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As a Data Analyst, you are passionate about experience innovation and eager to push the boundaries of what’s possible. You bring 3+ YEARS of experience, a growth mindset and a drive to make a lasting impact.
Job Responsibility:
Analyze large and complex raw datasets to generate meaningful insights for large enterprise clients, ensuring scientific rigor, reproducibility, and trusted analytical outputs
Interface with ETL workflows data pipelines, and analytical data products to develop reports that empower stakeholders to make effective data-driven decisions
Communicate analytical findings clearly and visually, translating technical results into intuitive insights for business and audit-focused stakeholders
Build compelling and highly interactive dashboards and visualizations using Tableau, Power BI, or custom web applications
Structure traceable reporting and audit artifacts and chains of evidence in a highly organized manner
Conduct deep-dive analytical investigations and develop KPIs to support strategic decisions and measure business impact
Translate processes into data flows and diagrams. Exhibit system-level thinking and cross modality interactions—supporting both BI and machine learning data pipelines
Full competence in the suit of Azure reporting and analytics services (e.g., Data Factory, Synapse, Power BI) plus Tableau, Looker, etc
Manage project timelines, dependencies, deliverables, and risks to ensure successful execution of analytics and data engineering initiatives
Gather stakeholder requirements—especially from banking, credit bureau, or financial audit environments—and conduct technical due diligence to design pragmatic data-driven business solutions
Requirements:
3+ Years of proven industry experience executing data engineering, analytics, or data science projects
Bachelor’s/Master’s degree in Engineering, Mathematics, Statistics, Computer Science, analytics, Informatics, Business Administration or other computation-intensive disciplines
Proficiency in SQL, Python, capable of identifying gaps and troubleshooting 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 communication skills
Advanced Portuguese communication skills
Nice to have:
Proficiency with BI visualization tools such as Tableau and Power BI, or visualization libraries like ggplot2, matplotlib, seaborn, Bokeh, or D3.js
Familiarity with cloud architecture components across Azure (preferred), AWS, or Google Cloud
Data Storytelling and visualization, interactive and exploratory analysis project experience or interface design role in prior projects
Ability to translate ambiguous business questions into clear technical approaches, distilled insights, and actionable recommendations
Experience utilizing statistical or machine learning libraries to solve business problems
Background in executing or contributing to technical data, analytics, or machine learning projects
Experience working with clients or stakeholders in the Banking industry, Credit Bureaus, or financial audit environments
What we offer:
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