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Python Data Analyst Jobs in North Carolina (NOW HIRING)

Polar IT Services

Data Analyst

Charlotte, NC · On-site +1

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 ...

Compunnel

Data Analyst

Greensboro, NC · On-site

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 ...

iTech US, Inc.

Data Analyst

Charlotte, NC · On-site

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 ...

Brightspeed

Data Analyst

Charlotte, NC · On-site +1

Develop, maintain, and optimize SQL queries, data pipelines, and analytical models using BigQuery, Python, and other data technologies. * Design, build, and maintain recurring and ad hoc reports ...

Brightspeed

Data Analyst

Charlotte, NC

Develop, maintain, and optimize SQL queries, data pipelines, and analytical models using BigQuery, Python, and other data technologies. * Design, build, and maintain recurring and ad hoc reports ...

BrightSpeed LLC

Data Analyst

Charlotte, NC

Develop, maintain, and optimize SQL queries, data pipelines, and analytical models using BigQuery, Python, and other data technologies. * Design, build, and maintain recurring and ad hoc reports ...

Spruce Infotech

Sr. Data Analyst

Charlotte, NC · On-site

$84K - $106K/yr

The ideal candidate will have deep expertise in SQL and Python , the ability to independently analyze complex datasets, identify data issues, and support business and technology teams in an Agile ...

Brightspeed

Data Analyst

Charlotte, NC

Develop, maintain, and optimize SQL queries, data pipelines, and analytical models using BigQuery, Python, and other data technologies. * Design, build, and maintain recurring and ad hoc reports ...

Jobsultant Solutions

Data Analyst

Charlotte, NC

Analyze large scale complex business data (time series data, structured/unstructured) from various ... Experience writing code in Python, R, Scala, and distributed computing technologies like Spark.

The Wilson Group KW23

Data Analyst

Raleigh, NC · On-site +1

Knowing R or Python would be really helpful. Your meticulous approach results in accurate, well ... data analysis and fresh insight discovery. Essential is the capacity to succinctly and simply ...

Pacific Life Insurance Company

Sr Data Analyst

Charlotte, NC · On-site

$84K - $106K/yr

Strong hands-on experience in data analysis using SQL, Python, and data profiling techniques to identify anomalies, data quality issues, gaps, and inconsistencies across source and target systems.

JM Huber Corporation

Data Analyst

Charlotte, NC

SQL, DAX, and scripting (Python preferred) Data modeling (star schema, relationships, performance ... analytics (prompting, APIs, automation) Technical Skill (preferred) Microsoft Fabric platform ...

JM Huber Corporation

Data Analyst

Charlotte, NC · On-site

SQL, DAX, and scripting (Python preferred) • Data modeling (star schema, relationships ... in analytics (prompting, APIs, automation) Technical Skill (preferred) • Microsoft Fabric ...

Pacificlife

Sr Data Analyst

Charlotte, NC · On-site

$84K - $106K/yr

Strong hands-on experience in data analysis using SQL, Python, and data profiling techniques to identify anomalies, data quality issues, gaps, and inconsistencies across source and target systems.

Huber

Data Analyst

Charlotte, NC

SQL, DAX, and scripting (Python preferred) • Data modeling (star schema, relationships ... in analytics (prompting, APIs, automation) Technical Skill (preferred) • Microsoft Fabric ...

Vangard, Inc.

Data Analyst, Specialist

Charlotte, NC · On-site

Automate and streamline recurring data analysis and reporting workflows using SQL, Python, and other programming tools to improve efficiency and reduce manual effort. * Collaborate with leadership to ...

JM Huber Corporation

Data Analyst

Charlotte, NC · On-site

SQL, DAX, and scripting (Python preferred) • Data modeling (star schema, relationships ... in analytics (prompting, APIs, automation) Technical Skill (preferred) • Microsoft Fabric ...

Collabera

Data Analyst

Charlotte, NC · On-site

$50 - $55/hr

Data sets can range from 5 rows to 1500 rows depending on the report, so this person should have very senior analytical skills, as well as be able to utilize python to simplify the analytics process.

