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Python Data Analysis Jobs in North Carolina (NOW HIRING)

... Python to develop new reporting and analytics using healthcare data (medical, pharmacy, lab) · Create business applications to deliver clinical or analytic solutions to constituents in a self ...

Data Architect

Cary, NC · On-site

$65 - $83.50/hr

Proficiency in data analysis tools such as SQL, Python, R or similar. Strong understanding of data governance, privacy regulations and data security. Excellent communication skills with the ability ...

Sr. Data Analyst

Charlotte, NC · On-site

$84K - $106K/yr

Hands-on experience with Python for data analysis * Experience working with multiple DB technologies (RDBMS, data warehouses, etc.) * Strong analytical, problem-solving, and communication skills

python Developer

Charlotte, NC · On-site

$49 - $67.75/hr

Playwright is a plus. 4+ years of experience working with Python and its ecosystem with knowledge on ETL PL/SQL, relational databases Shell script, ETL, Data analysis, Data Quality, Proficiency in ...

... analysis, preferably in automotive, manufacturing, or industrial domains * Strong proficiency in SQL, Power BI, and Python (or R) * Experience working with cloud and big data tools such as Azure ...

You will collaborate with leading professionals in data analysis and processing, as well as in ... Java/Python WHAT DO WE OFFER? * Join our team and culture GMV by entering into technological and ...

Python Developer

Charlotte, NC · On-site

$49 - $67.75/hr

Leverage Python libraries like NumPy, Pandas, Matplotlib, SciPy, Scikit-learn, and TensorFlow for data analysis and machine learning tasks (advantageous but optional). * Collaborate with cross ...

The ideal candidate will have strong experience in SQL, Python or Java/.NET, data analysis, and capital markets risk domains and a proven ability to deliver techno-functional solutions for data ...

Proficiency in Python or R for data analysis * Experience with automation tools and scheduling frameworks * Experience supporting executive-level decision-making A salary commensurate with background ...

$81K - $95K/yr

Proficiency in Python or R for data analysis * Experience with automation tools and scheduling frameworks * Experience supporting executive-level decision-making $81,000 - $95,000 a year A salary ...

Sr Data Management Analyst

Charlotte, NC

$84K - $106K/yr

Perform deep data analysis using SQL and python and profiling techniques toidentifyanomalies, data gaps, and inconsistencies across source-to-target systems. * Develop andmaintaindata quality metrics ...

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Python Data Analysis information

See North Carolina salary details

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How much do python data analysis jobs pay per hour?

As of Jun 24, 2026, the average hourly pay for python data analysis in North Carolina is $53.27, according to ZipRecruiter salary data. Most workers in this role earn between $43.89 and $60.53 per hour, depending on experience, location, and employer.

What is a Python Data Analysis job?

A Python Data Analysis job involves using Python programming to collect, clean, analyze, and visualize data for insights and decision-making. Professionals in this role use libraries like Pandas, NumPy, and Matplotlib to manipulate datasets and perform statistical analysis. They may work in various industries, solving business problems, identifying trends, and supporting data-driven strategies. Strong programming skills, data wrangling expertise, and knowledge of analytical techniques are essential for success in this field.

What are the key skills and qualifications needed to thrive in the Python Data Analysis position, and why are they important?

To thrive in a Python Data Analysis role, you need strong proficiency in Python programming, statistical analysis, and data wrangling, often backed by a degree in computer science, mathematics, or a related field. Familiarity with tools such as Pandas, NumPy, Jupyter Notebook, and visualization libraries like Matplotlib or Seaborn, along with potential certifications in data analysis or Python, is highly valuable. Analytical thinking, attention to detail, and effective communication help translate complex data findings into actionable insights for stakeholders. These capabilities are crucial for transforming raw data into meaningful information that supports business decision-making.

What are the typical responsibilities of someone working in Python Data Analysis?

Professionals in Python Data Analysis are usually responsible for collecting, cleaning, and analyzing datasets to uncover trends and inform business strategies. Their daily tasks often include writing Python scripts, visualizing data, conducting statistical analyses, and preparing reports that summarize their findings for both technical and non-technical audiences. Collaboration with data engineers, business analysts, and project managers is common, ensuring that data solutions align with organizational goals. This role offers opportunities to build expertise in specialized areas, such as machine learning or business intelligence, and can lead to career advancement in data science or analytics leadership positions.

What are the most commonly searched types of Python Data Analysis jobs in North Carolina? The most popular types of Python Data Analysis jobs in North Carolina are:
What are popular job titles related to Python Data Analysis jobs in North Carolina? For Python Data Analysis jobs in North Carolina, the most frequently searched job titles are:
What cities in North Carolina are hiring for Python Data Analysis jobs? Cities in North Carolina with the most Python Data Analysis job openings:
Senior Python Data Engineer #3606832

Senior Python Data Engineer #3606832

Axiom Path

Charlotte, NC • Hybrid

$75 - $80/hr

Full-time

Posted 28 days ago


Job description

Be Part Of A High-Performing Team:

Join a technology team supporting a leading financial services environment where data-driven systems, scalable applications, and reliable engineering practices are critical to business operations. This team works across technical and business groups to build solutions that collect, process, and deliver large volumes of data for analysis, reporting, and downstream application needs. The environment is collaborative, fast-moving, and suited for a senior engineer who can work independently while partnering closely with cross-functional stakeholders.

What's In Store For You:

Engagement: W2 only (no C2C/1099)

This is a hybrid opportunity based in Charlotte, NC, supporting a long-term technical initiative within a financial services technology group. The role offers exposure to back-end engineering, ETL development, APIs, cloud data tooling, and enterprise-scale data workflows.

How You Will Make An Impact

  • Build and maintain scalable data pipelines that gather, transform, store, and process large volumes of data.
  • Develop server-side applications, APIs, scripts, and back-end components using Python and C#.
  • Support ETL development, data quality checks, and optimization of data storage and processing workflows.
  • Integrate databases, third-party services, cloud data tools, and internal APIs into reliable application solutions.
  • Write clean, efficient, well-documented code and participate in unit testing, debugging, and code reviews.
  • Collaborate with business and technical teams to gather requirements, implement solutions, and support CI/CD delivery practices.

Are you an experienced Python data engineering professional ready to make an impact?

  • 10+ years of senior-level software engineering, data engineering, or back-end development experience.
  • Strong hands-on Python development experience, ideally in data-heavy, API-driven, or enterprise back-end environments.
  • Strong SQL skills with experience working across relational databases and large datasets.
  • Experience developing ETL pipelines and supporting data quality, transformation, and storage optimization.
  • Hands-on experience with cloud data tools such as AWS Glue, Azure Data Factory, or comparable platforms.
  • C# development experience for server-side applications, APIs, or enterprise integrations.
  • Experience writing unit tests, debugging applications, participating in code reviews, and supporting CI/CD workflows.
  • Strong analytical thinking, documentation discipline, and ability to work independently or within Agile teams.
  • Financial services or capital markets experience is a plus.

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