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

ARA

Research Engineer-Data & Analytics

Raleigh, NC · On-site

Proficiency in modern Python data and ML libraries (e.g., PyTorch, NumPy, Pandas/Polars ... analysis, environmental technologies, and testing and measurement. ARA also prides itself, on ...

LexisNexis

Senior FinOps Analyst -- AI

Raleigh, NC

$104K - $174K/yr

Build Python pipelines that normalize telemetry, provider API data, platform usage, and cloud ... Analyze cost movements and explain drivers, expected impacts, and forward-looking implications.

Dlapiper

Data Engineer

Raleigh, NC · On-site

$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 ...

Dlapiper

Data Engineer

Raleigh, NC · Hybrid

$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 ...

CYNET SYSTEMS

Data Scientist

Cary, NC · On-site

$65 - $70/hr

Develop statistical models, analytics, and Machine Learning algorithms using Python and cloud tools (Azure). * Research and stay up to date with the latest advances in AI, Data Science, and Machine ...

NetApp

Data Product Architect

Morrisville, NC · On-site

$145K - $155K/yr

Key Responsibilities Design and refine data models that effectively support enterprise analytics ... Job Requirements Expertise in SQL, RESTful APIs, and Python, with NoSQL experience considered an ...

NetApp, Inc.

Data Product Architect

Morrisville, NC · On-site

$145K - $155K/yr

Key Responsibilities Design and refine data models that effectively support enterprise analytics ... Job Requirements Expertise in SQL, RESTful APIs, and Python, with NoSQL experience considered an ...

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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 Sep 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.

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.

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.

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.

Is Python good for data analysts?

Python is widely used by data analysts due to its simplicity, extensive libraries like pandas and NumPy, and strong community support. It enables efficient data manipulation, analysis, and visualization, making it a valuable skill for the role.
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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:

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For Python Data Analyst jobs in Raleigh, NC, the most frequently searched job titles are:

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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 August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 12% Part Time, and 3% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $80,333 per year, or $38.6 per hour.

NCDOT - Databricks Data Specialist

Raleigh, NC • On-site

Expert Technology Services
IT Services • 11 - 50 employees
Learn more about Expert Technology Servicesexternal

$107.40/hr

Contractor

Re-posted 2 days ago

Job description

NCDIT-T Web Systems is seeking a skilled Data Analyst with strong experience in Azure Databricks to support the creation of data aggregations, dashboards, and reports.
 
The candidate will need to come on-site on the first day to collect equipment. 
 
All candidates must be local to the Triangle region of North Carolina. 
 
This position may require up to 3 days per week at a Triangle-area office for return to office in addition to various in-person responsibilities, including meetings. 

NCDIT-T Web Systems is seeking a skilled Data Analyst with strong experience in Azure Databricks to support the creation of data aggregations, dashboards, and reports. The ideal candidate will have hands-on expertise with Databricks (PySpark) and visualization tools, including both Databricks native tools and Power BI.  In this role, you will be responsible for developing business requirements, supporting change management documentation, and actively collaborating with stakeholders to ensure alignment between data solutions and business needs. You will work closely with a technical lead and participate in design discussions and planning with the broader development team.
 
Key Responsibilities
 
  • Conduct comprehensive data analysis, create data mappings, develop dashboards, and ensure data quality and integrity
  • Leverage Spark SQL within Databricks to query and analyze large datasets, writing efficient and complex SQL queries
  • Collaborate closely with data engineers to design and deliver high-quality data products
  • Develop detailed data mappings to support the integration and transformation of data from diverse sources into structured, analysis-ready formats
  • Design and build intuitive, informative dashboards using tools such as Power BI or Databricks' native visualization tools to effectively communicate insights
  • Build Gold-layer data products to support custom-built dashboards, APIs, and UI tools
  • Create clear and comprehensive documentation for data pipelines, mappings, models, and dashboard functionality
  • Perform statistical analysis, data mining, and machine learning to uncover patterns, trends, and actionable insights
  • Develop and implement predictive models, algorithms, and advanced analytical tools to address specific business challenges
 
Preferred:
  • Databricks Data Analyst Associate Certification
 
  Required/Desired Skills   SkillRequired /DesiredAmountof ExperienceHands-on experience designing, deploying, and managing Azure Databricks architecture in enterprise environmentsRequired3YearsStrong understanding of data science concepts, including statistical learning and machine learning algorithmsRequired3YearsProficiency in SQL and Python for developing queries, data transformations, and interactive dashboardsRequired3YearsExperience with techniques like dimensional modeling, entity-relationship modeling, normalization / denormalization, or Data VaultRequired3YearsExcellent communication skills with proven ability to collaborate with cross-functional teams and translate business needs into technical solutionsRequired5Years   Questions   No.QuestionQuestion1Absences greater than two weeks MUST be approved by CAI management in advance, and contact information must be provided to CAI so that the resource can be reached during his or her absence. The Client has the right to dismiss the resource if he or she does not return to work by the agreed upon date. Do you agree to this requirement?Question2Your candidate must be able to attend an in-person interview.  Do you agree to this requirement?Question3What is your candidate's email address?Question4How soon can your candidate start if selected for this opportunity?Question5Vendors are encouraged to submit candidates that are available for the duration of the assignment.  Do you anticipate your candidate being able to work until the proposed end date listed on this VectorVMS req?Question6Vendors must disclose to the agency if the candidate will be subcontracted at the time of submission.  Is your candidate an employee of your company or a subcontractor?  Please be sure to notify a CAI Account Manager if your candidate's employee status changes.Question7Vendors must notify the agency if any portion of the requirements listed in this task order will be outsourced to other countries.  Do you anticipate outsourcing any work being done for this assignment to another country?Question8Candidates submitted above the hourly Vendor Rate of $107.40 may not be considered for this assignment.  Do you agree to this requirement?Question9Payment for all approved hours will be paid at the straight hourly rate regardless of the total hours worked by the engaged resource.  It is the responsibility of the Vendor to adhere to any applicable compensation laws including payment for overtime hours.  Do you agree to this requirement?Question10Have you thoroughly validated, and attest to the accuracy of, the credentials listed throughout your candidate’s VectorVMS profile and resume pursuant to Section 5.2.5 of ITS-009440?Question11ONLY SUBMIT CANDIDATES CURRENTLY LIVING IN THE RALEIGH/DURHAM/CHAPEL HILL, NC AREA. Please list where your candidate is currently located.