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Commission Analyst Jobs in Raleigh, NC (NOW HIRING)

As a Senior Analyst, you will play a pivotal role leading and delivering AI enablement engagements, working directly with client stakeholders to design, build, and scale AI solutions. You will take ...

As a Senior Analyst, you will play a pivotal role leading and delivering AI enablement engagements, working directly with client stakeholders to design, build, and scale AI solutions. You will take ...

Senior FP&A Analyst

Chapel Hill, NC ยท On-site

$72K - $90K/yr

... Analyst will play a critical role in driving financial visibility, rigorous analysis, and data ... Administer the sales commission process, including calculation, reconciliation, and timely payment ...

Gather, analyze, and document business, functional, and technical requirements to support Benefits ... This job is not eligible for bonuses, incentives or commissions. Kforce is an Equal Opportunity ...

Perform in-depth analysis of systems/products to aid in a large-scale technology migration program ... This job is not eligible for bonuses, incentives or commissions. Kforce is an Equal Opportunity ...

Sales Operations Analyst 2

Raleigh, NC ยท On-site +1

$30.88 - $47.84/hr

The Sales Operations Analyst 2 exercises judgment when following general instructions and works ... This position may also be eligible for bonus, commission, and/or equity. For positions with Remote ...

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Commission Analyst information

See Raleigh, NC salary details

$15

$34

$64

How much do commission analyst jobs pay per hour?

As of Aug 3, 2026, the average hourly pay for commission analyst in Raleigh, NC is $34.97, according to ZipRecruiter salary data. Most workers in this role earn between $24.52 and $40.91 per hour, depending on experience, location, and employer.

How much do commission analysts make in the US?

Commission analysts in the US typically earn a median annual salary of around $60,000 to $80,000, depending on experience, industry, and location. They often work with sales data, commission structures, and financial analysis tools to optimize compensation plans.

How does a commission analyst typically collaborate with sales and finance teams?

As a Commission Analyst, you'll frequently work with both sales and finance teams to ensure commission calculations are accurate and align with company policies. You'll gather data from sales representatives, verify deal information, and interpret compensation plans. This collaboration often involves clarifying sales activity, resolving discrepancies, and providing timely reports to support payroll cycles. Strong communication and problem-solving skills are essential, as you'll act as a bridge between departments to facilitate smooth commission processing.

What are the key skills and qualifications needed to thrive as a commission analyst?

To excel as a Commission Analyst, you need strong analytical skills, attention to detail, and a background in finance, accounting, or a related field, often supported by a relevant degree. Familiarity with commission management software, Excel, and ERP systems such as SAP or Oracle is typically required. Exceptional problem-solving abilities, effective communication, and the ability to manage confidential information make candidates stand out. These skills ensure accurate commission calculations, compliance with company policies, and clear communication with sales teams, all of which are critical for organizational integrity and motivation.

What is a commission analyst?

Commission Analysts are professionals responsible for calculating, tracking, and analyzing commissions paid to employees, such as sales representatives, within an organization. They ensure that commission payments are accurate, timely, and in compliance with company policies and relevant regulations. Commission Analysts often work closely with the sales, finance, and payroll departments to reconcile sales data, resolve discrepancies, and generate reports to support business decisions. Their role is vital in maintaining trust and transparency regarding incentive compensation.

What is the difference between Commission Analyst vs Sales Compensation Analyst?

AspectCommission AnalystSales Compensation Analyst
Required CredentialsBachelor's degree in finance, accounting, or related field; experience with commission structuresBachelor's degree in business, finance, or HR; knowledge of sales incentive plans
Work EnvironmentOffice setting, finance or sales departmentsOffice setting, HR or sales operations teams
Employer & Industry UsageFinancial services, manufacturing, retailRetail, technology, manufacturing
Common Search & ComparisonYesYes

The main difference between a Commission Analyst and a Sales Compensation Analyst lies in their focus areas. Commission Analysts primarily handle commission calculations and ensure accuracy in sales commissions, often working closely with finance and sales teams. Sales Compensation Analysts, on the other hand, develop and manage sales incentive plans, aligning compensation strategies with business goals. Both roles require similar credentials and are used across various industries, but their specific responsibilities differ slightly.

