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Analytics Engineer Jobs in Raleigh, NC (NOW HIRING)

Pwc

NGA AI Engineer Manager

Raleigh, NC · On-site

$73K - $244K/yr

Those in data science and machine learning engineering at PwC will focus on leveraging advanced ... You will work on developing predictive models, conducting statistical analysis, and creating data ...

IONNA LLC

NOC Engineer

Raleigh, NC · On-site

$80/hr

Drive analysis to the true technical root cause using raw telemetry: OCPP message logs, application ... Engineering Feedback & Prioritization * Provide concise, prioritized, evidence-backed input to the ...

IONNA LLC

NOC Engineer

Raleigh, NC · On-site

$80/hr

Drive analysis to the true technical root cause using raw telemetry: OCPP message logs, application ... Engineering Feedback & Prioritization * Provide concise, prioritized, evidence-backed input to the ...

IONNA LLC

NOC Engineer

Raleigh, NC · On-site

$80/hr

Drive analysis to the true technical root cause using raw telemetry: OCPP message logs, application ... Engineering Feedback & Prioritization * Provide concise, prioritized, evidence-backed input to the ...

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 ...

XTG

Data Engineer

Raleigh, NC · On-site +1

$111K - $133K/yr

The Data Engineer role is responsible for designing, building, and maintaining scalable data ... Partner with business stakeholders, analysts, and application teams to clarify data requirements ...

HDR

Traffic Engineer

Raleigh, NC · On-site

$84K - $115K/yr

Prepare traffic safety study reports, intersection and interchange operational analyses using HCS, VISSIM, TRANSMODELER, SYNCHRO, SIMTRAFFIC and other applicable Transportation Engineering Models ...

HDR

Traffic Engineer

Raleigh, NC · On-site

$84K - $115K/yr

Prepare traffic safety study reports, intersection and interchange operational analyses using HCS, VISSIM, TRANSMODELER, SYNCHRO, SIMTRAFFIC and other applicable Transportation Engineering Models ...

Hoffman & Hoffman Inc

Controls Engineer

Raleigh, NC · On-site

$60K - $80K/yr

ORGANIZES PROGRAMMING PROJECTS by accepting projects from engineering; analyzing programming workload timelines; understanding project requirements, sequence of operation and Alerton system type ...

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 ...

HDR

Traffic Engineer

Raleigh, NC · On-site

$84K - $115K/yr

Experience with traffic analysis and traffic engineering/design * Requires professional engineering license recognized by the licensing board for the location of the position offered. Example:

Ra

Marketing Analytics Manager

Raleigh, NC

Who is proficient in Applied Statistics/Econometrics, Statistical Programming, Database Marketing Management & Operations etc. Who is proficient in Customer-level data analysis. Qualifications Who ...

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Showing results 21-40

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 Aug 8, 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 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 analysts and data scientists. Their role often involves collaborating with teams to optimize data workflows and ensure data quality.

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.

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 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.
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:
Analytics Engineer jobs near you
Infographic showing various Analytics Engineer job openings in Raleigh, NC as of July 2026, with employment types broken down into 93% Full Time, and 7% Contract. Highlights an 84% In-person, and 16% Remote job distribution, with an average salary of $105,488 per year, or $50.7 per hour.

