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Manager Data Analytics Engineer Jobs in Durham, NC

GRAIL

Data Analytics Engineer 1 # 4878

Durham, NC · On-site +1

Your specific schedule, determined in collaboration with your manager, will align with team and ... Documents analytical logic, data sources, and methodologies to support transparency ...

CAPTRUST

Analytics Engineer

Raleigh, NC · On-site

... management, and monitoring/triage of model and test failures in partnership with Data Engineering * Owns the definition and implementation of analytics-ready business logic (e.g., conformed ...

CAPTRUST

Analytics Engineer

Raleigh, NC · On-site

... management, and monitoring/triage of model and test failures in partnership with Data Engineering * Owns the definition and implementation of analytics-ready business logic (e.g., conformed ...

Pwc

Data Engineer - Manager

Raleigh, NC · On-site

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Manager & Summary At PwC, our people in data and analytics engineering focus on leveraging advanced technologies and ...

Avison Young

Senior Analytics Engineer

Raleigh, NC · On-site

$93K - $120K/yr

Overview Join Avison Young's Data Architecture team as a Senior Analytics Engineer, where you will ... Build and manage dbt projects, including models, tests, documentation, and lineage * Design, deploy ...

Munich Re

Technical Architect - Data, Analytics & AI

Durham, NC · Hybrid

$61.50 - $79.25/hr

Define and maintain technical standards for enterprise data management, analytics platforms, and AI ... Collaborate with Data Science, Engineering, Security, and Risk teams to enable scalable, secure ...

Munich Re

Technical Architect - Data, Analytics & AI

Cary, NC · Hybrid

$59 - $76/hr

Define and maintain technical standards for enterprise data management, analytics platforms, and AI ... Collaborate with Data Science, Engineering, Security, and Risk teams to enable scalable, secure ...

ALAMANCE FOODS INC

Engineering Data Analyst

Graham, NC · On-site

Position Data Analyst - Manufacturing & Engineering Department Engineering Manager Engineering Manager Job Type Full-Time - Exempt Location On-Site - Burlington, NC Job Details Company Background ...

Archgroup

Manager, Data Engineer (Remote)

Raleigh, NC · Remote

$100K - $174K/yr

Job Summary Strategic Analytics at Arch is a growing team at the forefront of the company's AI ... Own end-to-end data engineering delivery across the project lifecycle. * Build strong partnerships ...

Archgroup

Manager, Data Engineer (Remote)

Raleigh, NC · Remote

$100K - $174K/yr

Job Summary Strategic Analytics at Arch is a growing team at the forefront of the company's AI ... Own end-to-end data engineering delivery across the project lifecycle. * Build strong partnerships ...

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 ...

Pwc

Data Engineer - Senior Manager

Raleigh, NC · On-site

$124K - $280K/yr

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Senior Manager & Summary At PwC, our people in data and analytics engineering focus on leveraging advanced technologies ...

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All JobsData Analytics Engineer JobsManager Data Analytics Engineer JobsManager Data Analytics Engineer Jobs in Durham, NC

Manager Data Analytics Engineer information

See Durham, NC salary details

$43K

$125.3K

$171.5K

How much do manager data analytics engineer jobs pay per year?

As of Aug 2, 2026, the average yearly pay for manager data analytics engineer in Durham, NC is $125,346.00, according to ZipRecruiter salary data. Most workers in this role earn between $110,600.00 and $132,900.00 per year, depending on experience, location, and employer.

What is the difference between Manager Data Analytics Engineer vs Data Analytics Engineer?

AspectManager Data Analytics EngineerData Analytics Engineer
Required CredentialsBachelor's or Master's in Data Science, Analytics, or related field; often leadership experienceBachelor's or Master's in Data Science, Analytics, or related field
Work EnvironmentLeads teams, manages projects, collaborates with stakeholdersDevelops data models, analyzes data, implements solutions
Employer & Industry UsageUsed in tech, finance, healthcare, and large enterprisesCommon in similar industries, often within data teams

The main difference is that a Manager Data Analytics Engineer oversees teams and projects, focusing on leadership and strategic planning, while a Data Analytics Engineer primarily develops and implements data solutions. Both roles require strong technical skills, but the manager role adds a layer of team management and stakeholder communication.

