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

VAST Data

Data Analyst, Customer Success

Raleigh, NC · On-site +1

Bachelor's degree in Business Analytics, Business, Computer Science, Data Science, or a related field * Experience: 3-5 years of experience as a data analyst; Customer Success experience preferred

New

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 ...

infini-tek

Sr Data Analyst, Data Products

Raleigh, NC · On-site

$90 - $130/hr

Builds dashboards to modernize analytics and assists management with special data projects. * Business Support - Enforces data policies and procedures across the enterprise. Encourages discussion and ...

Posted today

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 ...

Judge Group, Inc.

Data Analyst

Raleigh, NC · On-site

$27 - $28/hr

Data Analytics / Data Engineer Contractor This role supports two major system overhaul projects and ... Computer Science * Computer Engineering * Industrial Engineering * Or a related technical ...

New

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

... 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 ...

Damco Solutions

Databricks Data Specialist

Raleigh, NC · On-site

... analytical tools to address specific business challenges Qualifications : Required : • Strong understanding of data science concepts, including statistical learning and machine learning algorithms ...

McGough Construction

Manager, Data Science

Raleigh, NC · On-site

MANAGER, DATA SCIENCE The Manager of Data Science will build and lead a focused, high-impact team ... Operating in close partnership with business units, Central Analytics, and Data Engineering, this ...

Red Hat, Inc.

Principal Data Analyst

Raleigh, NC · On-site

$126 - $180/hr

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 ...

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 ...

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

Data Analyst Data Science information

See Durham, NC salary details

$32.9K

$79.9K

$131.4K

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

As of Aug 24, 2026, the average yearly pay for data analyst data science in Durham, NC is $79,856.00, according to ZipRecruiter salary data. Most workers in this role earn between $60,400.00 and $93,700.00 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 are popular job titles related to Data Analyst Data Science jobs in Durham, NC?

For Data Analyst Data Science jobs in Durham, NC, the most frequently searched job titles are:

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

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

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

Cities near Durham, 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 Durham, NC as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 13% Part Time, and 2% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $79,856 per year, or $38.4 per hour.

Data Analyst, Customer Success

VAST Data

Raleigh, NC • On-site, Remote

Full-time

Posted 3 days ago

New

Job description

Description
VAST Data is looking for a Data Analyst, Customer Success to join our growing team!
This is a great opportunity to be part of one of the fastest-growing infrastructure companies in history, an organization that is in the center of the hurricane being created by the revolution in artificial intelligence.
"VAST's data management vision is the future of the market." - Forbes
VAST Data is the data platform company for the AI era. We are building the enterprise software infrastructure to capture, catalog, refine, enrich, and protect massive datasets and make them available for real-time data analysis and AI training and inference. Designed from the ground up to make AI simple to deploy and manage, VAST takes the cost and complexity out of deploying enterprise and AI infrastructure across data center, edge, and cloud.
Our success has been built through intense innovation, a customer-first mentality and a team of fearless VASTronauts who leverage their skills & experiences to make real market impact. This is an opportunity to be a key contributor at a pivotal time in our company's growth and at a pivotal point in computing history.
Overview:
VAST is seeking a Data Analyst, Customer Success to join our growing analytics team. The candidate will roll up their sleeves and work hands-on to build analytics and dashboard visualizations that deliver actionable insights on core customer success metrics. The role will partner closely with stakeholders in the Customer Success organization to develop analytical solutions that improve VAST's reporting systems, data quality, and processes for metrics such as Time to Response, Time to Resolution, Customer Satisfaction, NPS, and Feature Adoption.
As a Data Analyst, Customer Success, this position will play a key role in transforming data into actionable insights that improve business outcomes. The Data Analyst will be part of teams that build and deliver accurate, accessible, and repeatable business reporting and insights to stakeholders across all levels.
The analyst will focus on defined questions, creating standard reports and dashboards. The role will be responsible for both building data models behind operational metrics, using SQL, and creating visually compelling dashboards in Tableau. We are seeking an analyst with intellectual curiosity with a natural desire to explore data and ask questions that lead to deeper insights.
Essential Duties and Responsibilities
  • Data Extraction and Modeling: Write SQL queries to extract and transform customer success data, ensuring data integrity and accuracy for reporting and analysis purposes
  • Business Understanding: Proactively seek guidance from senior analysts and stakeholders to build deeper understanding of Customer Success processes and metrics
  • Data Analysis: Collect, clean, and interpret data from various sources to provide actionable insights that support Customer Success objectives
  • Reporting: Develop ad-hoc reports and analytics packages for regular business reviews. Build and maintain reports in Tableau
  • Data Visualization: Develop and maintain Tableau visualizations to represent metrics, trends, and performance
  • Insights: Deliver analytics that answer key business questions and drive value and improved outcomes for Customer Success stakeholders
  • Data Management: Support efforts that improve the accuracy of reporting data. Identify data quality gaps, help improve the integrity of source data, and maintain documentation and data definitions for financial metrics. Escalate complex data issues as needed
  • AI-Enabled Efficiency: Use tools such as Cursor and Claude to speed up SQL development, documentation, and testing, and to reduce manual, repetitive analytics work
  • Process & Policy: Track and manage analytics work in Jira. Work cross-functionally to streamline data processes, troubleshoot issues, and collaborate to improve data across systems

Requirements
  • Education: Bachelor's degree in Business Analytics, Business, Computer Science, Data Science, or a related field
  • Experience: 3-5 years of experience as a data analyst; Customer Success experience preferred
  • Programming Languages: Proficient in SQL for data extraction and manipulation
  • Visualization Tools: Experience with Tableau for dashboard creation and data visualization
  • AI Tools: Some experience using AI-assisted coding and analysis tools (e.g., Cursor, Claude) to improve speed and quality of work
  • Data Visualization and Analytics: Strong analytical, problem-solving, and critical thinking skills. Proficient in BI tools like Tableau.
  • Domain Expertise: Familiar with Customer Success workflows, KPIs, and operational lifecycles of a software company preferred but not required
  • Project Tracking: Comfortable working in Jira to manage and track analytics tasks
  • Travel: Minimal travel required (approximately 10% or less annually)

Qualifications
  • A relentless drive and a customer-first mentality are essential.
  • An attention to detail that ensures accuracy and reliability in findings that leads to trust and credibility with stakeholders.
  • The ability to break down complex problems, identify patterns, and derive meaningful insights from data.
  • Intellectual curiosity with a natural desire to explore data and ask questions that lead to deeper insights.
  • The ability to convey data insights clearly and effectively to both technical and non-technical stakeholders.
  • Ability to manage multiple projects and deadlines while prioritizing tasks.
  • Ability to thrive in a culture of transparency and direct feedback.

Apply