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Python Analytics Jobs in Raleigh, NC (NOW HIRING)

Innosoul inc

Python Developer

Raleigh, NC · On-site

$48.75 - $67.25/hr

This role plays a key part in moving data between legacy and modern platforms, ensuring data quality, and enabling analytics and automation through Python and Power BI. Key Responsibilities: Develop ...

Sage Group

Python Developer

Raleigh, NC · On-site

$48.75 - $67.25/hr

Create interactive dashboards, reports, and analytics solutions using Power BI * Perform data ... Strong hands on experience with Python * Proficiency with Power BI * Experience designing and ...

Compunnel

Senior Python Developer

Durham, NC · On-site

$117K - $158K/yr

Job Summary The Senior Python Developer is responsible for designing, developing, and maintaining ... cause analysis, and implement permanent solutions. • Participate in production support and ...

VGroup Inc

Python Developer - Raleigh, NC

Raleigh, NC · On-site

$60 - $65/hr

Python Developer Duration: 12 Months Start Date: ASAP Location: Raleigh, NC Position Type: Contract ... Create interactive dashboards, reports, and analytics solutions using Power BI * Perform data ...

New

MSYS Inc.

Sr.Python Developer- Hybrid

Raleigh, NC · On-site

$118K - $158K/yr

Python Developer- Hybrid Location: Raleigh,NC Length :Long term Restriction: w2 or c2c Description ... Create interactive dashboards, reports, and analytics solutions using Power BI * Perform data ...

CGI Inc.

Python AWS Mongo Developer

Raleigh, NC · On-site

$48.75 - $67.25/hr

Python AWS Mongo Developer Category: Software Development/ Engineering Main location: United States ... Agile Ceremonies - Participate and Contribute Applications Development - Analysis Design ...

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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 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
Python Developer

Python Developer

Innosoul inc

Raleigh, NC • On-site

$48.75 - $67.25/hr

Other

Posted 3 days ago

Job description

Job ID: NC-805159

Hybrid/Local NC Govt Python Developer (15+) with Java, Power BI admin, SQL Server/PostgreSQL/Oracle/MySQL/Ingres, SOAP/REST, microservices, data migration/conversion, modernization, AWS/Azure/Google Cloud Platform, Git/Subversion, CI/CD experience

Location: Raleigh, NC (NCDHHS-PH)
Duration: 12 Months

Skills:
Strong hands on experience with Python Required 7 Years
Proficiency with Power BI Required 5 Years
Strong SQL skills and experience working with relational databases (SQL Server, PostgreSQL, Oracle, MySQL, Ingres) Required 7 Years
Senior level experience writing optimized SQL queries and analyzing existing SQL queries for performance improvements Required 7 Years
Solid understanding of SOAP/REST APIs, backend architecture, and microservices Required 5 Years
Experience designing and executing data migration or data conversion projects Required 7 Years
Understanding of data governance, security, and compliance requirements Required 7 Years
Familiarity with legacy system migration projects Highly desired 5 Years
Experience with large-scale migration or modernization initiatives Highly desired 5 Years
Experience with Java development Highly desired 5 Years
Experience with cloud platforms (AWS, Azure, Google Cloud Platform) Desired 3 Years
Knowledge of Power BI administration, workspaces, gateways, and deployment strategies Desired 3 Years
Experience with version control (Git/Subversion) and CI/CD pipelines Desired 3 Years
Experience with Perl for scripting, system utilities, or legacy app maintenance Nice to have 3 Years

Description:
DHHS ITD is seeking a skilled Applications Systems Python Developer to design, develop, and support data pipelines, dashboards, integrations, and migration processes across enterprise systems within the Office of the NC Chief Medical Examiner.

DHHS Information Technology Division (ITD) is seeking a skilled Application Systems Python Developer to design, develop, and support data pipelines, dashboards, integrations, and migration processes across enterprise systems within the Office of the NC Chief Medical Examiner. This role plays a key part in moving data between legacy and modern platforms, ensuring data quality, and enabling analytics and automation through Python and Power BI.

Key Responsibilities:
Develop and maintain data migration scripts, ETL pipelines, and automation workflows using Python
Design, build, and optimize data models for reporting and analytics
Create interactive dashboards, reports, and analytics solutions using Power BI
Perform data extraction, transformation, validation, and loading between databases, APIs, and enterprise systems
Optimize data processes for speed, reliability, and scalability
Work with SQL queries, stored procedures, and database objects to support migration and reporting
Integrate data from multiple sources, including cloud apps, on premises systems, and flat files
Collaborate with business teams to define reporting needs and translate them into technical solutions
Analyze data quality issues, reconcile datasets, and implement best practices for data integrity
Implement automation for recurring data tasks and reporting workflows
Maintain documentation for data processes, source mappings, and migration steps
Participate in architecture, design, and planning sessions for data modernization projects

Required Skills & Experience:
Strong hands on experience with Python
Proficiency with Power BI
Experience designing and executing data migration or data conversion projects
Strong SQL skills and experience working with relational databases (SQL Server, PostgreSQL, Oracle, MySQL, Ingres)
Understanding of data governance, security, and compliance requirements
Strong troubleshooting ability and attention to detail

Preferred Qualifications:
Experience with cloud platforms (Azure, AWS, or Google Cloud Platform)
* Experience with Java development
Experience with version control (Git/Subversion) and CI/CD pipelines
Knowledge of Power BI administration, workspaces, gateways, and deployment strategies
Experience with large-scale migration or modernization initiatives

Apply