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Python Analytics Jobs in Raleigh, NC (NOW HIRING)

Business Analytics Tutor

Durham, NC ยท Remote

$18 - $40/hr

Adapts instruction using Excel, Tableau, Python, or R with real business data sets and case studies to support undergraduate and MBA students developing analytical capabilities for modern business ...

Business Analytics Tutor

Chapel Hill, NC ยท Remote

$18 - $40/hr

Adapts instruction using Excel, Tableau, Python, or R with real business data sets and case studies to support undergraduate and MBA students developing analytical capabilities for modern business ...

Business Analytics Tutor

Raleigh, NC ยท Remote

$18 - $40/hr

Adapts instruction using Excel, Tableau, Python, or R with real business data sets and case studies to support undergraduate and MBA students developing analytical capabilities for modern business ...

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Python Analytics information

See Raleigh, NC salary details

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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.
FT Data and Analytics Manager *Repost*

FT Data and Analytics Manager *Repost*

Johnston Community College

Smithfield, NC โ€ข On-site, Remote

$67K - $85K/yr

Other

Posted 16 days ago


Job description

Description Summary The Data and Analytics Manager supports the College's mission by transforming institutional data into actionable insights that inform strategic planning, enrollment forecasting, institutional effectiveness, and student success initiatives. This position is responsible for managing and optimizing the College's data warehouse (ZogoTech), conducting advanced statistical analyses and predictive modeling, and supporting internal and external reporting requirements. This position may offer flexibility for a hybrid or remote work arrangement, subject to departmental needs and approval.

Please note that the College does not sponsor employment-based visas. **Candidates who previously applied need not to reapply. ** Knowledge & Responsibilities Essential Duties and Responsibilities include the following.

Other duties may be assigned. Conducts advanced statistical analyses and predictive modeling to support strategic enrollment forecasting, academic scheduling, and resource allocation. Manages and queries the College's data warehouse (ZogoTech) to extract, integrate, and analyze institutional data.

Translates complex analytical findings into clear, actionable insights tailored for stakeholders at all levels. Responds to ad hoc data requests from internal and external stakeholders with accurate, timely, and clearly presented information. Develops, maintains, and automates data reports, dashboards, and visualizations to track institutional key performance indicators.

Collaborates with all college units to align data initiatives with institutional goals. Develops and executes data validation procedures to maintain high-quality data standards and ensure the integrity, consistency, and reliability of institutional data. Extracts, cleans, and prepares data using programming languages such as SQL, Python, or SAS for use in reports, dashboards, and predictive models.

Develops and maintains documentation for data processes, reporting standards, and methodologies to ensure clarity, consistency, and repeatability. Ensures compliance with federal and state reporting requirements, including IPEDS and other mandated submissions. Supports planning and assessment processes, accreditation efforts, and strategic decision-making with high-quality data and analysis.

Assists with designing and administering surveys using platforms such as Qualtrics to gather both qualitative and quantitative data. Stays current with trends in higher education data analytics, strategic enrollment management, and institutional effectiveness. Supervisory Responsibilities This position does not have supervisory responsibilities.

Minimum & Preferred Qualifications Qualifications To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.

Education Minimum: Bachelor's degree in data analytics, statistics, computer science, educational research, or a related field; or equivalent combination of education and experience. Education Preferred: Master's degree in data analytics, institutional research, statistics, or related discipline. Experience Minimum: Two (2) to five (5) years of demonstrated experience in data analysis, predictive modeling, and/or institutional research, preferably in a higher education setting.

Experience Preferred: Experience with data warehousing systems, student information systems, and survey methodology. Additional Information Language Skills Ability to synthesize and communicate complex data in written, verbal, and graphical formats for diverse stakeholders. Ability to write professional reports, documentation, and data summaries.

Mathematical Skills Proficiency in statistical concepts including regression, correlation, and inferential statistics. Demonstrated ability to apply statistical models to real-world problems in education or related fields. Reasoning Ability Strong problem-solving skills with ability to analyze data trends, evaluate methods, and propose actionable recommendations.

Ability to manage multiple tasks and deadlines in a fast-paced, data-driven environment. Computer Skills Proficient in statistical software and programming languages such as SQL, Python, R, or SAS. Proficient in data visualization platforms (e.g., Tableau, Power BI) and survey tools (e.g., Qualtrics)

Familiarity with Microsoft Office Suite and enterprise systems used in higher education. Certificates, Licenses, Registrations: None Physical Demands The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.

While performing the duties of this job, the employee is regularly required to sit, use hands and fingers, and talk or hear. The employee is occasionally required to stand, walk, and reach with hands and arms. Specific vision abilities include close vision and the ability to adjust focus.

Reasonable accommodations may be made. Work Environment The work environment characteristics described here are representative of those an employee encounters while performing the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.

The noise level in the work environment is usually quiet.