TECO-Westinghouse
What This Role Requires
Hands-on analyst who can turn noisy operational, market, and customer data into decisions: build usable performance dashboards, automate complex quotation workflows, enable production of reliable SKU-level forecasts, and operationalize pricing that adapts to market conditions. Your work will directly improve margin, hit rate, lead time, inventory, and ROI on growth investments. Data Capture & Performance Dashboards
Build and maintain automated pipelines that pull data from ERP, CRM, e-commerce, distributor POS, and finance systems. Model clean, governed datasets and publish dashboards for: bookings/shipments/backlog, price realization & discount waterfall, quote-to-order cycle time, win rate, OTD/fill rate, inventory turns/DOH, and product margin by SKU/family. Define and own metric logic (MAPE/WAPE, forecast bias, price leakage, OEE roll-ups) and data quality rules. Forecasting by SKU (Motors & AC Drives)
Produce rolling SKU-location-customer forecasts using time-series + causal models; segment by horsepower class, frame (NEMA/IEC), voltage, enclosure, efficiency tier, and drive topology. Fuse customer pipeline, distributor inventory/POS, channel partner forecasts, and external indicators (e.g., PMI/industrial production, vertical indices) to improve accuracy. Implement ABC/XYZ and service-level targets; publish forecast accuracy dashboards (MAPE/WAPE/bias) with drill-downs to product/region/segment. Quotation & Workflow Automation (CPQ)
Automate a complex quotation environment (configurable BOMs, options, alternates) using CPQ guardrails, auto-approvals, and margin floors. Reduce quote cycle time with templates, guided selling, and rules for standard vs. modified order. Pricing Intelligence & Dynamic Updates
Operationalize market-responsive pricing: link cost indices (copper, steel, magnets, freight, energy), FX, competitor benchmarks, and elasticity tests to automated price updates by family/SKU/region. Maintain price waterfalls and monitor discount leakage. Build APIs/feeds to push new price lists into CPQ/e-commerce with approval workflows and audit trails. Business Cases & ROI Reporting
Lead investment cases for new SKUs, capacity, tooling, channels, and digital projects; deliver ROI/NPV/IRR with sensitivity scenarios and stage-gate KPIs. Create post-investment tracking with clear "benefits realization" scorecards tied to P&L (revenue, GM, SG&A impact) and cash (payback). Predictive Market Analysis & Segmentation
Size and forecast end-markets (e.g., HVAC, water/wastewater, material handling, F&B, mining/O&G, automotive) and roll up to total addressable/served/obtainable markets. Quantify share, growth, and price/mix effects by geography, channel (OEM/Distribution/MRO), and product family; brief leadership monthly with risks & opportunities. Cost & Burden Analysis for Volume Deals
Model overhead/burden absorption and learning effects to quantify price floors for volume orders. Provide "should-cost" BOM roll-ups, capacity utilization impacts, and breakeven curves; recommend tiered volume pricing that protects margin while filling capacity. Example levers you'll quantify: lot sizes & setup times, and freight consolidation. Required Qualifications
58+ years in analytics, pricing, or commercial operations within industrial/manufacturing; motors, drives, power transmission, or adjacent electro-mechanical categories strongly preferred. Demonstrated delivery of SKU-level forecasts and pricing programs used by Sales/Operations at scale. Financial modeling skills (ROI, NPV/IRR, sensitivity) and comfort presenting to executives. Excellent requirements gathering, documentation, and stakeholder communication. Preferred Qualifications
Domain knowledge: Industrial Distribution and OEM business models. Expert level with Excel platform. Working Style
Builder mindset, comfortable with imperfect data; proactive with Sales, Product Management, Supply Chain, Finance, and IT. Clear, concise storytelling with executives; rigorous documentation and change control. Education
B.S./M.S. in Engineering, Statistics, Data Science, Economics, Finance, or equivalent experience.
Hands-on analyst who can turn noisy operational, market, and customer data into decisions: build usable performance dashboards, automate complex quotation workflows, enable production of reliable SKU-level forecasts, and operationalize pricing that adapts to market conditions. Your work will directly improve margin, hit rate, lead time, inventory, and ROI on growth investments. Data Capture & Performance Dashboards
Build and maintain automated pipelines that pull data from ERP, CRM, e-commerce, distributor POS, and finance systems. Model clean, governed datasets and publish dashboards for: bookings/shipments/backlog, price realization & discount waterfall, quote-to-order cycle time, win rate, OTD/fill rate, inventory turns/DOH, and product margin by SKU/family. Define and own metric logic (MAPE/WAPE, forecast bias, price leakage, OEE roll-ups) and data quality rules. Forecasting by SKU (Motors & AC Drives)
Produce rolling SKU-location-customer forecasts using time-series + causal models; segment by horsepower class, frame (NEMA/IEC), voltage, enclosure, efficiency tier, and drive topology. Fuse customer pipeline, distributor inventory/POS, channel partner forecasts, and external indicators (e.g., PMI/industrial production, vertical indices) to improve accuracy. Implement ABC/XYZ and service-level targets; publish forecast accuracy dashboards (MAPE/WAPE/bias) with drill-downs to product/region/segment. Quotation & Workflow Automation (CPQ)
Automate a complex quotation environment (configurable BOMs, options, alternates) using CPQ guardrails, auto-approvals, and margin floors. Reduce quote cycle time with templates, guided selling, and rules for standard vs. modified order. Pricing Intelligence & Dynamic Updates
Operationalize market-responsive pricing: link cost indices (copper, steel, magnets, freight, energy), FX, competitor benchmarks, and elasticity tests to automated price updates by family/SKU/region. Maintain price waterfalls and monitor discount leakage. Build APIs/feeds to push new price lists into CPQ/e-commerce with approval workflows and audit trails. Business Cases & ROI Reporting
Lead investment cases for new SKUs, capacity, tooling, channels, and digital projects; deliver ROI/NPV/IRR with sensitivity scenarios and stage-gate KPIs. Create post-investment tracking with clear "benefits realization" scorecards tied to P&L (revenue, GM, SG&A impact) and cash (payback). Predictive Market Analysis & Segmentation
Size and forecast end-markets (e.g., HVAC, water/wastewater, material handling, F&B, mining/O&G, automotive) and roll up to total addressable/served/obtainable markets. Quantify share, growth, and price/mix effects by geography, channel (OEM/Distribution/MRO), and product family; brief leadership monthly with risks & opportunities. Cost & Burden Analysis for Volume Deals
Model overhead/burden absorption and learning effects to quantify price floors for volume orders. Provide "should-cost" BOM roll-ups, capacity utilization impacts, and breakeven curves; recommend tiered volume pricing that protects margin while filling capacity. Example levers you'll quantify: lot sizes & setup times, and freight consolidation. Required Qualifications
58+ years in analytics, pricing, or commercial operations within industrial/manufacturing; motors, drives, power transmission, or adjacent electro-mechanical categories strongly preferred. Demonstrated delivery of SKU-level forecasts and pricing programs used by Sales/Operations at scale. Financial modeling skills (ROI, NPV/IRR, sensitivity) and comfort presenting to executives. Excellent requirements gathering, documentation, and stakeholder communication. Preferred Qualifications
Domain knowledge: Industrial Distribution and OEM business models. Expert level with Excel platform. Working Style
Builder mindset, comfortable with imperfect data; proactive with Sales, Product Management, Supply Chain, Finance, and IT. Clear, concise storytelling with executives; rigorous documentation and change control. Education
B.S./M.S. in Engineering, Statistics, Data Science, Economics, Finance, or equivalent experience.