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

This role will focus on investigating data issues, performing SQL analysis, validating data quality, researching data lineage, and acting as a bridge between business and technical teams. Key ...

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 ...

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 ...

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 ...

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 ...

Develop medium to complex SQL against either Oracle or SQL Server databases * Extensive knowledge ... Experience with Python programming language * Document warehouses to support cross training of co ...

Sr Data Analyst

Charlotte, NC

$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.

... SQL, Excel, or data visualization technologies including Tableau and Power BI. Knowing R or Python ... analysis and fresh insight discovery. Essential is the capacity to succinctly and simply ...

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Data Analyst Python Sql information

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 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 jobs can I get if I know Python and SQL?

Data analysts with Python and SQL skills can pursue roles such as data analyst, business intelligence analyst, or data scientist. These positions typically involve data extraction, cleaning, analysis, and visualization, often using tools like pandas, SQL databases, and visualization software. Strong programming and database management skills are essential for these roles.

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.

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 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:
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)

Spruce Infotech

Charlotte, NC • On-site

Contractor

Posted 24 days ago


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.