Salesforce Systems Analyst, Developer

Merz North America

Raleigh, NC • On-site

Full-time

Posted 6 days ago

Job description

About Us
Founded in 1908, Merz is a successful, family-owned specialty healthcare company with a rich history. As a leading global aesthetics business, our award-winning portfolio of injectables, devices, and skincare products empowers healthcare professionals to enhance confidence through aesthetic medicine. Our purpose is to fuel confidence by helping people look better, feel better, and live better. We believe you do not have to choose between living life and making a living. Live your best life with Merz Aesthetics.
A Brief Overview
The Salesforce Systems Analyst, Developer serves as a critical bridge between business stakeholders and technical teams, ensuring that business needs are clearly understood, documented, and translated into effective system solutions. This role evaluates existing systems, integrations and processes, identifies opportunities for improvement, and supports the design, implementation, and optimization of enterprise applications and integrations. The Systems Analyst, Developer plays a key role in driving operational efficiency, data quality, and user adoption across business and technology teams. This role combines business analysis with hands-on Salesforce configuration and junior development support, enabling faster delivery of scalable, business-aligned solutions.
What You Will Do
  • Business & Requirements Analysis:
    • Partner with business stakeholders to understand business objectives, processes, and system needs.
    • Elicit, analyze, and document functional and non-functional requirements.
    • Translate business requirements into clear system specifications, flow charts, user stories, and acceptance criteria.
    • Facilitate workshops, interviews, and working sessions to align requirements and solutions
  • System Design & Solution Support:
    • Collaborate with solution architects, developers, and vendors to design scalable and sustainable system solutions.
    • Contribute to Salesforce solution implementation, including hands-on configuration and development support.
    • Partner with developers to translate requirements into technical designs and build-ready specifications.
    • Support system configuration, enhancements, and integrations across enterprise platforms.
    • Evaluate system impacts of new requirements, changes, and enhancements.
    • Ensure solutions align with enterprise architecture, data governance, and security standards
  • Process Improvement & Optimization:
    • Analyze business processes and system workflows to identify gaps, inefficiencies, risks, and opportunities for improvement.
    • Recommend and support process optimization initiatives that improve operational efficiency, data quality, compliance, and user experience.
    • Partner with business stakeholders to gather, document, and refine requirements that align technology solutions with business objectives.
    • Support automation initiatives and continuous improvement efforts through process redesign and workflow optimization.
    • Collaborate with cross-functional teams to evaluate current-state processes and define scalable, sustainable future-state solutions.
    • Contribute to testing, documentation, user adoption, and change management activities to ensure successful solution implementation.
  • Testing & Implementation Support:
    • Develop and execute test scenarios and test cases to validate system functionality.
    • Support user acceptance testing (UAT), defect triage, and resolution.
    • Assist with deployment activities, documentation, and end-user enablement.
    • Support post-implementation review and ongoing optimization.
  • Stakeholder Communication & Documentation:
    • Serve as a trusted liaison between business, IT, and external partners.
    • Create and maintain system documentation, process flows, and functional design artifacts.
    • Provide clear, consistent communication on requirements, changes, risks, and dependencies.
  • Salesforce Development & Configuration Support:
    • Design, configure, and support Salesforce solutions using a declarative-first approach, including Flows, validation rules, custom fields, page layouts, and Lightning components.
    • Utilize Salesforce platform capabilities, including Flow Builder, process automation tools, object model design, and Lightning Experience features.
    • Apply knowledge of Salesforce architecture, including data model design, security configuration (profiles, permission sets, sharing rules), and object relationships.
    • Assist with Apex development, SOQL queries, and Salesforce development activities under the guidance of senior developers.
    • Support the development and maintenance of scalable, maintainable Salesforce solutions in collaboration with architects and developers.
    • Participate in API integrations, including testing, payload validation, troubleshooting, and support for REST and SOAP-based services.
    • Contribute to code reviews, deployment activities, release management, and CI/CD processes using tools such as Copado, Gearset, and Git-based workflows.
    • Troubleshoot and resolve application issues, production defects, data inconsistencies, and system performance concerns using logs, debugging tools, and monitoring techniques.
    • Maintain an understanding of Salesforce development best practices, integration patterns, and modern DevOps methodologies

Minimum Requirements
  • Bachelor's Degree in Arts/Sciences (BA/BS) Computer Science, Software Engineering, or related discipline.
  • 3-5 years Experience in a Systems Analyst, Business Analyst, Developer or similar role And
  • 3-5 years Strong experience with requirements gathering, documentation, and process analysis
  • 3-5 years Experience working with enterprise systems (Salesforce CRM, ERP, marketing platforms, data platforms, or similar)
  • 3-5 years Demonstrated experience working with system integrations and data flows, including
  • Apex Coding (Advanced proficiency)
  • Lightning Component Development (Independent proficiency)
  • SOQL Query Optimization (Foundational proficiency)
  • Salesforce Certified Administrator
  • Salesforce Certified Platform Developer I

Preferred Qualifications
  • Experience as a Salesforce systems analyst
  • Experience as a Salesforce developer
  • Salesforce Certified Sales Cloud Consultant
  • Salesforce Certified Service Cloud Consultant
  • Salesforce Certified Experience Cloud Consultant
  • Salesforce Certified Marketing Cloud Consultant

Technical & Functional Skills
  • Upstream and downstream data ingestion and activation between systems
  • Understanding of data movement across CRM, marketing automation, data platforms, and analytics tools
  • Ability to document source-to-target mappings, data dependencies, and integration impacts
  • Experience working in agile and/or hybrid delivery environments (e.g., Jira, user stories, backlogs)
  • Familiarity with data models, integrations, and APIs
  • Experience supporting global or cross-functional teams
  • Knowledge of compliance, data privacy, or regulated industries (preferred but not required)
  • Experience with platforms such as Salesforce, SAP, Marketing Automation, or Data Platforms
  • Strong analytical, problem-solving, and critical-thinking skills
  • Salesforce development skills (Apex, Flow, integrations) or prior experience in a developer capacity
  • Experience contributing to Salesforce configuration or development in Agile delivery team

Equal Opportunity Employer/Protected Veterans/Individuals with Disabilities
This employer is required to notify all applicants of their rights pursuant to federal employment laws. For further information, please review the Know Your Rights notice from the Department of Labor.

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