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Data Analyst Python Sql Jobs in North Carolina (NOW HIRING)

Northern Base

Data Engineer with Python and SQL

Charlotte, NC · On-site

$111K - $134K/yr

Hiring Alert | Data Engineer - Python & SQL Location: Charlotte, NC (Onsite) Employment Type: Full-Time Experience Required: 8+ Years Visa Type: USC / GC Only Must-Have Skills: * Python & SQL * Data ...

Judge Group, Inc.

Data Analyst

Raleigh, NC · On-site

$27 - $28/hr

Develop and execute SQL queries for data analysis and reporting. * Work within Snowflake to access, manage, and analyze data. * Build and maintain automation scripts using Python. * Utilize ...

Motion Recruitment

SQL Data Analyst

Charlotte, NC · Hybrid

A well-known Financial Services Company is looking for a Data Analyst who is well versed in SQL to work Charlotte, NC (Hybrid). Work with the brightest minds at one of the largest financial ...

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 · 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 ...

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 ... Big query/SQL- 5 Years * Python- 2 Years Preferred Skills (nice to have) * Generative AI/LLM ...

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 ...

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Data Analyst Python Sql information

What is a data analyst Python SQL?

Data Analyst Python SQL jobs involve analyzing and interpreting data to help organizations make informed business decisions. These professionals use Python for data manipulation, automation, and visualization, and SQL for querying and managing data stored in relational databases. Typical tasks include data cleaning, building reports, extracting insights, and creating dashboards. Data Analysts often collaborate with other teams to understand data requirements and communicate findings through presentations or visualizations. Proficiency in both Python and SQL is essential for efficiently handling large data sets and solving complex analytical problems.

What are the key skills and qualifications needed to thrive as a data analyst with Python and SQL?

To thrive as a Data Analyst specializing in Python and SQL, you need strong analytical skills, statistical knowledge, and proficiency in data manipulation, typically supported by a relevant degree or certification. Expertise in Python for data analysis, SQL for database querying, and experience with visualization tools like Tableau or Power BI are commonly expected. Attention to detail, problem-solving abilities, and effective communication are crucial soft skills for interpreting data and presenting actionable insights. These skills help ensure accurate analysis, impactful reporting, and informed decision-making within organizations.

How does a data analyst using Python and SQL typically collaborate with other departments within an organization?

Data Analysts proficient in Python and SQL frequently work alongside teams such as marketing, product development, finance, and operations. They gather requirements from stakeholders, translate business questions into data queries, and present actionable insights through dashboards or reports. Regular meetings and clear communication are essential to ensure that data solutions align with business goals, and Data Analysts often act as a bridge between technical data teams and non-technical decision makers. This collaborative environment helps drive data-informed decisions across the organization.

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

AspectData Analyst Python SqlData Scientist
Required SkillsExcel, SQL, Python basics, data visualizationAdvanced Python, machine learning, statistical modeling
Work EnvironmentBusiness intelligence, reporting, dashboardsPredictive modeling, research, complex data analysis
Industry UsageFinance, marketing, retail, healthcareTech, finance, research institutions, startups

While Data Analysts with Python and SQL focus on interpreting data, creating reports, and visualizations, Data Scientists build predictive models and perform advanced statistical analysis. Both roles require Python and SQL skills, but Data Scientists typically have a stronger background in statistics and machine learning, making their work more research-oriented.

What are popular job titles related to Data Analyst Python Sql jobs in North Carolina?

For Data Analyst Python Sql jobs in North Carolina, the most frequently searched job titles are:

What job categories do people searching Data Analyst Python Sql jobs in North Carolina look for?

The top searched job categories for Data Analyst Python Sql jobs in North Carolina are:

What cities in North Carolina are hiring for Data Analyst Python Sql jobs?

Cities in North Carolina with the most Data Analyst Python Sql job openings:

Data Analyst Python Sql jobs near you
Infographic showing various Data Analyst Python Sql job openings in North Carolina as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 14% Part Time, and 3% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution.

Moodys Reqs (Data Analyst/Java/.Net FSD/Product Analyst/Salesforce/Data Eng)

Charlotte, NC • On-site

Spruce Infotech
IT Services • 1 - 10 employees
Learn more about Spruce Infotechexternal

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This job post has expired 1 day ago. Applications are no longer accepted.

Job description

Technology stack
No. of positions
Location
Data Analyst - Python, SQL, Data Analysis
2
Charlotte, USA
Java FSE with Angular
2
Charlotte, USA
.Net FSE with Angular
2
Charlotte, USA
Product Analyst
1
Charlotte, USA
Data Engineer
1
Charlotte, USA
Salesforce
2
Charlotte, USA
Data Analyst JD:
  • Experience in data Analysis across various DB technologies
  • Experience in Python
  • Able to write complex SQL queries
  • Able to independently analyze & find errors in data
  • Should be bale to work in AGILE team

Product Analyst JD:
Quantitive and Qualitative analytical skills with the ability to translate business data analysis into actionable task, Ability to author thorough, detailed, high-quality doc, inclusing customer journey maps, user stories, use cases and test scripts, managinging requirements, and design-related activotoes for complex, multi-business, multi-system initiatives. Agile developement framework, product lifecycle development and jira.
.Net FSE with Angular - .net core 6/8, Microservices with Angular 10+ - 8 to 10 experience
Java FSE with Angular - Java 8/17, Springboot, Microservices, Angular with AWS/Azure - 8 to 10 years experience
Data Eng:
Required Skills
  • Strong SQL and Python/Scala expertise.
  • Experience with big data tools (Spark, Hadoop).
  • Cloud platform knowledge (AWS/Azure/GCP).
  • Familiarity with data warehousing (Snowflake, Redshift, BigQuery).
  • CI/CD and Git version control experience.

Salesforce:
Required Skills
  • Hands-on Salesforce configuration and development experience.
  • Proficiency in Apex, LWC, and SOQL.
  • Strong understanding of Salesforce security and data model.
  • Deployment and release management experience.
  • Salesforce Developer certification preferred.

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