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Data Analyst Data Science Jobs in Graham, NC (NOW HIRING)

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 ... Bachelor's degree in Data Science, Computer Science, Engineering, Statistics, or a related field ...

Varsity Tutors

Data Science Tutor

Durham, NC · Remote

$18 - $40/hr

What We Look For In a Data Science Tutor * Advanced Subject Mastery ... Deep knowledge of statistical analysis, data wrangling, exploratory data analysis, machine learning ...

Varsity Tutors

Data Science Tutor

Chapel Hill, NC · Remote

$18 - $40/hr

What We Look For In a Data Science Tutor * Advanced Subject Mastery ... Deep knowledge of statistical analysis, data wrangling, exploratory data analysis, machine learning ...

Varsity Tutors

Data Science Tutor

Greensboro, NC · Remote

$18 - $40/hr

What We Look For In a Data Science Tutor * Advanced Subject Mastery ... Deep knowledge of statistical analysis, data wrangling, exploratory data analysis, machine learning ...

Varsity Tutors

Data Science Tutor

Raleigh, NC · Remote

$18 - $40/hr

What We Look For In a Data Science Tutor * Advanced Subject Mastery ... Deep knowledge of statistical analysis, data wrangling, exploratory data analysis, machine learning ...

Town of Chapel Hill

HOUSING DATA ANALYST

Chapel Hill, NC · On-site

$67K - $88K/yr

Knowledge of data science and analytics Knowledge of housing concepts and performance measures Skills in data integration, system design, analytics and dashboard/report development using Power BI ...

NCSU

Data Science Librarian

Raleigh, NC · On-site

... creation, data analysis and visualization, and collaboration. Three branch libraries focus on ... The Data Science Services (DSS) department (6 librarians, 1 library specialist, plus graduate ...

CYNET SYSTEMS

Data Analyst

Raleigh, NC · On-site

$30 - $35/hr

Bachelor's degree in Data Analytics, Computer Science, Information Systems, Statistics, Public Health, Business Analytics, or a related field preferred. * Equivalent combination of education and ...

Redhat

Principal Data Analyst

Raleigh, NC · On-site +1

$125K - $180K/yr

Consult data consumers, analysts and data scientists on navigating data sources and interpreting data definitions to support their use cases. * Work collaboratively across functions and domains to ...

CYNET SYSTEMS

Data Scientist

Cary, NC · On-site

$65 - $70/hr

Data Analysis. * Statistics. Qualification And Education: * Bachelor's or master's degree in computer science, Data Science, Engineering, Mathematics, or a related field. Benefits Our Benefits ...

Dlapiper

Data Scientist

Raleigh, NC · On-site +1

Establishes best practices for data analysis and reporting. * Other duties as assigned. Skills and Competencies * A specialization in machine-learning, artificial intelligence, cognitive science or ...

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All JobsData Analyst Data Science JobsData Analyst Data Science Jobs in Graham, NC

Data Analyst Data Science information

See Graham, NC salary details

$27.3K

$66.4K

$109.3K

How much do data analyst data science jobs pay per year?

As of Sep 1, 2026, the average yearly pay for data analyst data science in Graham, NC is $66,419.00, according to ZipRecruiter salary data. Most workers in this role earn between $50,200.00 and $78,000.00 per year, depending on experience, location, and employer.

What does a data analyst in data science do?

A Data Analyst in Data Science collects, processes, and analyzes large sets of data to help organizations make informed decisions. They use statistical techniques and data visualization tools to identify trends, patterns, and insights from data. Their responsibilities often include cleaning data, creating reports, and communicating findings to stakeholders. Data Analysts play a key role in helping businesses optimize operations, understand customer behavior, and solve complex problems using data-driven approaches.

What are the key skills and qualifications needed to thrive as a data analyst in data science?

To thrive as a Data Analyst in Data Science, you need strong analytical skills, proficiency in statistics, and a relevant degree such as in mathematics, computer science, or a related field. Familiarity with tools like SQL, Python or R, and data visualization platforms such as Tableau or Power BI, along with industry-recognized certifications, is highly valued. Attention to detail, problem-solving abilities, and effective communication skills help you interpret data insights and convey findings to stakeholders. These skills are crucial for transforming raw data into actionable intelligence that drives strategic business decisions.

How do data analysts in data science typically collaborate with other departments or teams?

Data Analysts in Data Science frequently work cross-functionally, partnering with teams such as engineering, product management, marketing, and business intelligence. They translate complex data findings into actionable insights and tailor their communication to both technical and non-technical stakeholders. Regular collaboration may involve participating in meetings to understand business needs, designing dashboards for different teams, and providing data-driven recommendations to support company objectives. This collaborative environment not only enhances project outcomes but also fosters continuous learning and professional growth.