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All JobsPython Data Analyst JobsPython Data Analyst Jobs in North Carolina

Python Data Analyst information

See North Carolina salary details

$30.9K

$75.1K

$123.6K

How much do python data analyst jobs pay per year?

As of Jul 28, 2026, the average yearly pay for python data analyst in North Carolina is $75,103.00, according to ZipRecruiter salary data. Most workers in this role earn between $56,800.00 and $88,200.00 per year, depending on experience, location, and employer.

What does a Python Data Analyst do?

A Python Data Analyst leverages the Python programming language to collect, process, and analyze large sets of data. They use tools and libraries like Pandas, NumPy, and Matplotlib to clean data, perform statistical analysis, and create visualizations that help organizations make data-driven decisions. Their role often involves extracting insights from complex datasets, automating data workflows, and communicating findings to stakeholders through reports or dashboards. Python Data Analysts play a crucial part in turning raw data into actionable business intelligence.

How do Python Data Analysts typically collaborate with other departments within an organization?

Python Data Analysts often work closely with teams such as marketing, finance, and product development to provide data-driven insights that inform business decisions. They regularly participate in cross-functional meetings to understand departmental objectives, gather requirements for data analysis, and present their findings in an accessible manner. Effective communication and the ability to translate technical results into actionable recommendations are essential, as analysts often act as a bridge between technical data and non-technical stakeholders.

What is the difference between Python Data Analyst vs Data Scientist?

AspectPython Data AnalystData Scientist
Required SkillsPython, SQL, data visualization, statistical analysisPython, R, machine learning, statistical modeling
Work EnvironmentBusiness analytics, reporting, data cleaningAdvanced modeling, predictive analytics, research
Industry UsageFinance, marketing, healthcare, retailTech, finance, research, AI development

While both roles require Python and data analysis skills, Data Scientists typically engage in more complex modeling and machine learning, whereas Python Data Analysts focus on data cleaning, visualization, and reporting to support business decisions.

What Does a Python Data Analyst Do?

As a Python data analyst, you use the Python programming language to develop tools for data mining, analysis, and data visualization. You typically develop a script to meet the specific data needs of your client or employer. Then, you test your code and perform debugging duties before deploying it in a live environment. Some data analysts also have algorithm creation responsibilities. In this case, after creating and testing an algorithm, you use Python with your algorithm to interpret data. You also develop reports to show to your clients or employers, and you may code a web app or interface that clients can use to visualize data sets.

Will AI replace a data analyst?

AI tools can automate routine data processing and analysis tasks, but the role of a data analyst involves interpreting insights, understanding business context, and communicating findings, which require human judgment. Data analysts who develop skills in programming, data visualization, and machine learning can adapt to new technologies and continue to add value in data-driven decision-making.

Is 40 too old to become a data analyst?

Age is not a barrier to becoming a data analyst; many professionals transition into the field later in life. Success depends on acquiring relevant skills such as SQL, Python, and data visualization, along with practical experience and certifications. Employers value diverse backgrounds and experience, making it possible to start a data analyst career at any age.

What are the key skills and qualifications needed to thrive as a Python Data Analyst, and why are they important?

To thrive as a Python Data Analyst, you need strong analytical skills, a solid grasp of statistics, and proficiency in Python programming, often supported by a degree in data science, mathematics, or a related field. Familiarity with data analysis libraries like pandas and NumPy, visualization tools such as Matplotlib or Seaborn, and experience with data querying languages like SQL are typically required. Attention to detail, critical thinking, and effective communication help you derive insights and present findings clearly to stakeholders. These skills and qualities are vital for transforming raw data into actionable business intelligence and supporting data-driven decision-making.

Is Python a high paying job?

Python Data Analysts are generally well-compensated due to their technical skills in programming, data manipulation, and analysis. Salaries vary based on experience, location, and industry, but proficiency in Python often leads to higher earning potential compared to many other entry-level roles in data analysis. Certifications and knowledge of related tools like SQL or machine learning can further increase salary prospects.

Is Python useful for data analysts?

