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Pricing Analyst

Remote / Online - Candidates ideally in
Ontario, San Bernardino County, California, 91764, USA
Listing for: Aplin
Full Time, Remote/Work from Home position
Listed on 2026-10-29
Job specializations:
  • Business
    Financial Analyst, Data Analyst, Business Intelligence
  • Finance & Banking
    Financial Analyst
Salary/Wage Range or Industry Benchmark: 64098 - 71220 USD Yearly USD 64098.00 71220.00 YEAR
Job Description & How to Apply Below

Location Ontario, Canada Sector Accountancy Salary 90,000.00 CAD to  CAD per annum

Join a top employer and advance your career. Aplin has partnered with a growing eCommerce organization to hire a Pricing Analyst
! This will be a permanent opportunity supporting a high-growth, revenue-driven analytics function where you’ll play a key role in shaping pricing strategy and driving profitability.

Benefits & Perks
  • Compensation: $90,000-$100,000base salary+ annual bonus
  • Please note, this role is fully remote (must be based in Alberta or Ontario) and operates on Central Time hours (8 AM – 5 PM CT)
  • Permanent, full-time position + Benefits
Responsibilities
  • Own pricing analysis across key performance metrics, including total billings, average order value, price per unit, margin, and contribution margin
  • Partner closely with the Product team to optimize margins through strategic pricing increases and decreases
  • Proactively identify pricing opportunities and risks by analyzing customer behavior, product performance, market dynamics, and competitive trends
  • Develop and maintain pricing models to evaluate pricing trends, elasticity, profitability, and margin impact
  • Develop hypotheses, conduct analysis, and independently bring forward actionable pricing recommendations
  • Analyze the effectiveness of promotions, pricing campaigns, discounting strategies, and bundling initiatives
  • Support the development, testing, and refinement of pricing strategies and business experiments
  • Use SQL to independently identify, extract, and analyze data from large, complex, and disparate datasets
  • Build and maintain pricing dashboards using Excel and BI tools such as Power BI or Tableau
  • Translate complex analytical findings into clear, actionable recommendations for business and senior stakeholders
  • Partner with Product, Sales, Marketing, and Finance to influence pricing decisions and align strategies with business objectives
  • Support pricing decisions for new product launches, including economic value estimation and pricing frameworks
  • Collaborate with Technology and Analytics teams to improve pricing data infrastructure, automation, and analytical processes
  • Ensure accuracy, integrity, and consistency across pricing data, models, dashboards, and reporting
  • Challenge existing assumptions and clearly communicate pricing trade-offs and recommendations
  • Proactively identify opportunities and solve ambiguous business problems without waiting for direction
Qualifications
  • Bachelor’s degree in Business, Finance, Economics, Statistics, Data Analytics, or a related field
  • 3+ years of experience in data analytics, business analytics, product analytics, revenue analytics, pricing analytics, or a related analytical role
  • Strong combination of pricing knowledge, business acumen, and technical data analytics skills
  • Strong SQL skills with the ability to independently find, extract, and analyze data from complex and disparate sources
  • Advanced Excel skills with experience building analytical models
  • Experience with Power BI, Tableau, or similar BI platforms
  • Understanding of pricing concepts such as price elasticity, contribution margin, discounting, bundling, and revenue optimization
  • Demonstrated ability to connect analytical findings to customer behavior, revenue, profitability, and business performance
  • Strong analytical reasoning and problem-solving skills, with the ability to develop hypotheses and determine the appropriate approach to unfamiliar problems
  • Comfortable working with messy or imperfect data and finding creative ways to extract meaningful insights
  • Highly proactive, curious, and self-directed, with a strong desire to investigate problems and identify opportunities independently
  • Strong communication and data storytelling skills, with the ability to translate complex…
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