Analytics Consultant 4 - Contingent

Charlotte, NC, US • Posted 30 days ago • Updated 10 hours ago
Full Time
On-site
USD $55.00 - 57.00 per hour
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Job Details

Skills

  • Business Analytics
  • Regulatory Compliance
  • Military
  • Decision Support
  • Test Scenarios
  • Evaluation
  • Manual Testing
  • Meta-data Management
  • Business Rules
  • Collaboration
  • Partnership
  • Business Operations
  • Change Management
  • Data Quality
  • Quality Assurance
  • Inventory
  • Business Analysis
  • PMO
  • Analytics
  • Analytical Skill
  • Problem Solving
  • Conflict Resolution
  • Data Manipulation
  • Modeling
  • Communication
  • Reasoning
  • Banking
  • Management Consulting
  • Artificial Intelligence
  • Testing
  • Manufacturing
  • Microsoft Excel
  • SAS
  • SQL
  • Python
  • Visualization
  • Training
  • Reporting

Summary

Position: Business Analytics Consultant
Location: Charlotte NC (Hybrid)
Duration: 12+ months
Job ID: 174189

Job Description:
In this contingent resource assignment, candidate may:
  • Consult on complex initiatives with broad impact and large-scale planning for Analytics.
  • Review and analyze complex multi-faceted, larger scale or longer-term Analytics challenges that require in-depth evaluation of multiple factors including intangibles or unprecedented factors.
  • Contribute to the resolution of complex and multi-faceted situations requiring solid understanding of the function, policies, procedures, and compliance requirements that meet deliverables.
  • Strategically collaborate and consult with client personnel.
Required Qualifications:
  • 5 plus years of Analytics experience, or equivalent demonstrated through one or a combination of the following: work or consulting experience, training, military experience, education.
Role Summary:
  • This analyst plays a critical role by turning complex operational data into clear insights that streamline QA processes, rationalize inventories, and support the adoption of AI-enabled quality solutions.
  • This is not a technical AI development role-the person does not need to understand how AI models work internally. Instead, success depends on strong analytical judgment, business sense, and the ability to evaluate AI-generated outputs, run structured test scenarios, and determine what is reliable, repeatable, and ready for use.
Candidate Will Do:
Analytics, Experimentation and Decision Support:
  • Run structured test scenarios against QA and inventory datasets; interpret results and provide recommendations-no AI modeling experience needed.
  • Translate metadata-rich datasets (e.g., ~2,500 QA reviews with many fields) into clear patterns, insights, and prioritization recommendations.
  • Identify the components of data that truly drive outcomes and determine which items should move toward automation.
  • Develop concise, insight-rich scenario analyses that guide decisions around efficiency, risk, and operational improvements.
AI-Enabled QA & Output Evaluation:
  • (No AI technical expertise or model-building skills required)
  • Partner with technical teams to evaluate outputs from AI/LLM models that support or replace manual QA activities.
  • Use strong analytical thinking to determine whether AI results make business sense, follow criteria, and meet quality thresholds.
  • Create and refine prompting strategies-not by understanding AI engineering, but by testing inputs and observing outcomes to learn what works.
  • Apply business judgment to escalate issues, recommend corrections, or determine when human oversight is needed.
Inventory Rationalization and Standardization:
  • Rationalize QA inventory by consolidating duplicative activities, standardizing taxonomies, and removing unnecessary variation.
  • Identify pattern similarity across QA reviews to streamline processes and expose automation opportunities.
  • Incorporate metadata and business rules into QA evaluations to enhance precision and consistency.
Stakeholder Partnership and Operating Model Support:
  • Work closely with business, operations, product, and engineering teams to validate inputs, interpret findings, and drive action.
  • Support governance forums with concise, decision-focused insights rather than large reporting packages.
  • Encourage consistent adoption of standardized processes, lifecycle expectations, and change management practices.
Data Quality, Controls and Tooling:
  • Ensure data accuracy, consistency, and traceability across QA and inventory datasets.
  • Use Advanced Excel and SAS to clean data, run comparisons, build scenarios, and generate insights.
  • Partner with technology teams to enhance telemetry and create more accessible analytics pipelines.
Required Qualifications:
  • 5 plus years in analytics, business analysis, quality/controls, PMO analytics, or similar fields.
  • Ability to analyze structured datasets and synthesize insights for operational and executive audiences.
  • Strong analytical judgment and problem-solving skills; able to determine when outputs "make sense."
  • Hands-on expertise with Advanced Excel and SAS for data manipulation and scenario modeling.
  • Excellent communication and business reasoning skills-able to translate data into decisions.
  • Comfort evaluating AI outputs, even without understanding AI technically.
Desired Qualifications:
  • Experience in banking or business consulting; an understanding of how operations and controls function.
  • Exposure to AI/LLM-enabled work is helpful but not required; willingness to learn through structured testing is sufficient.
  • Background in quality, manufacturing-style process discipline, or pattern classification.
  • Familiarity with governance routines, standardization efforts, and risk/control frameworks.
  • Experience identifying similarities in activities to support automation and process rationalization.
Tools and Technologies:
  • Advanced Excel (required)
  • SAS (required)
  • Optional: SQL, Python, or visualization tools for exploratory analysis.
Note:

Pay Range: $55 - $57 on W2

The specific compensation for this position will be determined by a number of factors, including the scope, complexity and location of the role as well as the cost of labor in the market; the skills, education, training, credentials and experience of the candidate; and other conditions of employment. Our full-time consultants have access to benefits including medical, dental, vision and 401K contributions as well as any other PTO, sick leave, and other benefits mandated by appliable state or localities where you reside or work.
If you receive a suspicious message, email, or phone call claiming to be from PTR Global do not respond or click on any links. Instead, contact us directly at +1 . To report any concerns, please email us at
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Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: ptrtx
  • Position Id: 174189
  • Posted 30 days ago

Company Info

About PTR Global

Pinnacle Group is a leading provider of information technology and workforce solutions. Pinnacle Group includes Pinnacle Technical Resources, Inc., its flagship information technology staffing and consulting services provider; Pinnacle MSP, a managed services provider; Pinnacle Payrolling, a payrolling and independent contractor compliance provider; Pinnacle Canada, which provides staffing, MSP and payrolling services in Canada.

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