Data Analyst

TL;DR

Data Analyst: Analyzing large datasets to generate insights for enterprise clients with an accent on scientific rigor, reproducibility, and trusted analytical outputs. Focus on building interactive dashboards and translating technical results into intuitive insights for stakeholders.

Location: Remote (Brazil)

Company

hirify.global is the experience innovation company and a trusted partner to the world’s most recognized brands.

What you will do

• Analyze large and complex raw datasets to generate meaningful insights for enterprise clients.
• Interface with ETL workflows and analytical data products to develop reports.
• Communicate analytical findings clearly and visually for business and audit-focused stakeholders.
• Build compelling and interactive dashboards and visualizations using Tableau, Power BI, or custom web applications.
• Conduct deep-dive analytical investigations and develop KPIs to support strategic decisions.
• Gather stakeholder requirements from banking, credit bureau, or financial audit environments to design data-driven business solutions.

Requirements

• 3+ years of experience in data engineering, analytics, or data science projects.
• Bachelor’s/Master’s degree in Engineering, Mathematics, Statistics, Computer Science, or related field.
• Proficiency in SQL and Python, with the ability to troubleshoot the full lifecycle from data ingestion through insight delivery.
• Strong experience with Azure Cloud services, cloud architecture principles, and ETL/ELT processes.
• Direct experience working with stakeholders in the Banking industry, Credit Bureaus, or financial audit organizations.
• Upper-intermediate English and advanced Portuguese communication skills.

Nice to have

• Proficiency with BI visualization tools such as Tableau and Power BI.
• Familiarity with cloud architecture components across Azure, AWS, or Google Cloud.
• Experience in data storytelling and visualization, interactive and exploratory analysis project experience.
• Ability to translate ambiguous business questions into clear technical approaches.
• Experience utilizing statistical or machine learning libraries to solve business problems.

Culture & Benefits

• Flexibility with remote and hybrid work options (country-dependent).
• Career advancement with international mobility and professional development programs.
• Learning and development with access to cutting-edge tools, training, and industry experts.

Hiring process

• The Talent Acquisition team will review your application.
• If your skills and experience align with the role, they’ll reach out for next steps.
• Your CV should cover key information on relevant experiences and expertise.