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Python Data Analyst Jobs in North Carolina (NOW HIRING)

DATAECONOMY Inc

Data Analyst

Charlotte, NC · On-site

Working knowledge of Python (pandas) for data wrangling is a plus. Required Qualifications * 4-7+ years of experience in data analysis, business intelligence, or reporting. * Strong, demonstrable SQL ...

DATAECONOMY

Data Analyst

Charlotte, NC

Working knowledge of Python (pandas) for data wrangling is a plus. Required Qualifications * 4-7+ years of experience in data analysis, business intelligence, or reporting. * Strong, demonstrable SQL ...

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 ...

Infosys

AWS Python Data Architect

Raleigh, NC · On-site

$62 - $79.75/hr

... gather and analyze system requirements for performance, security and scalability. • Provide ... Python. • Experience in Data Warehouse Design - Dimensional modeling, star/snowflake schemas ...

Infosys Limited

AWS Python Data Architect

Raleigh, NC · On-site

$62 - $79.75/hr

Participate in customer discussions to gather and analyze system requirements for performance ... Python. * Experience in Data Warehouse Design - Dimensional modeling, star/snowflake schemas ...

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.

Quest Global

Data Analyst

Wilson, NC · Hybrid

$35 - $39.42/hr

Write and optimize Python queries to pull and clean data from various sources. * Data Preparation ... Experience with SAP data extraction, analysis, and reporting * Strong working knowledge of SQL ...

Infosys Limited

AWS Python Data Engineer

Raleigh, NC · On-site

Execute test plans, analyse outcomes, and report defects to the development team, to facilitate ... Experience in Python libraries and scripting * Experience with CI/CD (GitLab, Git), Docker ...

Quest Global

Data Analyst

Wilson, NC · Hybrid

$35 - $39.42/hr

Write and optimize Python queries to pull and clean data from various sources. * Data Preparation ... Experience with SAP data extraction, analysis, and reporting * Strong working knowledge of SQL ...

Magnit Global

Data Analyst

Wilmington, NC · On-site

$26.14 - $34.85/hr

Prepare and clean data for reporting, analytics, and AI tools. * Support process improvements that ... Interest in applying AI to business or technical workflows; exposure to Python, SQL, or Power BI ...

CapTech Consulting

Data Analyst

Charlotte, NC

CapTech's Data Analysts work within a collaborative, team environment to help define and deliver ... Languages: SQL, Python, R * Database: Hive, Snowflake, SQL Server, Oracle, Teradata, Aurora ...

CapTech Consulting

Data Analyst

Charlotte, NC · On-site

CapTech's Data Analysts work within a collaborative, team environment to help define and deliver ... Languages: SQL, Python, R * Database: Hive, Snowflake, SQL Server, Oracle, Teradata, Aurora ...

Booz Allen Hamilton

$77K - $176K/yr

Experience with structured data using tools, including SQL, R, or Python programming languages, data visualization software, and statistical analysis * Experience analyzing data sets to spot trends ...

Booz Allen Hamilton, Inc.

Data Analyst

Camp Lejeune, NC · On-site

$77K - $176K/yr

Experience with structured data using tools, including SQL, R, or Python programming languages, data visualization software, and statistical analysis * Experience analyzing data sets to spot trends ...

Samaritan's Purse

Data Analyst

North Wilkesboro, NC · On-site

As a Data Analyst , you will be responsible for the collection, analysis, and dissemination of data ... Experience with Python and/or ArcGIS ModelBuilder (strongly preferred) * Familiarity with and/or ...

Quest Global

Data Analyst

Wilson, NC · On-site

$35 - $39.42/hr

Write and optimize Python queries to pull and clean data from various sources. * Data Preparation ... Experience with SAP data extraction, analysis, and reporting * Strong working knowledge of SQL ...

1 point system

Business Data Analyst

Greensboro, NC · On-site

Ideally a Data Analyst who is comfortable working with the business. Willing to settle for a strong ... Power BI * Python * Additional programming in Java, R Education: Degree or equivalent exp.

ALAMANCE FOODS INC

Engineering Data Analyst

Graham, NC · On-site

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 ...

TIAA

Lead Data Analyst

Charlotte, NC · On-site

$119K - $146K/yr

... Python Related Skills Collaboration, Continuous Improvement Mindset, Data-Driven Business ... Engineering/Analytics, Data Visualization, Predictive Modeling, Problem Solving, Programming ...

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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 Sep 9, 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.

