Global Headquarters are located in Cranberry Township, PA, we have over 11,000 employees working at locations in 19 different countries. You can learn more by visiting http://www.westinghousenuclear.com.

Westinghouse is an Equal Opportunity Employer including Veterans and Individuals with Disabilities

Get connected with Westinghouse on social media: Twitter | Facebook | LinkedIn| YouTube

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