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Python Data Analyst Jobs in Raleigh, NC (NOW HIRING)

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 ...

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 · 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 ...

VHB

Senior Transportation Data Analyst

Raleigh, NC · On-site

$98K - $148K/yr

Senior Transportation Data Analyst Job Locations US-MA-Boston | US-NC-Raleigh | US-FL-Orlando | US ... Data manipulation skills using various scripting languages like Python or R. * Strong ETL process ...

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 ...

Duke University

Database Analyst I

Durham, NC · On-site

$59K - $104K/yr

Develop, test, and maintain robust codebases (e.g., Python, SQL) for ongoing analytical tasks, implement version control, and comprehensively document architectural decisions and data extraction ...

Dlapiper

Data Engineer

Raleigh, NC

$111K - $133K/yr

... and Python. * Data pipeline tooling and cloud data services experience (Azure Data Factory, Azure Databricks, Azure Event Hubs, SSIS). * Data warehousing experience (Azure Synapse Analytics) and ...

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All JobsPython Data Analyst JobsPython Data Analyst Jobs in Raleigh, NC

Python Data Analyst information

See Raleigh, NC salary details

$33.1K

$80.3K

$132.2K

How much do python data analyst jobs pay per year?

As of Jul 12, 2026, the average yearly pay for python data analyst in Raleigh, NC is $80,333.00, according to ZipRecruiter salary data. Most workers in this role earn between $60,800.00 and $94,300.00 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 Raleigh, NC? The most popular types of Python Data Analyst jobs in Raleigh, NC are:
What are popular job titles related to Python Data Analyst jobs in Raleigh, NC? For Python Data Analyst jobs in Raleigh, NC, the most frequently searched job titles are:
What job categories do people searching Python Data Analyst jobs in Raleigh, NC look for? The top searched job categories for Python Data Analyst jobs in Raleigh, NC are:
Python Data Analyst jobs near you
Infographic showing various Python Data Analyst job openings in Raleigh, NC as of July 2026, with employment types broken down into 1% Locum Tenens, 1% Internship, 81% Full Time, 11% Part Time, 1% Temporary, and 5% Contract. Highlights an 82% Physical, 5% Hybrid, and 13% Remote job distribution, with an average salary of $80,333 per year, or $38.6 per hour.

Senior Data Analyst

Careers - North Carolina's Electric Cooperatives | North Carolina's Electric Cooperatives

Raleigh, NC

$83K - $105K/yr

Full-time

Posted 25 days ago

Job description

North Carolina Electric Membership Corporation Employer Website Posting

North Carolina Electric Membership Corporation is seeking a Senior Data Analyst at its Raleigh, NC location.

Job Description: Mentor junior data analysts. Identify enterprise and departmental data elements and facilitate management of that data. Develop and implement data collection and management strategies that optimize quality and consistency. Proactively maintain the data for accuracy, completeness, consistency, validity, integrity and timelines. Work with management to prioritize business and information needs, visualizations, and data discovery. Locate and define new process improvement opportunities.

Minimum Requirements: Position requires a Bachelor of Science degree (or foreign equivalent) in Data Science, Applied Data Analytics, Computer Science, or a related field of study. Position requires three (3) years of experience as a Data Analyst or a related occupation. Position requires three (3) years of experience with each of the following: machine learning algorithms, including supervised, unsupervised, and deep learning techniques (RandomForest, Decision Tree, Gradient Boosting, LGBM, and regression); libraries including scikit-learn, TensorFlow, PyTorch, Keras, Pandas, NumPy, and Matplotlib, Seaborn; information technology systems, data management, and reporting; reporting packages, databases (SQL), cloud data stores and development environments (Databricks or Azure) programming (python, scripting or ETL frameworks); statistics and using statistical packages for analyzing datasets (Excel, R, SPSS, or SAS Data Management); data models, visualization, database design, data mining and segmentation techniques; queries, report writing and presenting findings, dashboarding, and visualization (PowerBi, or Tableau).

How to Apply: Send resume to careers@ncemcs.com, reference Job No. 150 or click “Apply”

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