Global Economist: Commercial Optimization & Data

Avolta; Madrid; On-site; EUR 90,000 - 130,000; Full time

Job summary

Avolta is seeking a Global Economist, Commercial Optimization & Data, to build and refine the economic foundations of our pricing, availability, and promotion decisions. You will work with data scientists, BI engineers and product teams to translate complex questions into rigorous models and measurable impact.

Ideal candidates bring a PhD in Economics and 6–8+ years applying econometrics to business problems, with strong track records in pricing, demand modeling and experimentation.

Qualifications

• Advanced degree in Economics or quantitative field with econometric focus.
• 6–8+ years applying economics to real business problems.
• Proven ability to translate analysis into decisions with measurable impact.
• Experience with causal inference methods and experimentation.
• Proficient in SQL, R, Python or Stata.
• Excellent communication with senior leaders.

Responsibilities

• Design economic frameworks for pricing, availability, selection, and promotions.
• Frame commercial questions as testable hypotheses with models and metrics.
• Innovate causal methods to quantify the impact of decisions.
• Collaborate with data scientists and engineers to productionize models.
• Communicate insights clearly to directors and executives.

Skills

Econometrics

Causal inference

Experimentation

SQL

Python

R

Stata

Demand modeling

Elasticity estimation

Pricing strategy

Cross-functional collaboration

Communication to leadership

Education

PhD in Economics

Tools

SQL

R

Python

Stata

Job description

Avolta is seeking a Global Economist, Commercial Optimization & Data, to build and refine the economic foundations of our pricing, availability, and promotion decisions. You will work with data scientists, BI engineers and product teams to translate complex questions into rigorous models and measurable impact.

Ideal candidates bring a PhD in Economics and 6–8+ years applying econometrics to business problems, with strong track records in pricing, demand modeling and experimentation.