Senior Business Analytics Consultant

Job Title: Senior Business Analytics Consultant Location: Charlotte, NC (Hybrid - 3 days onsite) Job Type: Contract Max Pay Rate: $52/hr Role Overview Seeking a Senior Business Analytics Consultant to transform complex operational and QA data into actionable insights that improve efficiency, streamline quality processes, and support adoption of AI-enabled quality solutions. This role focuses on analytical judgment, structured testing, and evaluating outputs—not building AI models. Key Responsibilities Analytics, Experimentation & Decision Support • Analyze complex QA and inventory datasets to identify patterns, insights, and improvement opportunities • Run structured test scenarios and translate results into clear recommendations • Identify drivers of outcomes and opportunities for automation and efficiency AI-Enabled QA & Output Evaluation • Evaluate outputs from AI/LLM tools supporting QA processes • Determine accuracy, reliability, and business validity of results • Refine prompt strategies through structured testing and observation • Escalate risks and recommend corrective actions when needed Inventory Rationalization & Process Improvement • Consolidate duplicative QA activities and standardize taxonomy • Identify pattern similarities and streamline workflows • Improve process precision through data and business rule application Stakeholder Collaboration • Partner with business, operations, product, and technology teams • Deliver concise, decision-focused insights to leadership and governance groups • Support adoption of standardized operating practices Data Quality & Analytics • Ensure accuracy, traceability, and consistency of data • Use Advanced Excel and SAS for scenario modeling and analysis • Support improvements to analytics pipelines and telemetry Required Qualifications • 5+ years in Analytics, Business Analysis, QA/Controls Analytics, or similar field • Strong analytical reasoning and ability to interpret complex datasets • Hands-on expertise with Advanced Excel and SAS • Ability to translate data into business insights and decisions • Strong communication and stakeholder collaboration skills • Comfortable evaluating AI/LLM outputs (no AI development required) Preferred Qualifications • Experience in banking, consulting, operations, or controls environment • Exposure to AI/LLM-supported workflows (not mandatory) • Background in quality, process optimization, or pattern classification • Familiarity with governance, risk, or control frameworks • SQL, Python, or visualization tool exposure