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Python Data Analysis Jobs in Apex, NC (NOW HIRING)

Write efficient, well-documented SQL and/or Python/R code for data extraction, transformation, and analysis. * Partner with data engineering teams to ensure high-quality, well-structured, and ...

Write efficient, well-documented SQL and/or Python/R code for data extraction, transformation, and analysis. * Partner with data engineering teams to ensure high-quality, well-structured, and ...

Proficiency in Python, including libraries for data analysis and modeling. * Strong SQL experience to facilitate deep dives and analysis of complex datasets. * Strong hands-on experience with AWS ...

Proficiency in Python, including libraries for data analysis and modeling. * Strong SQL experience to facilitate deep dives and analysis of complex datasets. * Strong hands-on experience with AWS ...

Proficiency in Python, including libraries for data analysis and modeling. * Strong SQL experience to facilitate deep dives and analysis of complex datasets. * Strong hands-on experience with AWS ...

Experience with a scripting language (preferably Python) for data processing and analysis a plus * Prior experience in the insurance industry or at a startup preferred Must have: * An investigative ...

... data analysis and AI training and inference. Designed from the ground up to make AI simple to ... Python is a big advantage. Knowledge of File Systems (NAS) / Block-level Storage / storage ...

... data analysis and AI training and inference. Designed from the ground up to make AI simple to ... Python is a big advantage. Knowledge of File Systems (NAS) / Block-level Storage / storage ...

Data Engineer

Morrisville, NC · On-site

$107K - $128K/yr

Bachelor's or Master's degree in Computer Science, Engineering, or a related field. * 3+ years of experience in data engineering or data analysis. * Strong proficiency in Python for data processing ...

... analysis and integration to support AI-driven initiatives - Utilizing programming languages such as Python and Java to enhance AI model deployment - Overseeing the creation and maintenance of data ...

Description linux kVAST Data is looking for a Database QA Automation Engineer to join our growing ... Python, bash. - an advantage Experience in analyzing large and diverse systems, understanding QA ...

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How much do python data analysis jobs pay per hour?

As of Jun 22, 2026, the average hourly pay for python data analysis in Apex, NC is $44.67, according to ZipRecruiter salary data. Most workers in this role earn between $36.83 and $50.72 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 popular job titles related to Python Data Analysis jobs in Apex, NC? For Python Data Analysis jobs in Apex, NC, the most frequently searched job titles are:
What job categories do people searching Python Data Analysis jobs in Apex, NC look for? The top searched job categories for Python Data Analysis jobs in Apex, NC are:
What cities near Apex, NC are hiring for Python Data Analysis jobs? Cities near Apex, NC with the most Python Data Analysis job openings:

Senior Data Analyst

IONNA LLC

Raleigh, NC • On-site

$110/hr

Full-time

Medical, Dental, Vision, Life, Retirement

Posted 13 days ago


Job description

Reports To: Chief of Staff
This role requires a full-time onsite presence in Durham, NC
Target Base Range: $110 - 120k (Final compensation commensurate with experience and qualifications)
Please note: We are only able to consider candidates who are U.S. citizens or lawful permanent residents (green card holders) and who do not require current or future visa sponsorship of any sort.
About the Role
We are seeking a highly skilled Senior Data Analyst with a strong foundation in data science, statistical modeling, and advanced analytics and AI platforms to drive data-informed decision-making across the organization. This role sits at the intersection of AI, analytics, data science, and business strategy-transforming complex data into actionable insights, predictive solutions, and measurable outcomes.
The ideal candidate is comfortable working with large, complex datasets, building advanced analytical models, and communicating findings clearly to both technical and non-technical stakeholders.
Key Responsibilities
Data Analytics & Insights
  • Analyze large, complex, and multi-source datasets to uncover trends, patterns, and actionable insights.
  • Translate analytical findings into clear recommendations that influence product strategy, operations, and executive decision-making.
  • Develop data-driven forecasts, simulations, and scenario analyses to support strategic planning.
  • Apply statistical techniques (e.g., regression, hypothesis testing, time-series analysis, clustering) to solve complex business problems.

Data Engineering & Tooling (Analytics-Focused)
  • Develop AI models and datasets to inform business decisions, correlate data and drive decision-making.
  • Write efficient, well-documented SQL and/or Python/R code for data extraction, transformation, and analysis.
  • Partner with data engineering teams to ensure high-quality, well-structured, and reliable datasets.
  • Maintain internal utilization models and support continual enhancement and development of utilization models.

Leadership & Collaboration
  • Act as a thought leader and mentor for team members and business partners.
  • Collaborate closely with stakeholders across product, finance, operations, marketing, and quality.
  • Help define best practices for analytics, experimentation, and data science across the organization.

Required Qualifications
  • Bachelor's degree in Data Science, Statistics, Mathematics, Computer Science, Economics, or a related quantitative field (Master's degree preferred).
  • A minimum of 5 years of experience in data analytics, data science, or a related analytical role.
  • Strong knowledge of statistical analysis, modeling techniques, and data science methodologies.
  • Experience working with large datasets and modern data platforms (e.g., cloud data warehouses, distributed systems).
  • Proven ability to translate data insights into business impact.
  • Excellent communication and stakeholder management skills.

Preferred / Nice-to-Have Qualifications
  • Experience deploying or operationalizing machine learning models in a production environment.
  • Familiarity with A/B testing frameworks and experimental design.
  • Experience with cloud platforms (e.g., AWS, Azure, GCP) and modern analytics stacks.
  • Knowledge of data governance, data quality, and privacy best practices.
  • Prior experience in EV Charging, consumer behavior, technical quality analytics.

What Success Looks Like in This Role
  • You own the pursuit of the truth in everything you do.
  • Analytical insights consistently influence strategic and operational decisions with clarity and conviction.
  • Predictive models and advanced analyses improve forecasting accuracy and business outcomes.
  • Stakeholders trust and rely on analytics outputs for critical decisions.
  • Analytics processes are scalable, efficient, and reproducible.

IONNA is committed to fair and equitable compensation practices through a competitive base salary, as well as offering bonus programs, comprehensive benefits such as medical, dental, vision, life, 401(K), and paid holidays. Actual base salaries are based on several factors unique to each candidate, including but not limited to skill set, experience, certifications, and specific work location.
We are committed to an inclusive and diverse team. IONNA is an equal opportunity employer. We do not discriminate based on race, color, ethnicity, ancestry, national origin, religion, sex, gender, gender identity, gender expression, sexual orientation, age, disability, veteran status, genetic information, marital status, or any legally protected status.