Python is highly useful for data analysts because it offers powerful libraries like Pandas, NumPy, and Matplotlib for data manipulation, analysis, and visualization. It is widely used in the industry for automating tasks, building data pipelines, and performing statistical analysis, making it a valuable skill for the role.
More about Python Data Analyst jobs
What are the most commonly searched types of Python Data Analyst jobs in North Carolina? The most popular types of Python Data Analyst jobs in North Carolina are:
What are popular job titles related to Python Data Analyst jobs in North Carolina? For Python Data Analyst jobs in North Carolina, the most frequently searched job titles are:
What job categories do people searching Python Data Analyst jobs in North Carolina look for? The top searched job categories for Python Data Analyst jobs in North Carolina are:
What cities in North Carolina are hiring for Python Data Analyst jobs? Cities in North Carolina with the most Python Data Analyst job openings:
Python Data Analyst jobs near you
Infographic showing various Python Data Analyst job openings in North Carolina as of July 2026, with employment types broken down into 81% Full Time, 5% Part Time, and 14% Contract. Highlights an 88% In-person, 5% Hybrid, and 7% Remote job distribution, with an average salary of $75,103 per year, or $36.1 per hour.
Data Analyst/Python Programmer - Remote

Data Analyst/Python Programmer - Remote

SynergisticIT

Morrisville, NC • On-site

Other

Posted 4 days ago

Job description

Junior Data Scientist — Move From ML Courses to Real Job Readiness Have you completed courses in Python, machine learning, statistics, or data science but still feel unsure about applying for jobs? Many candidates know the theory behind models, but employers want to see whether you can clean data, explore datasets, choose the right model, evaluate results, explain tradeoffs, and communicate findings in a business-friendly way. SynergisticIT is seeking candidates interested in junior data science roles involving Python, SQL, machine learning, statistics, data visualization, model evaluation, NLP, predictive analytics, and applied AI concepts. This opportunity is ideal for candidates who want to move beyond tutorials and create a stronger, more employer-ready profile. Since 2010, Synergisticit has helped thousands of candidates land full-time jobs at tech leaders like Google, Apple, PayPal, Visa, Western Union, Wells Fargo, Client, Paypal, Banking, Wayfair, Client, Client and hundreds more with Job offers of $95k to $154k. Synergisticit focuses on closing the gap between your tech skills and what employers want now. Currently, We are looking for entry-level software programmers, Java Full stack developers, Python/Java developers, Data analysts/Data Engineers/ Data Scientists, Machine Learning engineers for full time positions with clients. We Focus on Java /Full stack/Devops and Data Science /Data Engineers/Data analysts/BI Analysts/ Machine learning/AI candidates Ideal Candidates: Recent grads in CS, Engineering, Math, or Statistics with limited or no job experience Jobseekers who had layoffs due to Downsizing and want to get in demand tech stack Professionals seeking a career switch to tech Candidates with career gaps or lacking real-world experience Individuals looking to boost their skill portfolio for better job prospects Computer Science grads with limited or no job experience Students who recently finished their Bachelor's or Master's programs Those struggling to land interviews despite having experience please read our blogs Why do Tech Companies not Hire recent Computer Science Graduates | https://www.synergisticit.com/why-tech-companies-dont-hire-recent-cs-graduates/ Technical Skills or Experience? | Which one is important to get a Job? | https://www.synergisticit.com/tech-skill-or-experience-which-one-is-more-important-for-a-jobseeker/ Please check below links: Synergisticit Industry Event videos (OCW, JavaOne, Gartner data Analytics): https://fast.wistia.com/embed/channel/k4mlq69ekl USA Today feature Explore JOPP: https://www.synergisticit.com/jopp/ Contact: https://www.synergisticit.com/contact-us/ SynergisticIT JOPP is good for aspiring data scientists because it helps candidates connect learning with hiring expectations. The program's placement-focused approach supports practical skill development, project work, interview preparation, and profile positioning so candidates can better compete in a crowded data science market. Build the confidence, projects, and preparation needed for data science opportunities— Contact us Please note: Resume databases are shared with clients and interested clients will reach out directly if they find a qualified candidate for their req. Resume submissions may be shared with our JOPP team database also. Please unsubscribe if contacted or if you don't want to be contacted please don't submit your resume.

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