This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Billing Data Analyst based in Brazil.
This role offers the opportunity to transform complex billing and financial data into actionable insights that improve business performance.
You will analyze trends, assess risks, and support data-driven decisions across billing, support, finance, and product functions.
The position combines analytical expertise, statistical thinking, and cross-functional collaboration in a remote-first environment.
You will contribute to improving billing efficiency, reducing financial risks, and optimizing customer-related processes.
Working with modern data tools and large-scale datasets, you will help build reliable reporting and analytical frameworks.
This is an ideal opportunity for a detail-oriented analyst who enjoys solving problems and creating measurable business impact.
Accountabilities:
As a Billing Data Analyst, you will play a key role in analyzing financial performance, billing behaviors, and operational trends. You will use data to identify opportunities, reduce risks, and support strategic decisions across multiple teams.
- Monitor, analyze, and report on key billing, support, and operational performance indicators.
- Identify emerging trends and provide insights that improve billing processes and business outcomes.
- Build and maintain reliable data pipelines to ensure accurate and timely data availability.
- Apply statistical analysis, forecasting methods, and scenario modeling to evaluate potential business impacts.
- Design and analyze A/B tests and experiments to assess billing and customer support strategies.
- Collaborate with teams across billing, finance, support, product, and marketing to align initiatives with risk mitigation goals.
- Evaluate the impact of product and marketing changes on billing performance, customer behavior, and operational metrics.
- Provide actionable recommendations to reduce disputes, churn, inefficiencies, and financial risks.
- Document analytical workflows, methodologies, and data logic to maintain consistency and transparency.
Requirements:
The ideal candidate has strong analytical skills, technical expertise, and experience working with financial, subscription, or customer-focused data. You should be comfortable transforming complex datasets into clear recommendations for both technical and non-technical stakeholders.
- Bachelor’s degree in Data Science, Statistics, Computer Science, Economics, or a related field.
- Previous experience as a Data Analyst, preferably within fintech, subscription businesses, billing, or customer support environments.
- Strong SQL skills and experience working with data analysis workflows.
- Experience using BI tools such as Tableau, Looker, or similar platforms.
- Knowledge of Python or R for data analysis and automation.
- Solid understanding of statistical analysis, forecasting, and scenario modeling.
- Experience designing, running, and interpreting A/B tests and experiments.
- Strong problem-solving abilities with excellent attention to detail.
- Ability to communicate analytical findings clearly to technical and business audiences.
- Curious, proactive mindset with strong ownership of data quality and analytical outcomes.
Nice to have:
- Experience working with BigQuery, ClickHouse, or cloud-based data warehouses.
- Basic Python knowledge for data cleaning and exploratory analysis.
- Experience with subscription products, payment systems, disputes, chargebacks, declines, or fraud-related data.
- Familiarity with DBT or data quality frameworks.
Benefits:
- Fully remote work environment with flexibility to work from anywhere.
- Unlimited paid time off to support work-life balance and personal wellbeing.
- Paid national holidays.
- Company-provided MacBook for employees who require one.
- Flexible independent contractor agreement offering autonomy and location flexibility.
- Opportunity to work with international teams on innovative consumer products.
- Fast-growing environment with opportunities for professional development and increased responsibility.
- Exposure to impactful data projects involving billing optimization, risk management, and business growth.
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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