Data Analyst - Supply Chain

TL;DR

Data Analyst - Supply Chain (Supply Chain Market Intelligence): Building price benchmarking, lead time benchmarking, and price forecasting insights using proprietary data and primary research with an accent on large-scale dataset extraction, cleaning, and reproducible analysis. Focus on delivering actionable SaaS-platform insights and clear customer commentary while collaborating in an Agile Scrum environment.

Location: Mexico City, MX

Company

hirify.global provides analytics, insights, and proprietary data across the energy and natural resources value chain.

What you will do

• Develop goods and services price and lead time benchmarks and strategy recommendations using proprietary data and primary research.
• Manage multiple client accounts and act as an expert on selected supply chain products.
• Support sales with market-insight-driven marketing collateral, go-to-market inputs, proposals, and product demonstrations.
• Extract, manipulate, clean, analyze, and audit large datasets with well-structured procedures to ensure reproducibility.
• Combine and enrich data to create new analysis and visualization approaches for actionable client insights.
• Contribute in an Agile Scrum team and communicate clear written and verbal market context to customers.

Requirements

• Strong analytical, problem-solving, and time-management skills with attention to detail.
• Experience organizing large datasets, identifying discrepancies, and making appropriate adjustments.
• Ability to work with quantitative/statistical concepts; Bachelor’s degree with a quantitative, statistical, energy and/or economics focus.
• Excellent verbal and written communication skills, including client-facing commentary.
• Strong interpersonal skills and ability to collaborate effectively in a team environment.
• Proficiency in Python and/or R is expected (coding/data science skills are a plus).

Culture & Benefits

• Hybrid group role collaborating closely with product development, data science, research, consulting, sales & marketing, and customer success.
• Agile Scrum working style in a fast-paced environment with high visibility across the company.
• Values-driven culture: inclusive, trusting, customer committed, future focused, and curious.