Senior Revenue Assurance Analyst

Órigo Energia

. Detect, quantify, and prevent revenue leakage across the full distributed generation (DG) cycle — generation, quota allocation, credits, billing, and collections — through data analysis, systematic reconciliations, and detection models.

Posted 9/24/2026full-timeSão Paulo • BrazilSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Expertise in data analysis and anomaly detection to identify and prevent revenue leakage in distributed generation cycles, utilizing advanced SQL, Python, and data visualization tools. Strong ability to translate complex findings into actionable insights for leadership, ensuring financial accuracy and operational efficiency.

Highest-signal resume keywords

Advanced SQLData AnalysisAnomaly DetectionPython (Pandas)Power BI

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data AnalysisAnomaly DetectionRevenue AssuranceFinancial QuantificationData ManipulationStatistical AnalysisRoot Cause AnalysisKPI MaintenanceAutomated ReconciliationsModeling and Visualization

Soft Skills

CommunicationProblem-SolvingAttention to DetailAnalytical Thinking

Tools & Technologies

Power BIExcelGoogle SheetsSQLPython

Industry Keywords

Revenue LeakageDistributed GenerationBillingUtilitiesEnergyTelecommunicationsFinancial Services

Tech Stack

Tools & technologies

PandasPythonSQL

About the role

Key responsibilities & impact

Detect, quantify, and prevent revenue leakage across the full distributed generation (DG) cycle — generation, quota allocation, credits, billing, and collections — through data analysis, systematic reconciliations, and detection models.
Build and execute automated reconciliations across generation, injection, quota allocation, issued invoices, utility data, and collections databases.
Develop anomaly-detection rules and queries for unissued invoices, incorrect credit compensation, tariff discrepancies, improper discounts, active customers without billing, and cycle disruptions.
Financially quantify each type of leakage, prioritize it based on materiality and recurrence, and support the case with quantitative evidence.
Trace issues back to their root cause and follow up on corrective actions until recurrence is eliminated.
Maintain leakage dashboards and KPIs, including historical series, realized recovery, and avoided losses.
Structure data and detection logic in a reproducible manner, transitioning one-off analyses to continuous monitoring.
Translate findings into concise reports for leadership, including impact in Brazilian reais (BRL) and recommended actions.

Requirements

What you’ll need

Bachelor’s degree in Engineering, Statistics, Data Science, Economics, Accounting, or a related field.
Experience in data analysis applied to revenue, billing, auditing, or revenue assurance, preferably in energy, utilities, telecommunications, or financial services.
Advanced SQL (required): large-volume data manipulation, complex joins, and window functions.
Advanced Excel/Google Sheets and Power BI (or equivalent) for modeling and visualization.
Python (pandas) for data processing, cross-referencing, and analytical workflow automation.

Benefits

Comp & perks

Health and dental insurance for employees and dependents, according to the benefits policy.
Meal/Food Allowance
Life Insurance
Wellhub
Birthday Day Off
Transportation Allowance, where applicable
Telemedicine
Financial Wellness Program
Discounts on undergraduate and/or graduate programs through partner institutions
Discounts on foreign-language courses through partner institutions
An inclusive, respectful, and welcoming environment
Support for continuous learning and professional development