Business Analyst II - Stock
TECO WestinghouseRound Rock, TX, US11 days ago
Job type
- Full-time
- Quick Apply
Job descriptionbookings / 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. 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. 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. 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. Powered by JazzHR
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.
- What you’ll do 1) 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 :
Reduce quote cycle time with templates, guided selling, and rules for standard vs. modified order 4) Pricing intelligence & dynamic updates Operationalize market‑responsive pricing :
Example levers you’ll quantify :
Preferred qualifications Domain knowledge :
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Analyst Ii • Round Rock, TX, US
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