What are the most commonly searched types of Analyst jobs in Raleigh, NC? The most popular types of Analyst jobs in Raleigh, NC are:
What are popular job titles related to Commission Analyst jobs in Raleigh, NC? For Commission Analyst jobs in Raleigh, NC, the most frequently searched job titles are:
What job categories do people searching Commission Analyst jobs in Raleigh, NC look for? The top searched job categories for Commission Analyst jobs in Raleigh, NC are:
What cities near Raleigh, NC are hiring for Commission Analyst jobs? Cities near Raleigh, NC with the most Commission Analyst job openings:
Infographic showing various Commission Analyst job openings in Raleigh, NC as of July 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $72,654 per year, or $34.9 per hour.

Senior Analyst- AI Engineer

CREO

Durham, NC โ€ข Remote

Full-time

Posted 14 days ago


Job description

JOB DESCRIPTION OVERVIEW
CREO’s AI Enablement team helps life sciences, healthcare, and technology organizations unlock the value of AI through strategy, governance, adoption change management, hands-on upskilling, and development. As a Senior Analyst, you will play a pivotal role leading and delivering AI enablement engagements, working directly with client stakeholders to design, build, and scale AI solutions. You will take ownership of workstreams, lead technical delivery, and help drive AI strategy and adoption across client organizations.
This role is ideal for a technically strong, hands-on practitioner who is as comfortable building AI agents as they are guiding executive and non-technical stakeholders on how and why to use them. The right candidate is deeply curious, adapts quickly in a fast-moving AI landscape, and brings the communication skills to translate technical possibilities into practical business outcomes — from the executive conference room to a one-on-one coaching session with an end user.
Experience working in health and life sciences is a plus. 
POSITION RESPONSIBILITIES
Build and Deploy AI Solutions
This is the technical core of the role. You will design, build, test, and deploy AI-powered solutions aligned to client business requirements.
  • Lead the design, build, test, and deployment of AI agents, assistants, and workflow automations aligned to client business objectives using platforms such as Microsoft Copilot Agent Builder, Azure AI Foundry, Azure OpenAI, and the Anthropic API.
  • Own the end-to-end lifecycle of AI solutions, from requirements and architecture through deployment and optimization
  • Comfortable working in regulated or compliance-sensitive environments with appropriate documentation and oversight.
  • Navigate technical solutioning discussions with client and internal stakeholders; translate requirements into scalable AI architectures.
  • Assess, classify, and document AI solutions within client governance frameworks; guide AI intake, risk documentation, and compliance-sensitive oversight processes.
  • Ensure solutions are built for reuse and scalability by packaging lessons learned, reusable prompts, agent templates, and solution blueprints into CREO assets.
  • Working knowledge of agentic AI concepts including RAG, tool use, and knowledge base configuration; exposure to multi-agent architectures a plus.
  • Convert requirements from AI program leads, champions, cloud teams, and solution architects into functional AI solutions; generate supporting AI solution proposal documentation.

