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Analytics Engineer Jobs in Raleigh, NC (NOW HIRING)

Duke University

Analytics Engineer

Durham, NC · On-site

Analytics Engineer, Data Analytics Practice Be You. The Data Analytics Practice within Duke University's Office of Information Technology (OIT) is seeking an Analytics Engineer to help transform ...

Duke University

Analytics Engineer

Durham, NC · On-site

Analytics Engineer, Data Analytics Practice Be You. The Data Analytics Practice within Duke University's Office of Information Technology (OIT) is seeking an Analytics Engineer to help transform ...

CAPTRUST

Analytics Engineer

Raleigh, NC · On-site

CAPTRUST is seeking an Analytics Engineer to design, build, and maintain analytics-ready data models that enable trusted reporting, self-service analytics, and downstream decision-making across the ...

CAPTRUST

Analytics Engineer

Raleigh, NC · On-site

CAPTRUST is seeking an Analytics Engineer to design, build, and maintain analytics-ready data models that enable trusted reporting, self-service analytics, and downstream decision-making across the ...

Deloitte

Data & Analytics Engineer

Raleigh, NC · Hybrid

$111K - $133K/yr

As an experienced Data & Analytics Engineer you will have the ability to share new ideas and collaborate on projects as a consultant without the extensive demands of travel. If so, consider an ...

GRAIL

Senior Data Engineer #4885

Durham, NC · On-site

$106K/yr

For more information, please visit grail.com As a Senior Data Analytics Engineer in Operational Intelligence, you will bridge Data Engineering, Data Science, and Analytics to curate and transform raw ...

Banc of California

VP, Analytics Engineering

Durham, NC

$173K - $224K/yr

THE OPPORTUNITY The VP, Analytics Engineering will lead the design and delivery of enterprise data products on the bank's Data Foundation Platform. Reporting to the VP, Data Engineering & Delivery ...

ProSidian Consulting

Senior Analyst/Programmer

Raleigh, NC · On-site

$43.25 - $58.50/hr

This individual must interact with analysts and programmers assigned to the project and have the ability to communicate effectively in oral or written form and maintain good working relationships ...

UnitedHealth Group

Principal Data Engineer

Raleigh, NC · On-site

$112K - $193K/yr

Provide technical leadership for analytics engineering, owning solution design, implementation, and operationalization across enterprise analytics platforms * Design, build, and optimize scalable ...

UnitedHealth Group

Principal Data Engineer

Raleigh, NC · Remote

$112K - $193K/yr

Provide technical leadership for analytics engineering, owning solution design, implementation, and operationalization across enterprise analytics platforms * Design, build, and optimize scalable ...

UnitedHealth Group

Principal Data Engineer

Raleigh, NC · Remote

$112K - $193K/yr

Provide technical leadership for analytics engineering, owning solution design, implementation, and operationalization across enterprise analytics platforms * Design, build, and optimize scalable ...

NCSU

Temporary IT Analyst / Programmer II

Raleigh, NC · On-site

$30 - $39/hr

... with NC Ag Analytics. The IT Analyst/Programmer II will collaborate with researchers and staff ... involved in PSI's grant-funded projects to support the integration of hardware into systems for ...

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All JobsAnalytics Engineer JobsAnalytics Engineer Jobs in Raleigh, NC

Analytics Engineer information

See Raleigh, NC salary details

$60.4K

$105.5K

$172.1K

How much do analytics engineer jobs pay per year?

As of Sep 15, 2026, the average yearly pay for analytics engineer in Raleigh, NC is $105,488.00, according to ZipRecruiter salary data. Most workers in this role earn between $78,776.00 and $118,405.00 per year, depending on experience, location, and employer.

What is an analytics engineer?

An Analytics Engineer is a professional who bridges the gap between data engineering and data analysis. They are responsible for designing, building, and maintaining data models, pipelines, and analytics tools that enable organizations to make data-driven decisions. Analytics Engineers often work closely with data analysts and business stakeholders to ensure clean, reliable, and well-structured data is available for reporting and analysis. Their work typically involves using SQL, data transformation tools like dbt, and cloud data warehouses to create scalable and efficient data solutions.

How does an analytics engineer typically collaborate with data scientists and business stakeholders on projects?

Analytics Engineers play a critical bridge role between data engineering and data analysis. They work closely with data scientists to transform raw data into clean, reliable datasets that are ready for advanced analytics or modeling. At the same time, they collaborate with business stakeholders to understand reporting needs, ensuring that data models align with business goals. Regular communication and iterative feedback are key, as Analytics Engineers often gather requirements, build data pipelines, and adjust data products based on stakeholder input.

