Finance • Pricing Strategy • Profitability Analytics

Turning complex pricing data into profitable business decisions.

I’m Mehrad Madani, a Finance, Pricing & Profitability Analyst based in Montreal. I build practical models and dashboards that connect sales requests, ERP data, customer behavior, product performance, discounts, costs, and contribution margin into clearer pricing decisions.

About

Commercial finance with an analytical and technical edge.

My work sits at the intersection of finance, pricing strategy, profitability analytics, and business intelligence. I focus on how companies protect margins, evaluate customer value, respond to supplier cost changes, optimize discounts, and turn raw data into practical commercial decisions.

I am pursuing a Bachelor of Commerce in Finance at Concordia University’s John Molson School of Business and hold a Bachelor of Engineering in Mechanical Engineering. This combination gives me a finance mindset supported by structured technical problem-solving.

My professional work includes pricing strategy, contribution margin analysis, dynamic pricing models, BOM analysis, scenario modeling, competitive benchmarking, Power BI reporting, and Excel-based automation for sales and pricing decision support.

Selected Work

Projects & case studies

Confidential details are anonymized. These examples show the business problem, the model or analysis built, and the decision impact.

Pricing Operations

Sales Request Efficiency & Decision-Support Model

Problem: Pricing requests required data from Syspro, sales inputs, customer/product CM reports, KPI scorecards, discount history, contract history, and lowest past prices.

Action: Built an Excel model centralizing request intake and supporting short-term margin/elasticity analysis plus long-term TVM-style deal evaluation.

Impact: Improved speed, consistency, and governance of sales request evaluation while reducing manual data gathering.

Market Strategy

New Product Market Entry Pricing Model

Problem: A new internal product needed pricing that balanced internal profitability targets with external willingness-to-pay and market demand.

Action: Combined internal CM-based pricing, market-informed pricing, blended recommended pricing, demand capture, and discount sensitivity.

Impact: Supported launch pricing with both financial discipline and market realism.

Margin Protection

Supplier Cost Increase & Tariff Pass-Through Model

Problem: Supplier cost increases and tariff exposure created pressure on contribution margins across product families and regions.

Action: Built logic comparing CM% preservation, gross profit dollar preservation, standard increases, tariff floors, caps, origin rules, and SKU/customer conditions.

Impact: Created a controlled framework for deciding when to absorb, partially pass through, or fully pass through cost pressure.

Discount Strategy

Discount, Elasticity & Quote Conversion Analysis

Problem: The business needed to understand whether discounts improved conversion enough to justify margin loss.

Action: Analyzed discount bands, quote-to-sale conversion, sales/profit by discount level, and implied elasticity between discount tiers.

Impact: Helped move discount decisions from intuition toward evidence-based guidance.

Commercial Scoring

Customer, Product & Deal Scoring Framework

Problem: Pricing decisions needed a consistent way to judge customer value, product value, and deal attractiveness.

Action: Developed scoring logic using annual usage value, product CM, current deal value, annual customer revenue, growth trend, CM trend, and years active.

Impact: Reduced subjectivity and supported clearer approval, review, or rejection recommendations.

Business Intelligence

Power BI Performance Dashboard & Executive Reporting

Problem: Management needed clearer views of sales, margin, product categories, customers, regional performance, and shipping-related costs.

Action: Built dashboard/reporting logic using business-question framing: what happened, why it matters, what action to take, and how to implement.

Impact: Turned raw data into management-ready insights connected to commercial action.

Skills

Tools and strengths

Finance & Pricing

Pricing strategy, contribution margin analysis, profitability analysis, cost increase modeling, tariff pass-through, discount strategy, market-based pricing, BOM analysis, and customer/product profitability.

Analytics & Modeling

Advanced Excel, Power BI, Syspro, scenario modeling, forecasting, quote/deal analysis, price elasticity, ROI/NPV logic, weighted scoring models, and variance analysis.

Business & Communication

Cross-functional collaboration with finance, sales, procurement, and product teams; executive-ready summaries; data storytelling; and commercial decision support.

Languages

English fluent, Persian fluent, French beginner and in progress through Francisation Québec.

Resume Snapshot

Experience, education, and direction

Experience

Pricing and Profitability Analyst and Coordinator at Medisca, focused on pricing strategy, CM analysis, dynamic pricing, BOM analysis, competitive benchmarking, scenario modeling, dashboards, and sales/pricing decision support.

Education

Bachelor of Commerce, Finance, Concordia University. Bachelor of Engineering, Mechanical Engineering, Amir-Kabir University.

Training

CFI Financial Modeling & Valuation Analyst, Business Intelligence & Data Analyst, AI Financial Analysis and Advanced Excel Fundamentals, and McGill Project Management certificate training.

Contact

Let’s connect.

I’m open to connecting with professionals in finance, pricing, analytics, corporate strategy, FP&A, business intelligence, and revenue operations.

mehradmadani.com