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.

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.

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.

Is Python good for data analysts?

Python is widely used by data analysts due to its simplicity, extensive libraries like pandas and NumPy, and strong community support. It enables efficient data manipulation, analysis, and visualization, making it a valuable skill for the role.
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Python Data Analyst jobs near you
Infographic showing various Python Data Analyst job openings in North Carolina as of September 2026, with employment types broken down into 1% Internship, 1% As Needed, 83% Full Time, 11% Part Time, and 4% Contract. Highlights an 84% Physical, 3% Hybrid, and 13% Remote job distribution, with an average salary of $75,103 per year, or $36.1 per hour.

Data Analyst

Charlotte, NC • On-site

DATAECONOMY Inc
IT Services • 51 - 200 employees
Learn more about DATAECONOMY Incexternal

Other

Posted 22 days ago

Job description

Charlotte, United States | Posted on 06/04/2026

DATAECONOMY is one of the fastest-growing Data & Analytics company with global presence. We are well-differentiated and are known for our Thought leadership, out-of-the-box products, cutting-edge solutions, accelerators, innovative use cases, and cost-effective service offerings.

We offer products and solutions in Cloud, Data Engineering, Data Governance, AI/ML, DevOps and Blockchain to large corporates across the globe. Strategic Partners with AWS, Collibra, cloudera, neo4j, DataRobot, Global IDs, tableau, MuleSoft and Talend.

Data Analyst

Charlotte, NC

Full-time

Insurance Domain

Analytics & Reporting
  • Turn business questions from underwriting, claims, actuarial, and finance teams into well-structured analyses and repeatable reports.
  • Build and maintain dashboards and scorecards for KPIs such as loss ratio, combined ratio, premium growth, retention/lapse, and claims cycle time.
  • Perform exploratory analysis to surface trends, anomalies, and opportunities (e.g., emerging loss patterns, fraud indicators, leakage).
  • Document assumptions, definitions, and methodology so results are transparent and auditable.
Insurance Domain Analytics
  • Analyze policy, premium, claims, and billing data to support pricing, reserving, and portfolio management discussions.
  • Support loss-ratio, frequency/severity, and retention/churn analyses for P&C and/or L&A lines of business.
  • Partner with actuarial and underwriting teams to validate data and interpret results in business context.
Data Preparation & SQL
  • Write and optimize SQL to extract, join, and aggregate data from the lakehouse / data warehouse.
  • Profile, clean, and validate datasets; flag and help resolve data quality issues with engineering.
  • Build reusable, well-documented queries, views, and semantic-layer definitions.
Visualization & Stakeholder Enablement
  • Design clear, decision-oriented visualizations in Power BI / Tableau (or equivalent).
  • Translate analysis into concise narratives and recommendations for non-technical business stakeholders.
  • Enable self-service by documenting metrics and curating trusted data sources.
  • Strong SQL across cloud data warehouse / lakehouse environments (Databricks SQL, Snowflake, BigQuery, or similar).
  • BI/visualization tools Power BI and/or Tableau.
  • Spreadsheet modeling (Excel) for ad-hoc analysis.
  • Working knowledge of Python (pandas) for data wrangling is a plus.
Required Qualifications
  • 4–7+ years of experience in data analysis, business intelligence, or reporting.
  • Strong, demonstrable SQL skills (complex joins, window functions, aggregations, query tuning).
  • Proven experience building dashboards and reports in Power BI and/or Tableau.
  • Solid understanding of data modeling concepts (dimensional / star schema) from a consumer's perspective.
  • Ability to translate ambiguous business questions into structured analysis and clear deliverables.
  • Strong written and verbal communication with business stakeholders.
Preferred Skills
  • Insurance domain knowledge P&C and/or Life & Annuities; familiarity with premium, claims, and loss-ratio concepts.
  • Experience with cloud data platforms (Databricks, Snowflake, Azure/AWS/GCP).
  • Python (pandas) or R for analysis and automation.
  • Statistical analysis fundamentals and A/B or cohort analysis experience.
  • Exposure to data governance, metadata, and trusted-source / semantic-layer practices.
  • Awareness of PII/PHI handling and regulated-data sensitivity.
Requirements
  • Strong SQL complex joins, window functions, aggregation, query tuning
  • Power BI and/or Tableau dashboard and report development
  • Ability to translate business questions into structured analysis
  • Strong stakeholder communication and storytelling
  • 4–7+ years in data analysis / BI / reporting
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