What are the key skills and qualifications needed to thrive as an analytics engineer, and why are they important?

To thrive as an Analytics Engineer, you need a strong foundation in data modeling, SQL, and analytics engineering principles, often supported by a degree in computer science, data science, or a related field. Proficiency with data transformation tools such as dbt, cloud data warehouses like Snowflake or BigQuery, and version control systems like Git is essential. Strong problem-solving skills, communication, and collaboration abilities help translate business needs into scalable data solutions and foster teamwork. These skills and qualities are crucial for ensuring data quality, building reliable analytics infrastructure, and enabling data-driven decision-making across organizations.

What is the difference between Analytics Engineer vs Data Engineer?

AspectAnalytics EngineerData Engineer
CredentialsOften requires SQL, Python, data modeling certificationsRequires similar skills, often with additional focus on infrastructure and systems
Work EnvironmentFocuses on data analysis, visualization, and reportingBuilds data pipelines, manages data infrastructure
Industry UsageCommon in analytics teams, BI, and data-driven rolesPrevalent in data engineering, data platform teams

While both roles work closely with data, Analytics Engineers primarily focus on transforming data for analysis and visualization, whereas Data Engineers build the infrastructure and pipelines that enable data access. Understanding these differences helps in choosing the right career path or job role.

Do analytics engineers make good money?

Analytics engineers typically earn competitive salaries that vary by experience, location, and industry. They often have skills in SQL, data modeling, and tools like Python or Spark, which can contribute to higher compensation. Overall, the role is considered well-paying within the data and analytics field.

What do analytics engineers do?

Analytics engineers design, build, and maintain data pipelines and infrastructure to enable data analysis and reporting. They work with tools like SQL, Python, and data warehouses to ensure data is accurate, accessible, and well-structured for business insights.

What are the most commonly searched types of Analytics Engineer jobs in Raleigh, NC?

The most popular types of Analytics Engineer jobs in Raleigh, NC are:

What are popular job titles related to Analytics Engineer jobs in Raleigh, NC?

For Analytics Engineer jobs in Raleigh, NC, the most frequently searched job titles are:

What job categories do people searching Analytics Engineer jobs in Raleigh, NC look for?

The top searched job categories for Analytics Engineer jobs in Raleigh, NC are:

What cities near Raleigh, NC are hiring for Analytics Engineer jobs?

Cities near Raleigh, NC with the most Analytics Engineer job openings:

Infographic showing various Analytics Engineer job openings in Raleigh, NC as of September 2026, with employment types broken down into 100% Full Time. Highlights an 67% In-person, and 33% Remote job distribution, with an average salary of $105,488 per year, or $50.7 per hour.

Analytics Engineer

Durham, NC • On-site

Duke University
Colleges, Universities, and Professional Schools • 10K+ employees
Learn more about Duke Universityexternal

Full-time

Re-posted 16 days ago

Duke University rating

6.7

Company rating: 6.7 out of 10

Based on 55 frontline employees who took The Breakroom Quiz

Job description

Analytics Engineer, Data Analytics Practice
Be You.
The Data Analytics Practice within Duke University's Office of Information Technology (OIT) is seeking an Analytics Engineer to help transform institutional data into meaningful insights, applications, and decision-support tools that advance Duke's academic, research, and operational missions.
Duke University depends on trusted data professionals to support strategic decision-making, improve business processes, and enable increasingly sophisticated analytics and artificial intelligence capabilities. The Data Analytics Practice brings together expertise in analytics, data engineering, database administration, and AI engineering to unlock the value of institutional data across the university.
In this role, you will work across diverse data domains to solve complex business problems, build analytical products, and create intuitive data experiences that help stakeholders explore information and make informed decisions. You'll collaborate closely with data engineers, AI engineers, researchers, and business partners while leveraging modern analytics and AI-assisted development tools to rapidly prototype and deliver impactful solutions. If you're naturally curious, enjoy solving ambiguous problems, and are passionate about turning data into action, we'd love to hear from you.
Minimum Requirements
  • Bachelor's degree in Mathematics, Computer Science, Data Science, or another quantitative field, or an equivalent combination of education and experience.
  • Minimum of two years of professional experience in data analytics, software development, engineering, or a related field.
  • Proficiency in SQL and data analysis using Python, R, or a similar analytical programming language.
  • Experience exploring, cleaning, transforming, and interpreting complex datasets.
  • Experience building dashboards, reports, data visualizations, or interactive analytical applications.
  • Experience working with Git and collaborative, version-controlled development practices.
  • Understanding of common data formats and architectures, including JSON, CSV, Parquet, relational databases, data lakes, and dimensional modeling concepts.
  • Strong written and verbal communication skills with the ability to explain technical and analytical concepts to diverse audiences.
  • Demonstrated ability to manage projects independently and work effectively in a collaborative team environment.
  • Strong documentation and organizational skills.

