PIXIE

Business Process Productivity Analyst

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Business Process Productivity Analyst, offering a 6–12 month remote contract. Required skills include 7+ years in ERP analysis, strong analytical abilities, and experience with ServiceNow or SAP. Proficiency in Excel and Power BI is essential.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
Unknown
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🗓️ - Date
November 5, 2025
🕒 - Duration
More than 6 months
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🏝️ - Location
Remote
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📄 - Contract
Fixed Term
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🔒 - Security
Unknown
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📍 - Location detailed
United States
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🧠 - Skills detailed
#Automation #Libraries #AI (Artificial Intelligence) #Consulting #Scala #"ETL (Extract #Transform #Load)" #Microsoft Power BI #Storytelling #Oracle #Leadership #SAP #BI (Business Intelligence)
Role description
Business Process Productivity Analyst Location: Remote / Global Reports To: Director, Innovation & ERP Modernization COE Contract Duration: 6–12 months (with potential extension) Overview We’re looking for an experienced Business Process Productivity Analyst (Contractor) to help build the business cases that justify our next phase of Intelligent Workspace implementations on ServiceNow. This role focuses on transforming proof-of-concept (POC) outcomes into data-backed business value models that clearly demonstrate productivity, efficiency, and financial ROI across the enterprise — particularly in Finance, Procurement, Order Management, Maintenance, and Supply Chain. You’ll work with process owners, ERP experts, and AI/UX designers to measure and communicate how intelligent workflows reduce cost, time, and risk — and enable smarter, faster ways of working. Key Responsibilities Quantify business value: Analyze POC results and business process data to translate improvements into measurable KPIs (e.g., cycle-time reduction, productivity gain, cost avoidance). Develop ROI models: Create clear and defensible financial models showing payback, benefit realization, and scalability potential. Map process impact: Link automation and AI enhancements directly to ERP process outcomes and organizational objectives. Build executive business cases: Develop concise, KPI-driven business case documents and presentations to support investment decisions. Collaborate cross-functionally: Partner with solution architects, process SMEs, and design teams to align technical innovation with business value. Benchmark performance: Maintain libraries of standard KPIs and benchmarks across major ERP domains for consistent measurement. Support scaling: Provide insights and recommendations for extending POC success across additional business units or geographies. Required Skills & Experience 7+ years’ experience in ERP-related business process analysis, value engineering, or digital transformation roles. Strong understanding of core ERP process domains, including: Finance (AP, GL, Reporting, Close) Procurement (Source-to-Pay, Vendor Onboarding, Approvals) Order Management (Order-to-Cash, Fulfillment, Billing) Maintenance & Supply Chain (Inventory, Asset Mgmt, Logistics) Proven success creating quantitative business cases and ROI models using KPIs and process metrics. Strong analytical skills with proficiency in Excel, Power BI, or equivalent modeling tools. Excellent communication and storytelling abilities — can translate analytics into executive-level insight. Experience working with ServiceNow, SAP, Oracle, or automation/AI platforms. Preferred Background Prior experience in consulting, value realization, or enterprise transformation programs. Familiarity with process mining, task mining, or intelligent automation tools for quantifying performance improvement. Experience supporting proof-of-concept to production transitions in enterprise systems. Understanding of ServiceNow App Engine, ERP Canvas, or similar workflow orchestration platforms. Deliverables & Success Criteria Fully developed KPI-based business case per POC or use case. ROI model (Excel/Power BI) showing quantified business impact and payback. Executive-ready summary deck linking productivity improvements to financial outcomes. Measurable demonstration of business value enabling leadership to approve full rollout. Engagement Details Duration: 6–12 months (extension possible) Commitment: Full-time preferred (40 hours/week); flexible arrangement possible