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Python Data Analysis Jobs in North Carolina (NOW HIRING)

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

Strong hands-on experience with Python for data analysis and automation. * Advanced SQL skills, including complex queries, joins, stored procedures, and performance optimization. * Experience with ...

Associate Data Scientist I

Charlotte, NC · On-site

$57K - $58K/yr

Experience with SQL, Python data analysis libraries, data visualization tools such as Power BI or Tableau, and advanced Microsoft Office applications * Familiarity with Power Platform, GitHub or ...

The ideal candidate will have strong expertise in Power BI, SQL, Python, and statistical analysis ... data-informed decision-making. Key Responsibilities • Analyze and interpret large datasets to ...

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 ...

... analysis or in a related field for the past two years. You should be conversant with SQL, Excel, or data visualization technologies including Tableau and Power BI. Knowing R or Python would be really ...

Experience with Python for data analysis or automation is a plus. * Knowledge of data governance, data privacy, and best practices is a plus. * Strong analytical, problem-solving, and troubleshooting ...

Data Analyst Location: Charlotte, NC Mode Of Work: Hybrid It's a W2 role * Develop analytics ... Write python scripts to develop ETL jobs Required Skills (top 3 non-negotiables): * Looker and ...

Python programming * Microsoft Excel and Microsoft Office Suite * Data analysis, modeling, validation, and cleansing * Power BI (preferred) or Tableau * Working with large datasets and relational ...

This may require financial data analysis, trend recognition, and research as well as the ... Programming for Data Analytics (e.g., Python or R) * Business Statistics * Database Management (e.g.

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Python Data Analysis information

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$12

$53

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How much do python data analysis jobs pay per hour?

As of Aug 5, 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?

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 python data analysis, 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 job categories do people searching Python Data Analysis jobs in North Carolina look for? The top searched job categories for Python Data Analysis jobs in North Carolina 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:
Infographic showing various Python Data Analysis job openings in North Carolina as of July 2026, with employment types broken down into 84% Full Time, 11% Part Time, 1% Temporary, and 4% Contract. Highlights an 83% Physical, 3% Hybrid, and 14% Remote job distribution, with an average salary of $110,812 per year, or $53.3 per hour.

Data Management Analyst- Senior/Advanced

Vangard, Inc.

Charlotte, NC • On-site

$84K - $106K/yr

Full-time

Posted 13 days ago


Job description

This is a unique opportunity to join Vanguard's intermediary business Data team and empower trustworthy, high-quality, and compliant data driving strategic business decisions and actions. Data is a strong enabler to all we do and we look for a driven and senior, experienced data management/data governance individual to drive the business vision and mission. This individual will contribute both strategically in cross-functional partnerships and through tangible progress with a modernized data management platform. Ideal candidate will possess strong data quality, metadata, architectural principles, and technical skills (SQL, Python, AI) along with exceptional understanding of governance principles and requirements to ensure data meets or exceeds standards. The candidate will have the opportunity to translate broad data management best practices and governance objectives into actionable plans, define metrics and evaluate progress, and deliver measurable outcomes readouts to Sr Leadership.

Skills needed to be proficient in this role:

1. Technical Data Management & Data Governance Expertise

The candidate must possess strong data management, governance, analytical, and technical skills to deliver high-quality, trustworthy data through adherence to data governance principles on data quality, metadata management, data lineage, authoritative data sourcing, and other requirements. This skill will be used to help establish, educate on, and audit governance controls. Experience with SQL, Python, data analysis tools, and modern data platforms (e.g., Databricks, cloud data environments) is highly desirable.

2. Strategic Thinking and Operational Execution

The candidate must be able to translate broad governance objectives into actionable plans and deliver measurable outcomes. This includes identifying and prioritizing governance opportunities, managing remediation efforts, tracking risks and issues, implementing governance processes, defining metrics, and ensuring sustainable execution of governance programs. The role requires balancing long-term governance strategy with day-to-day operational delivery.

3. Stakeholder Management, Influence, and Change Leadership

Success in this role requires the ability to partner effectively with senior management, business leaders, data stewards, technology teams, risk partners, privacy teams, and analysts to drive adoption of governance practices. The analyst will facilitate governance discussions, resolve data ownership questions, influence decision-making, communicate risks and recommendations, and build alignment around data standards and priorities across multiple functions.

Nice to haves

Core Responsibilities

1. Serves as a subject matter expert (SME) of data sets for a given industry, data storage systems, and the operational processes being supported. Maintains awareness of changing business needs to create appropriate project solutions.

2. Leads process design efforts to support new offerings, business initiatives, or improvement projects. Performs root cause analyses of complex data errors. Identifies opportunities to eliminate future occurrences, prioritizes initiatives, mitigates risk, leverages technology, and recommends short- and long-term solutions for issues.

3. Focuses on improving Data Management's service offer and communicates with stakeholders and management to obtain their input and buy-in as appropriate. Recommends, coordinates, documents, and implements changes that will enhance work-flows and procedures. Integrates new or existing technologies into work-flows and communicates to all team members. Analyzes impacts and prepares environment for change.

4. Builds and maintains relationships with internal and external partners to define data requirements, develop project specifications, and execute data projects to ensure that the expected outputs are delivered. Provides validation and approval of project deliverables.

5. Identifies solutions independently and with input from internal and external partners, external vendors, and industry contacts to enable best-in-class data management practices, scalability, and cost effectiveness. Leads and consults on new projects to ensure operational readiness upon implementation into the live environment.

6. Participates in special projects and performs other duties as assigned.

Qualifications:

  • Strong experience with data quality, metadata, architecture standards.

  • Minimum of five years of related work experience.

  • Undergraduate degree or equivalent combination of training and experience. Advanced degree (MBA, MS in Analytics, etc.) preferred

  • Experience working with Databricks, cloud data platforms, or enterprise metadata/governance tools such as Collibra.

  • Proficient with SQL and Python and experience working with large, complex datasets

  • Strong decision-making, prioritization, communication, and project management skills, especially when balancing competing governance initiatives.

  • Proven track record of operating independently in very dynamic and fast pace environment.

  • Knowledge of and experience with AI capabilities and data readiness requirements for advanced analytics and AI use cases.

  • Familiarity with Agile delivery methodologies and cross-functional operating models.

  • Experience supporting audit, risk, compliance, privacy, or regulatory initiatives.

Special Factors

Sponsorship

Vanguard is not offering visa sponsorship for this position.

About Vanguard

At Vanguard, we don't just have a mission-we're on a mission.

To work for the long-term financial wellbeing of our clients. To lead through product and services that transform our clients' lives. To learn and develop our skills as individuals and as a team. From Malvern to Melbourne, our mission drives us forward and inspires us to be our best.

How We Work

Vanguard has implemented a hybrid working model for the majority of our crew members, designed to capture the benefits of enhanced flexibility while enabling in-person learning, collaboration, and connection. We believe our mission-driven and highly collaborative culture is a critical enabler to support long-term client outcomes and enrich the employee experience.