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Órigo Energia

Senior Data and Revenue Intelligence Analyst

Órigo Energia

. Join the Revenue Assurance team.

Posted 10/8/2026full-timeSão Paulo • BrazilSeniorWebsite

Core Competencies

Role fit
Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in Data Analytics and Revenue Assurance, with strong capabilities in SQL, Power BI, and advanced Excel for analyzing large datasets and developing actionable insights. Proficient in forecasting, variance analysis, and applying statistical reasoning to drive process improvements and financial value generation.

Highest-signal resume keywords
Advanced SQL SkillsPower BI ProficiencyData Analysis ExperienceForecasting and Variance AnalysisRevenue Analytics Knowledge

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills
Data AnalyticsBusiness AnalyticsRevenue AnalyticsForecastingVariance AnalysisStatistical AnalysisAnomaly DetectionPredictive ModelingAutomation of AnalysesKPI Development
Soft Skills
Analytical MindsetInvestigative SkillsStrong Communication SkillsCuriosity About New TechnologiesAbility to Translate Data into Insights
Tools & Technologies
Power BIExcelBig Data ToolsCloud PlatformsData Platforms
Industry Keywords
Revenue AssuranceRevenue ManagementBillingPricingBusiness Intelligence

Tech Stack

Tools & technologies
CloudPythonSQL

About the role

Key responsibilities & impact
  • Join the Revenue Assurance team.
  • Transform data into insights, forecasts, and improvement opportunities.
  • Analyze revenue performance, identifying variances, trends, anomalies, and opportunities throughout the revenue cycle.
  • Conduct Actuals vs. Budget vs. Forecast analyses, identifying the key drivers behind variances.
  • Build and monitor revenue projections, scenarios, and assumptions.
  • Investigate the root causes of revenue deviations and leakage, transforming data into improvement recommendations.
  • Develop analyses to identify anomalies, inconsistencies, revenue leakage, and recovery opportunities.
  • Work with large volumes of data, performing data joins and exploratory analyses.
  • Develop KPIs, dashboards, and executive analyses to monitor revenue performance.
  • Automate recurring analyses and processes.
  • Support the identification, measurement, and prioritization of process improvement and financial value-generation opportunities.
  • Partner with Technology, Finance, Sales, Operations, Billing, and Customer Service teams.
  • Explore applications of Artificial Intelligence, automation, and predictive models.
  • Translate complex analyses into clear, actionable recommendations for stakeholders at different levels of the organization.

Requirements

What you’ll need
  • Bachelor’s degree in Statistics, Data Science, Engineering, Mathematics, Economics, Computer Science, Information Systems, or a related field.
  • Relevant professional experience in Data Analytics, Business Analytics, Revenue Analytics, Business Intelligence, Planning, or other analytical functions.
  • Advanced SQL skills.
  • Proficiency in Power BI, including KPI, dashboard, and analytical development.
  • Advanced Excel skills.
  • Experience analyzing large datasets.
  • Experience with projections, forecasting, trend analysis, and variance analysis.
  • Knowledge of statistics applied to data analysis.
  • Preferred: Python knowledge, especially for data analysis and data preparation.
  • Preferred: Experience with statistical or predictive models.
  • Preferred: Knowledge of Machine Learning.
  • Preferred: Experience with anomaly detection or pattern identification.
  • Preferred: Experience automating analyses.
  • Preferred: Knowledge of Big Data tools, Cloud platforms, or data platforms.
  • Preferred: Previous experience in Revenue Analytics, Revenue Assurance, Billing, Pricing, or Revenue Management.
  • Preferred: Experience applying AI to analysis and decision-making.
  • Analytical, investigative, and inquisitive mindset.
  • Strong ability to interpret data and identify cause-and-effect relationships.
  • Ability to translate numbers into business insights.
  • Statistical reasoning and the ability to work with hypotheses.
  • Ability to work independently, structure problems, and propose solutions.
  • Strong communication skills for presenting analyses to technical and executive audiences.
  • Curiosity about new technologies, automation, and Artificial Intelligence applied to business.

Benefits

Comp & perks
  • Medical and dental insurance for employees and dependents, in accordance with the benefits policy.
  • Meal/Food Voucher
  • 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
  • Expense allowance
  • Commission plan in accordance with internal policy