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Python Data Analyst Jobs in North Carolina (NOW HIRING)

IONNA LLC

Senior Data Analyst

Raleigh, NC · On-site

$110/hr

Write efficient, well-documented SQL and/or Python/R code for data extraction, transformation, and analysis. * Partner with data engineering teams to ensure high-quality, well-structured, and ...

IONNA LLC

Senior Data Analyst

Raleigh, NC

$110/hr

Write efficient, well-documented SQL and/or Python/R code for data extraction, transformation, and analysis. * Partner with data engineering teams to ensure high-quality, well-structured, and ...

Guilford County, NC

Senior Data Analyst

Greensboro, NC · On-site

$74K - $92K/yr

Proficiency in Python, R, or comparable languages and tools. * Experience with SQL and managing or ... data analysis and research, designing dashboards and reports, managing analytics projects ...

IONNA LLC

Senior Data Analyst

Raleigh, NC · On-site

$110/hr

Write efficient, well-documented SQL and/or Python/R code for data extraction, transformation, and analysis. * Partner with data engineering teams to ensure high-quality, well-structured, and ...

Guilford County

Senior Data Analyst

Greensboro, NC · On-site

$74K - $92K/yr

The Senior Data Analyst builds and maintains a diverse portfolio of projects, designing and ... Proficiency in Python, R, or comparable languages and tools. Experience with SQL and managing or ...

AUTO1

Business Data Analyst

Forest City, NC · On-site

Strong analytical skills (KPIs analysis) and being data-driven, managing priorities and time ... SQL or/and Python is a plus). * English C1, Portuguese B2 would be nice to have. Additional ...

GMV

Senior Data Analyst

Naples, NC · On-site +1

$82K - $103K/yr

You will collaborate with leading professionals in data analysis and processing, as well as in ... Java/Python WHAT DO WE OFFER? * Join our team and culture GMV by entering into technological and ...

Electrolux

Quality Data Analyst

Charlotte, NC · On-site

Strong proficiency in SQL and Python for data extraction, analysis, and modeling * Experience with data visualization tools such as Power BI and advanced Excel * Solid understanding of statistical ...

GMV

Internship: Data analyst

Naples, NC · On-site +1

You will collaborate with leading professionals in data analysis and processing, as well as in ... Java/Python WHAT DO WE OFFER? * Join our team and culture GMV by entering into technological and ...

AIG

Business Data Analyst

Charlotte, NC · On-site

Join us as a Business Data Analyst to play your part in that transformation. It's an opportunity to ... and Python is a plus. Exposure to APIs and understanding of XML and JSON language preferred.

Vanguard Group

Data Analyst, Senior Specialist

Charlotte, NC · On-site

$84K - $106K/yr

We are seeking an experienced data analyst to support the Flagship Client segment and the ... Demonstrates deep expertise in one or more technical domains (e.g., Python, advanced analytics ...

New

Vangard, Inc.

Data Analyst, Senior Specialist

Charlotte, NC · On-site

$84K - $106K/yr

We are seeking an experienced data analyst to support the Flagship Client segment and the ... Demonstrates deep expertise in one or more technical domains (e.g., Python, advanced analytics ...

New

Vanguard

Data Analyst, Senior Specialist

Charlotte, NC

$84K - $106K/yr

Demonstrates deep expertise in one or more technical domains (e.g., Python, advanced analytics ... Ensure data quality, integrity, and consistency; establish and enhance data quality standards ...

New

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All JobsPython Data Analyst JobsPython Data Analyst Jobs in North Carolina

Python Data Analyst information

See North Carolina salary details

$30.9K

$75.1K

$123.6K

How much do python data analyst jobs pay per year?

As of Jul 7, 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.

Will AI replace a data analyst?

AI tools can automate routine data processing and analysis tasks, but the role of a data analyst involves interpreting insights, understanding business context, and communicating findings, which require human judgment. Data analysts who develop skills in programming, data visualization, and machine learning can adapt to new technologies and continue to add value in data-driven decision-making.

Is 40 too old to become a data analyst?

Age is not a barrier to becoming a data analyst; many professionals transition into the field later in life. Success depends on acquiring relevant skills such as SQL, Python, and data visualization, along with practical experience and certifications. Employers value diverse backgrounds and experience, making it possible to start a data analyst career at any age.

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 a high paying job?

Python Data Analysts are generally well-compensated due to their technical skills in programming, data manipulation, and analysis. Salaries vary based on experience, location, and industry, but proficiency in Python often leads to higher earning potential compared to many other entry-level roles in data analysis. Certifications and knowledge of related tools like SQL or machine learning can further increase salary prospects.