AI Process Engineering
Analyzing current workflows, documenting business operations, and collaboratively reengineering processes to incorporate advanced technologies such as AI, process automation, and analytics, you will partner with stakeholders across business and technology functions to ensure that redesigned workflows are efficient, scalable, and aligned with organizational goals.
  • Analyze, document, and map current-state (as-is) business processes, identifying pain points, inefficiencies, and opportunities for automation and optimization.
  • Design future-state (to-be) processes that integrate AI capabilities, workflow automation, and decision support.
  • Conduct stakeholder interviews and workshops to gather requirements and build consensus across cross-functional teams.
  • Collaborate with solution architects, developers, and subject matter experts to translate process requirements into actionable technical designs.
  • Develop detailed documentation including process maps, gap analyses, functional requirements, and operating procedures to guide solution implementation.
  • Ensure process designs align with regulatory and compliance requirements specific to the life sciences and healthcare industries.
  • Support change management efforts, including user training and adoption activities, to ensure successful implementation of redesigned processes.
  • Monitor and evaluate implemented solutions for effectiveness and recommend improvements based on performance metrics and stakeholder feedback.
Support AI Enablement Workstreams
You will contribute across the full lifecycle of client AI programs, from discovery through deployment and adoption.
  • Assist client scoped AI enablement workstreams or engagements, ensuring delivery quality, timelines, client satisfaction, and alignment with business outcomes and ensuring technical requirements, design and legitimacy.
  • Translate client pain points and workflow friction into strategic, practical AI opportunities such as chatbots, workflow automations, knowledge management tools, analytics assistants, onboarding tools, and operational support applications.
  • Work 1:1 with business users to understand their workflows, identify friction points, and prototype or refine AI solutions that fit their day-to-day reality
  • Draft requirements documents for AI prototypes and solutions, capturing functional specifications, data inputs, governance considerations, and user acceptance criteria.
  • Serve as a right hand to client-side AI leaders, program leads, and champion communities — coordinating meetings, capturing decisions, and keeping momentum between sessions
  • Comfortable managing personal workload across multiple concurrent engagements; able to prioritize tasks, meet deadlines, and proactively communicate status and progress to the team.
  • Partner with senior AI Enablement consultants, AI engineers, and client leaders to deliver AI strategy, enablement, and implementation support across client engagements.
  • Maintain personal billable utilization of 1700 hours per year. 
Drive AI Adoption, Training, and Continuous Improvement
You will help clients and internal teams understand, adopt, and get practical value from AI solutions while staying current in a fast-evolving AI landscape.
  • Present and train non-technical audiences on how to use AI solutions, including agents, assistants, and Copilot-based tools, in a clear, practical, and confidence-building way.
  • Build training materials, onboarding resources, user guides, prompt libraries, and supporting documentation that explain how AI solutions work and the business problems they are designed to solve.
  • Support AI adoption and change management efforts, including workshops, office hours, internal communications, awareness campaigns, and champion enablement sessions.
  • Communicate clearly with technical and non-technical stakeholders, translating requirements, workshop outputs, and technical concepts into structured, actionable client-facing materials.
  • Stay current on emerging AI tools, platforms, and agent frameworks, and apply that learning to improve client solutions, internal delivery assets, and team knowledge sharing.
  • Support the co-design and co-facilitation of CREO’s AI Foundations workshops, champion kick-offs, hands-on labs, and recurring office hours. Facilitation experience is a plus; comfort in front of a room is essential.

SKILLS & QUALIFICATIONS
We hire for curiosity, technical depth, and the ability to bring others along. If you meet most of these qualifications and are excited about the work, we encourage you to apply.
  • 2–4+ years of relevant experience in technical consulting, AI engineering, professional services, business process improvement, business analysis, or systems implementation, preferably within healthcare, life sciences, or another regulated industry.
  • Hands-on experience building AI agents, assistants, workflow automations, or AI-enabled solutions using platforms such as Azure OpenAI, Azure AI Foundry, Microsoft Copilot Studio, Google Vertex AI, Google Agent Builder, Anthropic, OpenAI, AWS Bedrock, or comparable frameworks.
  • Proficiency in Python for scripting, data processing, and API integration; familiarity with JavaScript or PowerShell is a plus.
  • Experience working with APIs, knowledge bases, and structured or unstructured data as inputs to AI solutions.
  • Deep working fluency with the Microsoft 365 suite, including Copilot, Teams, SharePoint, OneDrive, and Copilot Studio.
  • Exceptional verbal and written communication skills; able to explain AI technology clearly to non-technical audiences without sacrificing accuracy.
  • Comfortable participating in stakeholder interviews and discovery sessions; able to translate pain points into structured requirements and practical AI opportunities.
  • Comfortable working 1:1 with business users to understand workflows and prototype AI solutions.
  • Self-directed and organized; able to manage multiple workstreams with competing priorities.
  • Genuine curiosity and a demonstrated ability to learn quickly in a fast-evolving AI landscape.
  • Strong proficiency in PowerPoint and Word; strong working knowledge of Excel and Outlook.
  • Bachelor’s degree in a relevant field or equivalent work experience.
  • Commitment to CREO’s core values and making a better, healthier world.
Preferred Qualifications
  • Experience building multi-agent architectures, implementing RAG pipelines, or working with vector databases and embedding models.
  • Hands-on experience building SharePoint sites, Power Apps, or Power Automate flows.
  • Experience designing, coordinating, or facilitating training workshops or enablement programs; comfort presenting in front of a room is a plus.
  • Exposure to life sciences, biotech, healthcare, or other regulated industries.
  • Familiarity with AI governance concepts: responsible AI, risk frameworks, and enterprise AI policies.
  • Project or program coordination experience.
  • Relevant AI certifications such as Generative AI for Everyone (DeepLearning.AI), Microsoft AI Fundamentals, or equivalent.
  • Preference given to candidates in the Raleigh-Durham, NC area or a life science hub (San Diego, Boston, San Francisco Bay, Orange County, Seattle)
Please note: This application may be reviewed in part by automated systems to help identify qualified candidates.
 

 

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