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

GRVTY

Data Scientist - Senior

Fort Liberty, NC · On-site

In this role, you will design and deploy Python-based solutions and analytic pipelines that ... Strong SQL skills and experience querying relational databases. * Experience using Git-based ...

GRVTY

Data Scientist - Senior

Fort Liberty, NC

In this role, you will design and deploy Python-based solutions and analytic pipelines that ... Strong SQL skills and experience querying relational databases. * Experience using Git-based ...

Booz Allen Hamilton

Data Engineer

Fayetteville, NC

$77K - $176K/yr

You'll collaborate with analysts, AI engineers, developers, and stakeholders in a fast-paced, agile ... Develop SQL scripts and stored procedures for data processing and transformation. * Apply data ...

Booz Allen Hamilton

Data Engineer

Fayetteville, NC · On-site

$77K - $176K/yr

You'll collaborate with analysts, AI engineers, develop ers, and stakeholders in a fast-paced ... Develop SQL scripts and stored procedures for data processing and transformation. * Apply data ...

Booz Allen Hamilton, Inc.

Data Engineer

Fayetteville, NC · On-site

$77K - $176K/yr

You'll collaborate with analysts, AI engineers, developers, and stakeholders in a fast-paced, agile ... Develop SQL scripts and stored procedures for data processing and transformation. * Apply data ...

Booz Allen Hamilton, Inc.

Data Engineer

Fayetteville, NC · On-site

$77K - $176K/yr

You'll collaborate with analysts, AI engineers, developers, and stakeholders in a fast-paced, agile ... Develop SQL scripts and stored procedures for data processing and transformation. * Apply data ...

GDIT

Data Scientist Mid

Fort Liberty, NC · Hybrid

$109K - $148K/yr

May develop processes and machine learning based tools to monitor and analyze model performance and ... in Python and Bash, including API development and data manipulation. * Familiarity with SQL and ...

GDIT

Biostatistician

Fort Liberty, NC · On-site

Strong proficiency in Python or R for analytics, ML, and data manipulation, with disciplined software practices (modular code, testing mindset, version control). * Advanced SQL skills and hands-on ...

Booz Allen Hamilton

Data Engineer

Fayetteville, NC · On-site

$77K - $176K/yr

You'll use your experience in analytical exploration and data examination while you manage the ... Experience with programming languages such as Python and SQL, for processing, scripting, automation ...

GDIT

Data Engineer Senior Principal (Hybrid)

Fort Liberty, NC · Hybrid

$122K - $168K/yr

SQL Database experience * S3/Block Storage integration * Python scripting * 3-5 years of experience ... Experience understanding requirements, analyzing data, discovering opportunities, addressing gaps ...

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Showing results 21-40

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

Data Analyst Python Sql information

See Linden, NC salary details

$28.7K

$69.9K

$115K

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

As of Aug 7, 2026, the average yearly pay for data analyst python sql in Linden, NC is $69,863.00, according to ZipRecruiter salary data. Most workers in this role earn between $52,800.00 and $82,000.00 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 cities near Linden, NC are hiring for Data Analyst Python Sql jobs? Cities near Linden, NC 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 Linden, NC as of August 2026, with employment types broken down into 1% As Needed, 81% Full Time, 14% Part Time, and 4% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution, with an average salary of $69,863 per year, or $33.6 per hour.

Data Scientist - Senior

GRVTY

Fort Liberty, NC • On-site

Other

Re-posted 10 days ago

Job description

What You'll Be Doing:

We are seeking a senior-level Data Scientist to develop and operationalize advanced analytic solutions that directly enhance intelligence production and mission effectiveness. In this role, you will design and deploy Python-based solutions and analytic pipelines that integrate structured and unstructured data from multiple sources, including web APIs and enterprise repositories. You will create solutions, interactive dashboards, and analytic interfaces that improve analytic rigor, transparency, and reproducibility. Your work will modernize legacy workflows to ensure reliability, scalability, and maintainability in high-consequence environments.

What Impact You'll Have:

We are looking for a Senior Data Scientist,with experience processing and analyzing large datasets, who will use their technical knowledge, experience, and customer-centric focus to create and deliver world-class analytic processes, scripting solutions, and data modeling content. This is a mission-driven opportunity to support the DoD and Intelligence Community. The Data Scientist will coordinate with our clients to understand questions and issues involving the client's datasets, then determine the best method and approach to create data-driven solutions within program guidelines. This position will be relied upon as a Subject Matter Expert (SME), and be expected to lead/assist in the development of automated processes, architect data science solutions, automated workflows, conduct analysis, use available tools to analyze data, remain adaptable to mission requirements, and identify patterns to help solve some of the complex problems that face the DoD and Intelligence Community (IC).

What You Have to Have:

  • Active TS/SCI Clearance is required with the ability to obtain a CI Poly. 10+ years of relevant experience. (A combination of years of experience & professional certifications/trainings/degree can be used in lieu of the years of experience requirement)
  • Senior-level proficiency in Python with demonstrated experience in designing mission ready solutions.
  • Experience querying and integrating web APIs through Python to retrieve, normalize, and operationalize data.
  • Experience developing interactive data visualizations using Plotly, Seaborn, Matplotlib, Bokeh, or comparable tools.
  • Experience building dashboards and analytic interfaces using Dash, Streamlit, Panel, Tableau, or similar platforms.
  • Strong SQL skills and experience querying relational databases.
  • Experience using Git-based version control platforms such as GitLab or GitHub.
  • Proficiency with geospatial processing frameworks such as GDAL or ArcPy.
  • Proficiency with GIS desktop software such as ArcGIS Pro or QGIS.
  • Ability to write clear, concise technical documentation related to software systems and automated workflows.
  • Ability to operate independently at a senior level with limited oversight.
  • Familiarity with USSOCOM and broader U.S. military organizational structures.
  • Familiarity with common Intelligence Community (IC) data repositories.

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