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Business Analyst II - Stock

Business Analyst II - Stock

TECO WestinghouseRound Rock, TX, US
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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 :

  • 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.
  • Education B.S. / M.S. in Engineering, Statistics, Data Science, Economics, Finance, or equivalent experience.   Powered by JazzHR
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