Is Python useful for data analysts?

Python is highly useful for data analysts because 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.
More about Python Data Analyst jobs
What are the most commonly searched types of Python Data Analyst jobs in North Carolina? The most popular types of Python Data Analyst jobs in North Carolina are:
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
Infographic showing various Python Data Analyst job openings in North Carolina as of July 2026, with employment types broken down into 81% Full Time, 5% Part Time, and 14% Contract. Highlights an 88% In-person, 5% Hybrid, and 7% Remote job distribution, with an average salary of $75,103 per year, or $36.1 per hour.

Data Analyst (MS Technologies)

Vaco by Highspring

Charlotte, NC • On-site

Other

Dental, Vision, Retirement

Posted 13 days ago

Job description

Data Analyst

Location: Hybrid | Strong In-Office Collaboration
Industry: Manufacturing
Reports To: Head of Analytics

Build a Long-Term Career in Analytics

We''re looking for a Data Analyst who wants more than just the next job. This is an opportunity to join a stable, growing manufacturing company that values work-life balance, invests in its people, and provides the chance to build a long-term career.

You''ll become part of a close-knit analytics team where your work has visibility across the organization. Rather than being limited to a single department, you''ll partner with leaders in manufacturing, finance, logistics, marketing, and executive leadership to deliver insights that help drive the business forward.

This is an environment where people are trusted, supported, and given opportunities to grow. As you gain familiarity with the business, you''ll have the opportunity to take ownership of larger initiatives and expand your impact over time.

What You''ll Do

  • Design, develop, and maintain Power BI dashboards and reporting solutions used across the organization.
  • Write and optimize SQL queries to analyze and transform data from multiple sources.
  • Create scalable data models and calculations using DAX and the Microsoft data stack.
  • Partner with stakeholders across manufacturing, finance, logistics, marketing, and executive teams to understand reporting needs and deliver actionable insights.
  • Support analytics initiatives using tools including Power BI, Azure Analysis Services, Databricks, and SQL.
  • Assist with automation and advanced analytics efforts using Python when appropriate.
  • Help expand reporting capabilities and improve how information is delivered throughout the business.
  • Participate in emerging AI initiatives and future-focused analytics projects as the organization continues to invest in new technologies.

What We''re Looking For

  • Experience building reports and dashboards with Power BI.
  • Strong SQL skills for data extraction, analysis, and manipulation.
  • Experience with DAX and data modeling.
  • Familiarity with the Microsoft data ecosystem.
  • Strong communication skills and the ability to work effectively with both technical and business stakeholders.
  • A collaborative mindset and desire to continuously learn and grow.

Nice to Have

  • Experience with Databricks.
  • Exposure to Python for data analysis or automation.
  • Manufacturing industry experience.

Why People Stay Here

  • Stable and established company with a long-term outlook.
  • Strong work-life balance and flexibility.
  • Collaborative team environment with direct access to leadership.
  • Exposure to the entire business—not just one functional area.
  • Opportunity to grow into larger projects and increase your ownership over time.
  • Investment in professional development and training.
  • Small, highly visible analytics team where your contributions make a real impact.
  • Exposure to emerging AI initiatives and modern data technologies.

If you''re looking for a place where you can continue to develop your skills, work with a variety of business partners, and build a long-term career in analytics, we''d love to speak with you.


Determining compensation for this role (and others) at Vaco/Highspring depends upon a wide array of factors including but not limited to the individual’s skill sets, experience and training, licensure and certifications, office location and other geographic considerations, as well as other business and organizational needs. With that said, as required by local law in geographies that require salary range disclosure, Vaco/Highspring notes the salary range for the role is noted in this job posting. The individual may also be eligible for discretionary bonuses, and can participate in medical, dental, and vision benefits as well as the company’s 401(k) retirement plan. Additional disclaimer: Unless otherwise noted in the job description, the position Vaco/Highspring is filing for is occupied. Please note, however, that Vaco/Highspring is regularly asked to provide talent to other organizations. By submitting to this position, you are agreeing to be included in our talent pool for future hiring for similarly qualified positions. Submissions to this position are subject to the use of AI to perform preliminary candidate screenings, focused on ensuring minimum job requirements noted in the position are satisfied. Further assessment of candidates beyond this initial phase within Vaco/Highspring will be otherwise assessed by recruiters and hiring managers. Vaco/Highspring does not have knowledge of the tools used by its clients in making final hiring decisions and cannot opine on their use of AI products.

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