How does a Manager Data Analytics Engineer typically balance technical project work with team leadership responsibilities?

As a Manager Data Analytics Engineer, you are expected to split your time between overseeing complex analytics engineering tasks and guiding your team’s development. This involves setting project priorities, conducting code reviews, and ensuring data solutions align with business goals, while also mentoring team members and facilitating collaboration with stakeholders like data scientists and business analysts. Successful managers often establish clear communication channels and delegate tasks effectively, so they can stay hands-on with key projects while supporting the professional growth of their team.

What are the key skills and qualifications needed to thrive as a Manager Data Analytics Engineer, and why are they important?

To thrive as a Manager Data Analytics Engineer, you need a strong background in data engineering, analytics, and leadership, typically with a degree in computer science or a related field. Familiarity with tools like SQL, Python, data warehousing platforms (e.g., Snowflake, Redshift), and certifications in cloud technologies or data management are common requirements. Excellent communication, problem-solving, and team management skills set top performers apart in this role. These competencies are essential for driving data strategy, ensuring data quality, and leading analytics teams to deliver actionable business insights.

What is a Manager Data Analytics Engineer?

A Manager Data Analytics Engineer is a professional who leads a team of data analytics engineers responsible for designing, building, and maintaining data systems and analytics solutions. They oversee data pipeline development, ensure data quality, and collaborate with stakeholders to translate business requirements into technical solutions. In addition to technical expertise, they manage project timelines, mentor team members, and help drive data-driven decision-making across the organization.
What are popular job titles related to Manager Data Analytics Engineer jobs in Durham, NC? For Manager Data Analytics Engineer jobs in Durham, NC, the most frequently searched job titles are:
What job categories do people searching Manager Data Analytics Engineer jobs in Durham, NC look for? The top searched job categories for Manager Data Analytics Engineer jobs in Durham, NC are:
What cities near Durham, NC are hiring for Manager Data Analytics Engineer jobs? Cities near Durham, NC with the most Manager Data Analytics Engineer job openings:
Manager Data Analytics Engineer jobs near you
Infographic showing various Manager Data Analytics Engineer job openings in Durham, NC as of July 2026, with employment types broken down into 75% Full Time, and 25% Contract. Highlights an 100% In-person job distribution, with an average salary of $125,346 per year, or $60.3 per hour.

Data Analytics Engineer 1 # 4878

GRAIL

Durham, NC • On-site, Remote

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 13 days ago

Job description

Our mission is to detect cancer early, when it can be cured. We are working to change the trajectory of cancer mortality and bring stakeholders together to adopt innovative, safe, and effective technologies that can transform cancer care.
 
We are a healthcare company, pioneering new technologies to advance early cancer detection. We have built a multi-disciplinary organization of scientists, engineers, and physicians and we are using the power of next-generation sequencing (NGS), population-scale clinical studies, and state-of-the-art computer science and data science to overcome one of medicine's greatest challenges.
 
GRAIL is headquartered in the bay area of California, with locations in Washington, D.C., North Carolina, and the United Kingdom. It is supported by leading global investors and pharmaceutical, technology, and healthcare companies.
 
For more information, please visit grail.com

The Data Analyst 1 contributes to the organization's analytical capabilities by applying foundational professional judgment and technical skills to collect, prepare, and analyze structured and unstructured data. This role supports the development of analytical methods, reports, and visualizations that translate data into meaningful insights for business decision-making. It operates with growing independence in interpreting data requirements, applying analytical techniques, and ensuring the accuracy and consistency of information used by cross-functional partners. The position builds proficiency in industry-standard tools, data models, and analytical practices that enable the delivery of high-quality, insight-driven outputs.

This role is based at our Durham, North Carolina, office and offers a flexible working arrangement. It offers a flexible work arrangement, with the ability to work from GRAIL's office or from home. Our current flexible work arrangement policy requires that a minimum of 60%, or 24 hours, of your total work week be on-site. Your specific schedule, determined in collaboration with your manager, will align with team and business needs and could exceed the 60% requirement for the site.

