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Data Analyst Python Sql Jobs in Greenville, NC (NOW HIRING)

isone

Senior Electric Grid Planning Analyst

Kinston, NC · Hybrid

$105K - $135K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Respond to data and information requests from regional and national reliability organizations, as ... Python, R, MATLAB, or SAS); This employer will not sponsor applicants for work visas for this ...

Old Dominion Freight Line, Inc.

Database Associate

Elm City, NC · On-site

$57K - $71K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Write and execute simple SQL queries to retrieve, update, and manipulate data as needed ... Strong analytical and problem-solving skills. * Ability to collaborate effectively with team ...

Sweatpals

Product Manager Internship

Greenville, NC · On-site

Data fluency - comfortable reading analytics dashboards, writing basic SQL, or at minimum knowing the right questions to ask and how to get answers * Exceptional written communication: your specs ...

isone

Senior Electrical Grid Planning Engineer

Kinston, NC · Hybrid

$145K - $180K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

... Analyst to meet these exciting challenges. NOTE: This role is currently located in Windsor, CT ... Respond to data and information requests from regional and national reliability organizations, as ...

Valicy

QA Automation Engineer

Greenville, NC · On-site

... checks, analyze issues, improve coverage, and move from manual validation to scalable quality ... accuracy, data sensitivity, security, quality standards, and production risk. REQUIREMENTS ...

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Showing results 21-40

All JobsData Analyst Python Sql JobsData Analyst Python Sql Jobs in Greenville, NC

Data Analyst Python Sql information

See Greenville, NC salary details

$32.6K

$79.2K

$130.3K

How much do data analyst python sql jobs pay per year?

As of Aug 15, 2026, the average yearly pay for data analyst python sql in Greenville, NC is $79,171.00, according to ZipRecruiter salary data. Most workers in this role earn between $59,900.00 and $92,900.00 per year, depending on experience, location, and employer.

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 Greenville, NC look for?

The top searched job categories for Data Analyst Python Sql jobs in Greenville, NC are:

What cities near Greenville, NC are hiring for Data Analyst Python Sql jobs?

Cities near Greenville, NC with the most Data Analyst Python Sql job openings:

Data Analyst Python Sql jobs near you

Senior AWS Developer

Kanak Elite Services Inc

Saratoga, NC • On-site

Contractor

Re-posted 23 days ago

Job description

Role: SENIOR AWS DEVELOPER

Location: North Carolina Local

Duration – 12+ Months

We have some urgent requirements with at least 10 years’ experience as Senior AWS Developer. This role involves close collaboration with the data modernization teams at ITD and DPH to design, implement, and manage AWS solutions that align with their technical requirements and business objectives.

 

MANDATORY – MUST HAVE:

  • Proficient in using various AWS services towards building enterprise level data lakes
  • Experience in modernizing applications, including refactoring, migration, and cloud-native development.
  • Data Ingestion & storage : S3, Amazon Kinesis Data Streams, Amazon Kinesis Data Firehouse, DMS
  • Data Processing & Transformation: AWS Glue, AWS Lambda, EMR, Athena, Amazon Managed Service for Apache Flink,AWS Step Functions, AWS SageMaker
  • Experience with DevOps practices and automation tools
  • Experience in software development, hands on coding using python scripts or any other object-oriented languages like Java/.net.
  • Experience with Agile/Scrum Framework environments.
  • Experience with data analytics, business intelligence solutions (like Power BI or AWS QuickSight )
  • AWS Certification
 
Feel free to reach out to me on anjali08@kanakits.com