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Data Analyst, Risk and Operational Performance at Jobgether – Brazil, Indiana

Jobgether
Brazil, Indiana, 47834, United States
Posted on
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About This Position

Data Analyst, Risk and Operational Performance

This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Data Analyst, Risk and Operational Performance in Brazil.

We are seeking a Data Analyst to drive insights and improve operational performance across business-critical functions. In this role, you will analyze complex datasets, design dashboards, and provide actionable recommendations to enhance efficiency and reduce risk. You will collaborate with cross-functional teams to support data-driven decision-making, identify emerging trends, and optimize operational processes. The role offers the opportunity to work in a fast-paced, high-growth environment with exposure to innovative analytics tools and machine learning initiatives. Your contributions will directly influence the operational performance of finance, fraud, and customer support teams, enabling measurable business impact.

Accountabilities:
  • Act as a trusted advisor to Core Services and other operational teams, identifying trends and areas for improvement.
  • Design and maintain dashboards, metrics, and reports to provide actionable insights for risk, fraud, funding, and support operations.
  • Analyze large, complex datasets and develop scalable models to support reporting, analytics, and ML initiatives.
  • Lead cross-functional projects involving analysts, engineers, and product teams to build data pipelines and automate workflows.
  • Develop and automate reporting of key performance indicators across core services.
  • Translate insights from experimentation and hypothesis testing into actionable business decisions.
  • Write high-quality code for data pipelines and dashboards, following best practices in software engineering.

Requirements:

  • 5+ years of experience in data analysis, preferably in Fintech or fast-paced operational environments.
  • Strong expertise in SQL and hands-on experience in Python for data manipulation and analysis.
  • Experience building and managing data pipelines, including workflow orchestration tools.
  • Hands-on experience with dbt (data build tool) to structure and model datasets for reporting.
  • Ability to create intuitive dashboards and visualizations to clearly communicate complex insights.
  • Experience collaborating with teams across fraud, funding, finance, and customer support operations.
  • Strong communication skills to present data insights to both technical and non-technical stakeholders.
  • Degree in Analytics, Software Engineering, Economics, or a related field.
  • Fluent in English and based in Brazil, Canada, or the US.

Benefits:

  • Competitive full-time compensation package.
  • Remote work flexibility.
  • Opportunity to collaborate with cross-functional teams across the organization.
  • Exposure to innovative analytics tools and machine learning initiatives.
  • Professional development opportunities through ongoing projects and skill-building.
  • Inclusive and diverse work environment that values merit and contribution.
How Jobgether works:
We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.
We appreciate your interest and wish you the best!
Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.
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Job Location

Brazil, Indiana, 47834, United States

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