Responsibilities:
  • Collects, transforms, and validates data from diverse sources, applying professional analytical techniques to ensure accuracy and reliability.
  • Performs exploratory and descriptive analysis to identify trends, patterns, and key performance drivers for business stakeholders.
  • Develops and maintains reports, dashboards, and visualizations that communicate analytical findings in a clear and actionable manner.
  • Interprets data requirements, collaborates with business partners, and applies professional judgment to structure analyses that meet defined objectives.
  • Documents analytical logic, data sources, and methodologies to support transparency, reproducibility, and continuous improvement.
  • Supports cross-functional initiatives by providing data-driven insights and contributing to analytical problem-solving efforts.
  • Identifies and recommends opportunities to streamline analytical workflows, standardize reporting, or enhance data quality.
  • Builds proficiency in analytics tools, data modeling concepts, and best practices to expand analytical independence and effectiveness.
Required Qualifications:
  • Bachelor's degree in Data Analytics, Statistics, Mathematics, Computer Science, Information Systems, Business, or related discipline with 0-2 years of relevant experience.
  • Demonstrated ability to collect, organize, and analyze data with attention to accuracy and detail.
  • Experience preparing reports, dashboards, or visualizations using Excel or introductory business intelligence tools.
  • Basic proficiency with SQL, Python, R, or comparable analytical tools.
  • Strong critical thinking and problem-solving skills in a data-driven environment.
  • Ability to communicate clearly with both technical and non-technical stakeholders.
  • Interest in learning new data analysis techniques and technologies to support business insights.
  • Demonstrated level of knowledge regarding applicable regulatory standards commensurate with the position's complexity and scope, contributing to organizational regulatory compliance. Minimal applicable standards for this position will vary depending on the part of GRAIL's organization the role will support.  
    • GMP quality management systems (e.g. ISO 13485)
    • Clinical laboratory regulations (e.g. CAP, CLIA, NYSDOH, ISO 15189)
    • Protected health information (e.g. HIPAA, GDPR)
    • Operations within the regulated medical device environment (e.g. IVDD, IVDR, FDA 21 CFR 800 series, FDA 21 CFR Part 11)
    • Development and Operations within a regulated clinical study environment (e.g.  ICH E6 (GCP), ISO 20916, FDA 21 CFR Part 11, Part 50, Part 54, Part 56)
  • Strong analytical and quantitative skills with the ability to interpret and communicate data findings clearly.
  • Proficiency with Excel and exposure to analytical tools such as SQL, Python, R, or Power BI/Tableau.
  • Basic understanding of data structures, relational databases, and data visualization principles.
Preferred Qualifications:
  • Attention to detail with a focus on data accuracy and integrity.
  • Ability to manage multiple priorities and meet deadlines in a fast-paced environment.
  • Effective written and verbal communication skills for presenting data insights to non-technical audiences.
  • Collaborative mindset with an eagerness to learn from experienced colleagues and contribute to team success.
Physical Demands and Work Environment:
  • Standard office environment with hybrid work model.
  • Occasional meetings across time zones may be required.
The expected, full-time, annual base pay scale for this position is $86K - $106K.  Actual base pay will consider skills, experience, and location.

This role may be eligible for other forms of compensation, including an annual bonus and/or incentives, subject to the terms of the applicable plans and Company discretion. This range reflects a good-faith estimate of the range that the Company reasonably expects to pay for the position upon hire; the actual compensation offered may vary depending on factors such as the candidate's qualifications. Employees in this role are also eligible for GRAIL's comprehensive and competitive benefits package, offered in accordance with our applicable plans and policies. This package currently includes flexible time-off or vacation; a 401(k) retirement plan with employer match; medical, dental, and vision coverage; and carefully selected mindfulness programs.
 
GRAIL is an equal employment opportunity employer, and we are committed to building a workplace where every individual can thrive, contribute, and grow. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, sex, gender, gender identity, sexual orientation, age, disability, status as a protected veteran, , or any other class or characteristic protected by applicable federal, state, and local laws. Additionally, GRAIL will consider for employment qualified applicants with arrest and conviction records in a manner consistent with applicable law and provide reasonable accommodations to qualified individuals with disabilities. Please contact us at [email protected] if you require an accommodation to apply for an open position.
 
GRAIL maintains a drug-free workplace. We welcome job-seekers from all backgrounds to join us!
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