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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

$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 ...

E-Solutions, Inc.

Gen AI Engineer

Raleigh, NC · On-site

Participate in the development of advanced analytics and machine learning or deep learning models including LLMs using predefined processes and tools like SAS and R/ Python. * Participate in defining ...

Truist

Senior Analytics Consultant

Raleigh, NC

... as Python, R, or SQL. 4. Strong expertise in data visualization tools (e.g., Tableau, Power BI). Preferred Qualifications 1. Master's degree or higher in Data Science, Analytics, or related ...

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All JobsPython Analytics JobsPython Analytics Jobs in Raleigh, NC

Python Analytics information

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$12

$56

$83

How much do python analytics jobs pay per hour?

As of Jul 16, 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, and why are they important?

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.

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.

Is Python a high paying job?

Python analytics roles are generally well-paid due to the high demand for data analysis, machine learning, and automation skills. Salaries vary based on experience, location, and industry, but professionals with Python expertise often earn above average wages in the tech and finance sectors.

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.

What is the salary for Python data analytics?

The salary for Python data analytics roles typically ranges from $70,000 to $120,000 annually, depending on experience, location, and industry. Professionals with strong skills in data manipulation, machine learning, and tools like Pandas or NumPy tend to earn higher salaries.

What does a Python data analyst do?

A Python data analyst uses Python programming to collect, clean, analyze, and visualize data to support business decision-making. They often work with libraries like pandas, NumPy, and matplotlib, and may also perform statistical analysis or build data models. Strong problem-solving skills and knowledge of data management are essential for this role.

Is Python good for data analytics?

Python is widely used in data analytics roles due to its simplicity, extensive libraries like pandas, NumPy, and scikit-learn, and strong community support. It enables analysts to perform data manipulation, visualization, and machine learning tasks efficiently, making it a valuable skill for data analytics jobs.
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
Senior Snowflake Data Engineer / Python Developer (Azure Cloud)

Senior Snowflake Data Engineer / Python Developer (Azure Cloud)

ICONMA

Raleigh, NC • On-site

$118K - $158K/yr

Full-time

Posted 28 days ago

Job description

Job Summary:
ICONMA is an IT Services and Consulting company looking for a Senior Snowflake Data Engineer / Python Developer (Azure Cloud). The role involves crafting sophisticated systems, working with cloud technologies, and building data pipelines while collaborating with cross-functional teams.
Responsibilities:
• Crafting and implementing sophisticated systems from scratch
• Working with cloud technology (preferably Azure), data models, API design, API development
• Building and optimizing ‘big data’ data pipelines, architectures and data sets
• Supporting and working with cross-functional teams in a dynamic environment
• Working with unstructured datasets
Qualifications:
Required:
• Bachelor’s degree in computer science or related field or equivalent work experience
• 10+ years of proven experience as a senior software developer, including crafting and implementing sophisticated systems from scratch
• 5+ years of proven experience working with cloud technology (preferably Azure), data models, API design, API development
• 10+ years of data warehousing experience (Redshift or Snowflake)
• 10+ years of hands-on experience with SQL database design
• Advanced working SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases.
• Technical expertise with data models, data mining, and segmentation techniques
• 7+ years of extensive development experience with technologies like: Python
• Experience building and optimizing ‘big data’ data pipelines, architectures and data sets.
• Agile development experience
• Experience supporting and working with cross-functional teams in a dynamic environment.
• Strong analytic skills related to working with unstructured datasets
• Source 10+ years senior Data Engineers with strong Snowflake, Python, SQL, Azure, API development, and data warehouse architecture experience.
• Avoid ETL-only developers, BI/reporting profiles, or candidates lacking deep Snowflake and SQL design expertise.
Preferred:
• Financial Services/Capital Markets domain is highly preferred.
Company:
ICONMA: Your Partner in Global Staffing Solutions and Digital Transformation ICONMA is a globally recognized, Woman-Owned staff augmentation and technology consulting firm. Founded in 2000, the company is headquartered in Troy, MI, US, , with a team of 1001-5000 employees. The company is currently Late Stage.
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About ICONMA

Sourced by ZipRecruiter

ICONMA is an established and stable organization building lasting relationships with clients and consultants. We are unique in our ability to provide a full spectrum of Staffing Services and Solutions including: Staff Augmentation (Contract, Contract-to-Hire, Direct Hire), Bulk Buy Staff Augmentation, Offshore Staff Augmentation, Payroll Services and Consulting (Project Delivery, SOW). At ICONMA, our goal is to become a one-stop destination for our customers' staffing and outsourcing needs. Our vision is to be a preeminent provider of innovative business solutions, leveraging key technologies to improve our customers' competitiveness, growth, and profitability. ICONMA focuses on a culture that fosters collaboration and team work. We recognize that employees are the foundation of any company, and we encourage our employees to be leaders while providing continuous training and growth opportunities. ICONMA encourages hard work, determination and dedication in a professional environment. ICONMA promotes a healthy work-life balance, and understands this is a key component to our employee's and company's success.

Industry

Recruiting and staffing services

Company size

1,001 - 5,000 Employees

Headquarters location

Troy, MI, US

Year founded

2000

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