Mid Level Data Analyst

Accountabilities:

• • Partner with business stakeholders to answer strategic and operational questions through data analysis and deliver actionable insights.
  • Build, maintain, and improve Power BI dashboards, semantic models, and reports to increase business visibility and enable self-service analytics.
  • Use SQL to query, clean, validate, and analyze large datasets while maintaining high standards of data accuracy and consistency.
  • Conduct exploratory analyses to identify trends, investigate business issues, and support root cause analysis for product and commercial initiatives.
  • Define, monitor, and maintain business KPIs and reporting standards in collaboration with relevant stakeholders.
  • Apply data visualization and storytelling best practices to create intuitive, impactful, and user-friendly dashboards.
  • Leverage AI tools, including LLMs and coding assistants, to accelerate analysis, automate repetitive activities, improve documentation, and increase productivity while validating outputs.
  • Translate analytical findings into clear narratives and recommendations tailored to technical and non-technical audiences.
  • Collaborate with international and cross-functional teams to deliver reliable analytical solutions within tight timelines.
  • Take ownership of analytical projects and continuously improve processes, methodologies, and data-driven solutions.

  Requirements

  • Bachelor’s degree in Engineering, Computer Science, Statistics, Mathematics, Economics, or another quantitative discipline.
  • Strong SQL skills, including querying, transforming, validating, and preparing datasets for analysis.
  • Strong knowledge of Power BI, including DAX, data modeling, dashboard development, and reporting.
  • Solid understanding of statistics and analytical methodologies.
  • Experience with Python for data analysis is a plus.
  • Familiarity with AI-powered productivity tools and enthusiasm for incorporating AI into day-to-day analytical work.
  • Understanding of data visualization principles and data storytelling techniques.
  • Intermediate English communication skills.
  • Strong attention to detail and commitment to analytical accuracy and quality.
  • Curiosity and a genuine interest in understanding business processes and the drivers behind performance.
  • Strong problem-solving skills and an ability to investigate the underlying causes behind data trends.
  • Proactive, collaborative approach and comfort working with cross-functional and international teams.
  • Ability to communicate complex insights clearly and adapt communication to different audiences.
  • Ownership mindset, with a consistent focus on delivering high-quality analytical work.
  • Willingness to learn new technologies and continuously expand analytical capabilities.

  Benefits

  • Performance-based bonus, subject to applicable rules.
  • Attendance bonus, subject to applicable rules.
  • Private pension plan.
  • Meal allowance.
  • Health, dental, and life insurance.
  • Discounts on medicines.
  • WellHub partnership.
  • Childcare subsidies.
  • Transport allowance.
  • Days off and additional time-off benefits, subject to applicable rules.
  • Discounts on company products, subject to applicable rules.
  • Clube Ben partnership.
  • Scholarship opportunities, subject to applicable rules.
  • School materials assistance.
  • Access to language learning and professional training platforms.
  • Flexible remote work environment.