Preferred Qualifications
  • Master's degree in Data Science, Computer Science, Analytics, Statistics, Mathematics, or a related quantitative discipline.
  • Experience applying statistical modeling, predictive analytics, or machine learning methods to business or research problems.
  • Experience working with AI-assisted development tools and coding agents.
  • Experience developing reusable analytical applications, workflows, or data products.
  • Experience working across multiple institutional or business data domains.
  • Other Requirements
  • Passion for turning complex data into practical insights and useful tools.
  • Curiosity and willingness to learn emerging technologies, analytics methods, and AI-enabled tools.
  • Ability to thrive in ambiguous environments and independently translate evolving requirements into scalable solutions.

Work Arrangement
  • Hybrid eligible. Candidate must be available for weekly meetings in Durham, NC.
  • This position does not offer visa sponsorship.

Be Bold.
What You'll Do
  • Collect, analyze, and interpret institutional data to support research, operational decision-making, and strategic initiatives across the university.
  • Explore and transform data from multiple sources to improve data quality, understand business logic, and uncover meaningful patterns, trends, and opportunities.
  • Apply analytical techniques, statistical methods, and machine learning approaches to answer complex business questions and generate actionable insights.
  • Design, build, test, and maintain analytical applications, dashboards, visualizations, and decision-support tools that enhance data accessibility and usability.
  • Leverage AI-assisted development tools to accelerate application development while ensuring quality, maintainability, and accuracy.
  • Manage projects from discovery through delivery, including requirements gathering, planning, stakeholder engagement, prioritization, testing, and implementation.
  • Communicate findings and recommendations to technical and non-technical stakeholders, providing context around assumptions, limitations, and business implications.
  • Develop and maintain clear documentation of data sources, analytical methods, business rules, and application functionality.
  • Promote best practices that improve the quality, scalability, consistency, and efficiency of analytics work across the Data Analytics Practice.

Choose Duke.
Duke University is a world-renowned institution dedicated to education, research, healthcare, and innovation. Within OIT, the Data Analytics Practice plays a critical role in helping the university leverage data as a strategic asset. By combining expertise in analytics, engineering, data management, and artificial intelligence, the team delivers solutions that help drive informed decision-making and support Duke's mission.
As Analytics Engineer, you'll work alongside talented data professionals, engineers, and institutional partners to solve meaningful challenges, develop innovative analytical solutions, and help shape Duke's evolving data and AI ecosystem. You'll join a collaborative environment that values curiosity, continuous learning, innovation, and professional growth while making a measurable impact across the university.
Duke is an Equal Opportunity Employer committed to providing employment opportunity without regard to an individual's age, color, disability, gender, gender expression, gender identity, genetic information, national origin, race, religion, sex (including pregnancy and pregnancy related conditions), sexual orientation or military status.
Duke aspires to create a community built on collaboration, innovation, creativity, and belonging. Our collective success depends on the robust exchange of ideas-an exchange that is best when the rich diversity of our perspectives, backgrounds, and experiences flourishes. To achieve this exchange, it is essential that all members of the community feel secure and welcome, that the contributions of all individuals are respected, and that all voices are heard. All members of our community have a responsibility to uphold these values.
Essential Physical Job Functions:
Certain jobs at Duke University and Duke University Health System may include essential job functions that require specific physical and/or mental abilities. Additional information and provision for requests for reasonable accommodation will be provided by each hiring department.

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About Duke University

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Duke is regarded as one of America's leading research universities. Located in Durham, North Carolina, Duke is positioned in the heart of the Research Triangle, which is ranked annually as one of the best places in the country to work and live. Duke has more than 15,000 students who study and conduct research in its 10 undergraduate, graduate, and professional schools. With about 40,000 employees, Duke is the third largest private employer in North Carolina, and it now has international programs in more than 150 countries.

Industry

Colleges, universities, and professional schools and hospitals

Company size

10,000+ Employees

Headquarters location

Durham, NC, US

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