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Python Data Analyst Jobs in North Carolina (NOW HIRING)

Exposure to Databricks, data warehouses/lakehouse, and Python is a plus. Key Responsibilities * Analyze large insurance datasets: Policy, Claims, Underwriting, Billing, Risk, Regulatory reporting

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.

Senior Data Analyst

Charlotte, NC · Hybrid

$65 - $69/hr

Immediate need for a talented Senior Data Analyst . This is a 12 Months Contract opportunity with ... Must have skills: -Data modeling, NOSQL, Python * Bachelor's Degree Required * Work Experience-5 ...

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 ...

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 ...

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 ...

Data Analyst, Senior

Fayetteville, NC · On-site

$79K - $99K/yr

They are seeking a Senior Data Analyst who will analyze structured and unstructured data to support ... Python, Java, C++, or .NET • TS/SCI clearance • Bachelor's degree in CS, Data Science, or ...

Senior Data Analyst

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 ...

... 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 ...

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 ...

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 ...

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 ...

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 ...

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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 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.
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:
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What cities in North Carolina are hiring for Python Data Analyst jobs? Cities in North Carolina with the most Python Data Analyst job openings:
Data Analyst - SQL 68892

Data Analyst - SQL 68892

PRIMUS Global Services Inc.

Greensboro, NC • On-site

Other

This job post has expired today. Applications are no longer accepted.


Job description

Data Analyst - SQL
We have an immediate need for a Data,Business Analyst with experience in SQL, relational databases, data analysis, and requirements gathering for our client. Experience with Databricks, Power BI, Python, Java, or R is a plus.
This position is onsite in Greensboro, North Carolina and we are looking for a local candidate to join our team.
No subcontracting on this position, Candidates must work on Primus W2
Contact:

Vishal

PRIMUS Global Services

Direct

Desk Ext. 423


PRIMUS Global Services logo

About PRIMUS Global Services

Sourced by ZipRecruiter

PRIMUS was established in 2002 in Irving, Texas. From this beginning the company has grown to include services and support locations in the US, UK, Germany, Poland & India. With over 3000 consultants deployed “on project” daily worldwide, PRIMUS brings together the right people and technologies to deliver the results our clients are seeking across a broad range of business initiatives.

Industry

It services

Company size

1,001 - 5,000 Employees

Headquarters location

Irving, TX, US

Year founded

2002

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