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Python Data Analyst Jobs in North Carolina (NOW HIRING)

Vanguard Group

Data Analyst, Specialist

Charlotte, NC · On-site

We are seeking a data visualization expert with a passion for transforming complex data into clear ... Experience in Python and advanced analytics * Demonstrated experience building executive-ready ...

Vanguard

Data Analyst, Specialist

Charlotte, NC · On-site

Analyzes data, assesses trends and develops actionable insights and recommendations in support of ... Experience in Python and advanced analytics * Demonstrated experience building executive-ready ...

1 point system

Business Data Analyst

Greensboro, NC · On-site

Ideally a Data Analyst who is comfortable working with the business. Willing to settle for a strong ... Power BI * Python * Additional programming in Java, R Education: Degree or equivalent exp.

Vangard, Inc.

Data Analyst, Specialist

Charlotte, NC · On-site

Expertise in Python or R for data manipulation, automation and advanced analytics. * Hands-on experience with data visualization tools like Power BI, Tableau or Looker to create interactive reports.

Vanguard Group

Data Analyst, Specialist

Charlotte, NC · On-site

Expertise in Python or R for data manipulation, automation and advanced analytics. * Hands-on experience with data visualization tools like Power BI, Tableau or Looker to create interactive reports.

Vangard, Inc.

Data Analyst, Specialist

Charlotte, NC · On-site

Strong proficiency in Python or R for statistical analysis, automation, and machine learning model development. * Experience with cloud-based data platforms such as AWS, GCP, or Azure, including data ...

Booz Allen Hamilton

Senior Data Analyst

Fayetteville, NC · On-site

$79K - $99K/yr

As data analyst, you love diving into data and turning it into meaningful insights. With the ... Knowledge of Python, Java, C++, or .NET * TS/SCI clearance * Bachelor's degree in CS, Data Science ...

Booz Allen Hamilton

Data Analyst, Senior

Fayetteville, NC

$79K - $99K/yr

As data analyst, you love diving into data and turning it into meaningful insights. With the ... Knowledge of Python, Java, C++, or .NET * TS/SCI clearance * Bachelor's degree in CS, Data Science ...

Publicis Groupe Holdings B.V

Data Analyst

Fallston, NC · Hybrid

... Analytics Specialist , someone with SQL experience, ideally in cloud data environments such as ... Scripting abilities, especially in SQL, with at least a basic level of Python or R. * Capacity to ...

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 ...

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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 Jul 13, 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, Specialist

Data Analyst, Specialist

Vanguard Group

Charlotte, NC • On-site

Full-time

Re-posted 9 days ago

Vanguard rating

8.7

Company rating: 8.7 out of 10

Based on 62 frontline employees who took The Breakroom Quiz

17th of 148 rated financial services

Job description

We are seeking a data visualization expert with a passion for transforming complex data into clear, actionable insights for senior leadership. This role will support the Distribution organization within Personal Investor, which focuses on how we engage with, serve, and grow relationships with our clients.
The ideal candidate is highly skilled in Tableau and SQL, has a strong sense of visual design and user experience, and enjoys partnering closely with business leaders to help them make data-driven decisions. The analyst will be responsible for a range of analytical tasks including ownership of enhancing our dashboard suite all the way through advanced analyses (drivers analyses, development of data-driven strategies to influence business strategies, forecasting, client segmentation modeling etc.)
The ideal candidate has:
  • Expert-level visualization skills using tools such as Tableau
  • Strong SQL experience, with the ability to write and troubleshoot complex queries
  • Experience in Python and advanced analytics
  • Demonstrated experience building executive-ready dashboards and visual solutions with a strong analytical mindset and attention to detail
  • Desire & ability to collaborate closely with our business partners to consult & gather requirements
  • Strong presentation skills with the ability to deliver actionable data stories to business partner motivating data-driven decisions.
  • Exposure to distribution, sales, or client data

Core Responsibilities
  • Engages with internal partners to understand business strategy, questions, and goals. Brings structure to business requests, translates requirements into an analytical project approach, and supports projects through completion.
  • Acquires and compiles structured and unstructured data and verifies its quality, accuracy and reasonableness.
  • Performs analyses of historical data to surface trends and insights using analytical methods.
  • Prepares and delivers visualizations and internal presentations that translate analytic insights into tangible, actionable solutions for business partners to implement.
  • Mentors, coaches, trains, and develops junior data analysts. Proactively expands knowledge of business and analytics and shares with team members. Shares and documents best practices.
  • Participates in special projects and performs other duties as assigned.

Qualifications
  • Minimum of five years related work experience.
  • Undergraduate degree or equivalent combination of training and experience. Graduate degree preferred.
  • SQL and Tableau experience required.
  • Python & Advanced analytics (e.g. predictive modeling, forecasting, clustering) experience preferred.

Special Factors
Sponsorship
Vanguard is not offering visa sponsorship for this position.
About Vanguard
At Vanguard, we don't just have a mission-we're on a mission.
To work for the long-term financial wellbeing of our clients. To lead through product and services that transform our clients' lives. To learn and develop our skills as individuals and as a team. From Malvern to Melbourne, our mission drives us forward and inspires us to be our best.
How We Work
Vanguard has implemented a hybrid working model for the majority of our crew members, designed to capture the benefits of enhanced flexibility while enabling in-person learning, collaboration, and connection. We believe our mission-driven and highly collaborative culture is a critical enabler to support long-term client outcomes and enrich the employee experience.

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