What is the difference between Data Analyst Data Science vs Data Engineer?

AspectData Analyst Data ScienceData Engineer
Required SkillsStatistics, programming (Python, R), data visualizationDatabase systems, ETL pipelines, programming (Python, Java)
Work EnvironmentAnalyzing data, building models, reportingBuilding and maintaining data infrastructure
CertificationsData Science certifications, SQL, PythonCloud certifications, database management
Industry UsageBusiness analysis, predictive modelingData infrastructure, big data systems

Data Analyst Data Science focuses on analyzing data and creating models to inform decisions, while Data Engineers build the systems that collect, store, and process data. Both roles require programming skills and often overlap in tools like Python and SQL, but their core responsibilities differ significantly.

What job categories do people searching Data Analyst Data Science jobs in Graham, NC look for?

The top searched job categories for Data Analyst Data Science jobs in Graham, NC are:

What cities near Graham, NC are hiring for Data Analyst Data Science jobs?

Cities near Graham, NC with the most Data Analyst Data Science job openings:

Data Analyst Data Science jobs near you
Infographic showing various Data Analyst Data Science job openings in Graham, NC as of August 2026, with employment types broken down into 1% As Needed, 81% Full Time, 15% Part Time, and 3% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $66,419 per year, or $31.9 per hour.

Business Data Analyst

Greensboro, NC • On-site

1 point system
IT Services • 51 - 200 employees
Learn more about 1 point systemexternal

Contractor

Re-posted 8 days ago

Job description

Onsite Interview

Description:

  • Project Details/Why is this req open?
  • In charge of all of data for North America. Ensuring no bugs, and business gets their data. Slowly entering AI space, and in middle of data migration from on prem and into the cloud. Will be part of that journey. Ideally someone that is eager to learn new technologies and grow with them.
    • Ideally a Data Analyst who is comfortable working with the business. Willing to settle for a strong BA with good SQL skills. 
    • With SQL - Knowing what’s in tables, SQL Server, Databricks, what is talking to what, etc.
    • Business uses Power BI but not critical, would be a plus to show data manipulation experience
    • Embed with business as they work with regularly
    • Task Example: New group that needs to be added into database tables. These tables talk here and there, which tables are missing in group, filter to understand which groups need to be added, then adjust accordingly
    • 10 week cycle with sprints inside depending on projects being supported (hybrid between Agile and Waterfall)
    • DevOps to document user stories (JIRA, Confluence, etc.)
  • Top Must-Haves:
    •  5+ years of Data Analysis exp. scripting with SQL and understanding relational databases
    •  BA skills, requirements gathering, working with business to translate function requests
    •  Strong soft skills-Ability to talk to the business
    •  Understanding of Agile and Waterfall methodologies
  • Pluses:
    • Databricks
    • Power BI
    • Python
    • Additional programming in Java, R

Education: Degree or equivalent exp.

Responsibilities:

  • Partner with product owners, product managers, data engineers, and business stakeholders to understand data requirements and business objectives.
  • Collect, clean, validate, and transform data from multiple sources to support analytics and reporting needs.
  • Analyze large and complex datasets to identify trends, patterns, and actionable insights.
  • Design, develop, and support data solutions, including data flows, ETL processes, and ingestion pipelines.
  • Develop and maintain dashboards, reports, and visualizations using tools such as Power BI, Tableau, and Excel.
  • Translate business questions into technical data solutions that support decision-making.
  • Support ad hoc data requests and ongoing reporting needs.
  • Assist with data modeling, data mapping, and data management best practices.
  • Troubleshoot data quality and performance issues in development and production environments.
  • Document data solutions, technical designs, and best practices.
  • Present insights and technical concepts clearly to both technical and non-technical stakeholders.
  • Stay current with emerging data technologies, tools, and industry trends.

Experience:

  • 5+ years of experience in a Data Analyst, Business Analyst (data-focused), Data Engineering, or similar role.
  • Strong proficiency in SQL and Excel.
  • Hands-on experience with data visualization and reporting tools such as Power BI or Tableau.
  • Solid understanding of data modeling, data structures, and data integration concepts.
  • Familiarity with cloud data platforms and concepts (Azure preferred).
  • Experience working with analytics and reporting from a business perspective.
  • Exposure to data integration tools such as Azure Data Factory or similar (preferred).
  • Experience with Python for data analysis or automation is a plus.
  • Knowledge of data governance, data privacy, and best practices is a plus.
  • Strong analytical, problem-solving, and troubleshooting skills.
  • Excellent communication skills with the ability to translate complex data concepts into clear, actionable insights.
  • Bachelor’s degree in Data Science, Computer Science, Engineering, Statistics, or a related field, or equivalent practical experience.