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Python Analytics Jobs in Raleigh, NC (NOW HIRING)

Epic Games

Senior Data Scientist

Cary, NC · On-site

Fluent, efficient SQL over very large datasets and solid footing in the Python analytics stack * Experience scoping telemetry with engineering teams and building the ETL and data models on top of it

Pwc

GenAI Python Systems Engineer-Manager

Raleigh, NC · On-site

$99K - $232K/yr

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Manager & Summary ... Python and SQL - Experience with Docker and containerized deployments - Skilled in AI techniques ...

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All JobsPython Analytics JobsPython Analytics Jobs in Raleigh, NC

Python Analytics information

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How much do python analytics jobs pay per hour?

As of Aug 5, 2026, the average hourly pay for python analytics in Raleigh, NC is $56.98, according to ZipRecruiter salary data. Most workers in this role earn between $46.97 and $64.71 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Python Analytics professional?

To thrive as a Python Analytics professional, you need a strong background in statistics, data analysis, and proficiency in Python programming, often supported by a degree in computer science, mathematics, or a related field. Familiarity with data analytics libraries (such as pandas, NumPy, and scikit-learn), data visualization tools, and experience with databases are typically required. Strong problem-solving, communication, and critical thinking skills help in interpreting data and conveying insights to stakeholders. These abilities are crucial for turning complex data into actionable business decisions and driving organizational success.

Which Python Analytics job is in demand?

Python Analytics roles such as Data Analyst, Data Scientist, and Business Intelligence Analyst are currently in high demand across various industries. These positions typically require proficiency in Python, data visualization, and statistical analysis, with skills in tools like Pandas, NumPy, and machine learning frameworks increasing employability.

What is the difference between Python Analytics vs Data Analyst?

AspectPython AnalyticsData Analyst
Required SkillsPython programming, data manipulation, statistical analysisExcel, SQL, basic statistics
CertificationsPython certifications, data analysis coursesNone typically required, but certifications like CAP or Microsoft certifications are common
Work EnvironmentData science teams, analytics departments, tech companiesBusiness units, marketing, finance, consulting firms
ToolsPython libraries (Pandas, NumPy, scikit-learn)Excel, SQL, Tableau, Power BI

Python Analytics involves using Python programming to perform advanced data analysis, modeling, and automation, often requiring coding skills. Data Analysts focus on interpreting data using tools like Excel and SQL, providing reports and insights. While both roles analyze data, Python Analytics typically involves more technical and programming expertise, making it suitable for complex data projects and predictive modeling.

What are some typical challenges faced by professionals in Python Analytics roles, and how can I prepare for them?

Professionals in Python Analytics roles often encounter challenges such as handling large and complex datasets, ensuring data quality, and communicating insights effectively to non-technical stakeholders. To prepare, it's beneficial to strengthen your skills in data cleaning, visualization libraries (like Matplotlib or Seaborn), and learn best practices for writing efficient, reproducible code. Collaborating closely with data engineers, business analysts, and decision-makers is also a key part of the job, so developing strong communication and teamwork abilities will help you succeed.

What is a Python Analytics professional?

A Python Analytics professional is someone who uses the Python programming language to collect, process, analyze, and interpret data in order to help organizations make data-driven decisions. They often work with large datasets, perform statistical analyses, create data visualizations, and build predictive models. These professionals may work in industries such as finance, healthcare, marketing, or technology, and typically use libraries like Pandas, NumPy, and Matplotlib. Their work helps businesses gain insights, optimize processes, and solve complex problems through data.

Is Python good for data analytics?

Python is widely used in data analytics roles due to its extensive libraries such as Pandas, NumPy, and Matplotlib, which facilitate data manipulation, analysis, and visualization. Its simplicity and versatility make it a preferred language for data analysts and data scientists, often complemented by skills in SQL and data modeling. Proficiency in Python can enhance job prospects in data analytics positions.
What are popular job titles related to Python Analytics jobs in Raleigh, NC? For Python Analytics jobs in Raleigh, NC, the most frequently searched job titles are:
What job categories do people searching Python Analytics jobs in Raleigh, NC look for? The top searched job categories for Python Analytics jobs in Raleigh, NC are:
Python Analytics jobs near you
Infographic showing various Python Analytics job openings in Raleigh, NC as of June 2026, with employment types broken down into 87% Full Time, 9% Part Time, and 4% Contract. Highlights an 82% Physical, 5% Hybrid, and 13% Remote job distribution, with an average salary of $118,528 per year, or $57 per hour.

Software Escalation Engineer (Python)

Varonis

Morrisville, NC • On-site

Other

Re-posted 14 days ago

Varonis rating

7.3

Company rating: 7.3 out of 10

Based on 5 frontline employees who took The Breakroom Quiz

177th of 242 rated software companies

Job description

Software Escalation Engineer (Python)

The Company:

Varonis(Nasdaq: VRNS) secures AI and the data that powers it. The Varonis platform gives organizations automated visibility and control over their critical data wherever it lives and ensures safe and trustworthy AI from code to runtime. Backed by 24x7x365 managed detection and response, Varonis gives thousands of organizations worldwide the confidence to adopt AI, reduce data exposure, and stop AI-powered threats.

The Role: We are searching for a highly motivated Escalation Engineer (Tier-IV) to join our growing team! The Escalation Engineer must learn fast and adopt to quickly changing technology and to provide top tier Engineering solution for our product line. This position will focus on investigating customer issues of our products and provide timely resolutions, while collaborating with our development teams and support.

The Escalation Engineer must learn fast and adapt to quickly changing technology in order to provide top-tier support for our product line. This position will investigate customer issues with our products and provide timely resolution while coordinating with our support and development teams.

The Location: We are considering candidates who are able to work by hybrid model, located within physical proximity to Morrisville, NC.

The Responsibilities:

  • Act as the technical point of contact for customerimpacting issues.
  • Investigate and resolve issues in Python services.
  • Analyze behavior across services, databases, messaging, and infrastructure.
  • Perform testing on UI and performance.
  • Drive root cause analysis in collaboration with engineering and infrastructure teams.
  • Provide training and technical guidance to internal teams.

The Requirements:

  • B.Sc. in Computer Science or equivalent from known university.
  • Minimum of 3 years of experience in developing Enterprise-level Python Applications.
  • Experience working with cloud-native architectures and distributed systems.
  • Experience working with AWS, Azure, or GCP, Docker, Kubernetes, and microservices - Advantage.
  • Knowledge of IT Fundamentals (Networking / Security / Storage).
  • Strong understanding of REST API, scalability, and security concepts (OAuth2, JWT, API Gateways).
  • Experience with relational and NoSQL databases (PostgreSQL, MySQL, MongoDB, Redis).
  • Familiarity with asynchronous processing and messaging systems (RabbitMQ, Kafka) - Advantage.
  • Knowledge of multi-tenant SaaS architectures - Advantage.
  • Familiarity with infrastructure as code and monitoring/observability tools.
  • Hands-on experience with AI projects and applications.
  • Fluent English (written and verbal).
  • Advantageous, not required:
    • Familiarity with additional languages (PHP, Angular/JS, Swift/ObjectiveC, Kotlin/Java).
    • Previous customer-facing technical positions.
    • Provide training and support to internal teams.
    • Familiarity with Datadog.

We invite you to check out our Instagram Page to gain further insight into the Varonis culture!

@VaronisLife

Varonis is an equal opportunity employer. We evaluate qualified applicants without regard to race, color, religion, sex, national origin, disability, veteran status, and other legally protected characteristics

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