Pricing Analyst - Remote, Argentina

1 month, 1 week ago
Mid Level
Data Science and Analytics
tires-easy.com

tires-easy.com

Tires-easy.com, operated by Delticom NA Inc., is a leading online retailer offering a vast selection of tires from over 100 brands at discounted prices. With a focus on fast shipping, easy returns, and a wide range of tire options including commercial ...

Automotive
11-50
Founded 2004

Description

  • Develop and execute pricing strategies across all sales channels to improve price positioning, revenue, margin, and competitiveness.
  • Design, implement, track, and analyze pricing experiments and tests, documenting learnings to support scalable pricing decisions.
  • Provide pricing recommendations, financial modeling, and clear presentations to company management and executive leadership.
  • Own key pricing performance metrics, including margin analysis, price realization, competitive positioning, and revenue impact.
  • Ensure pricing compliance across channels and work with teams to resolve pricing discrepancies.
  • Analyze large datasets on sales, costs, market pricing, customer segments, and price sensitivity to produce actionable insights and reports.
  • Coordinate regular competitive pricing audits and market analysis to identify pricing opportunities and gaps.
  • Monitor pricing performance and competitive dynamics in real time and recommend immediate adjustments when needed.

Requirements

  • Bachelor's degree in Economics, Finance, Statistics, Mathematics, or a related analytical field.
  • 2-4+ years of professional experience in pricing analysis, revenue management, financial analysis, or a related analytical role.
  • Strong analytical, quantitative, and data analysis skills.
  • Ability to work effectively during US business hours.
  • Access to high-speed home Wi‑Fi.
  • Ability to understand complex models and develop innovative pricing solutions within market constraints.
  • Highly self-directed, proactive, motivated, organized, and detail-oriented.
  • Familiarity with statistical analysis tools such as R or Python, or advanced Excel modeling.
  • Experience with business intelligence tools such as Tableau or Power BI.
  • Technical proficiency in Google Suite or Microsoft Office Suite and SQL or similar database query languages.
  • Understanding of pricing strategies in e-commerce or retail environments.
  • Experience with A/B testing and statistical significance in pricing experiments.
  • Basic knowledge of financial analysis.

Interested in this position?

Apply directly on the company website

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