Pricing Data Analyst (AI)

TL;DR

Pricing Data Analyst (AI): Strengthening the Pricing Excellence team by hands-on data preparation, reporting, and applying statistical methods for pricing insights. Focus on automation, continuous improvement initiatives, and bridging data engineering tasks with statistical analysis.

Location: Hybrid - Remote/Onsite in Mindelo, Porto, Portugal

Company

hirify.global is the largest pureplay adhesives company in the world, enhancing the quality, safety and performance of products people use every day.

What you will do

• Develop and maintain Power BI dashboards to deliver clear, actionable pricing insights.
• Build and optimize SQL queries and views for data extraction and transformation.
• Write Python scripts to automate repetitive tasks and enable deeper analytics.
• Prepare datasets for advanced analysis, including elasticity, forecasting, and trend models.
• Collaborate with the team on automation and continuous improvement initiatives.
• Act as a bridge between data engineering tasks and statistical analysis.

Requirements

• Master’s degree or advanced coursework in Data Science, Statistics, Applied Mathematics, Economics, Engineering, or Analytics.
• 4–5 years of experience in SQL, Power BI, and Python.
• Solid understanding of statistics and econometrics (e.g., regression analysis, elasticity, hypothesis testing).
• Ability to manipulate and analyze large datasets.
• Experience with data visualization and storytelling through dashboards.
• Good communication skills and team spirit to thrive in a small, high-impact team.

Nice to have

• Exposure to machine learning libraries (scikit-learn, statsmodels, TensorFlow, or similar).
• Experience working in pricing, finance, operations, or another data-driven business function.
• Experience with data visualization tools beyond Power BI (Tableau, Qlik, etc.).
• Experience with Python automation, scripting, or small-scale production deployments.
• Experience in multinational or multi-business-unit environments.

Culture & Benefits

• Collaborative culture where employees around the world are seen, heard, and respected.