TECO Westinghouse
Job Description
Job Description What this role requiresHands‑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.What you’ll do1) 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. 2) 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. 3) 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 4) 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. 5) 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). 6) 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. 7) 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
5–8+ 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. EducationB.S./M.S. in Engineering, Statistics, Data Science, Economics, Finance, or equivalent experience.
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Job Description What this role requiresHands‑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.What you’ll do1) 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. 2) 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. 3) 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 4) 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. 5) 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). 6) 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. 7) 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
5–8+ 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. EducationB.S./M.S. in Engineering, Statistics, Data Science, Economics, Finance, or equivalent experience.
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