Intermediate Data Analyst

What you'll do

• Partner with stakeholders to answer business questions through data analysis, providing actionable insights that support operational and strategic decisions.
• Build and maintain Power BI dashboards, semantic models, and reports that enable self-service analytics and business visibility.
• Use SQL to query, clean, validate, and analyze large datasets while ensuring data accuracy and consistency.
• Perform exploratory analyses, identify trends, investigate business issues, and support root cause analysis for product and commercial initiatives.
• Contribute to the definition and maintenance of business KPIs and reporting standards.
• Apply data visualization best practices to create intuitive, impactful, and user-friendly dashboards.
• Leverage AI tools (such as LLMs and coding assistants) to improve productivity, accelerate analysis, automate repetitive tasks, and support documentation while validating analytical outputs.
• Translate analytical findings into clear narratives tailored to both technical and business audiences.
• Collaborate with international teams to deliver high-quality analytical solutions under tight timelines.

What you'll need

• Bachelor's degree in Engineering, Computer Science, Statistics, Mathematics, Economics, or another quantitative discipline.
• Strong SQL skills for querying and preparing analytical datasets.
• Strong Power BI knowledge, including DAX, data modeling, and dashboard development.
• Knowledge of statistics and analytical methodologies.
• Experience using Python for data analysis is a plus.
• Familiarity with AI-powered productivity tools and willingness to incorporate them into daily analytical work.
• Understanding of data visualization principles and storytelling techniques.
• Intermediate English communication skills.
• Strong attention to detail and commitment to analytical quality.

More about you

• You're curious and enjoy understanding how the business works.
• You like solving problems and investigating the "why" behind the numbers.
• You're proactive, collaborative, and comfortable working with cross-functional teams.
• You're eager to learn new technologies, including AI, and continuously improve your analytical toolkit.
• You communicate insights clearly and adapt your message to different audiences.
• You take ownership of your work and consistently deliver high-quality analyses.