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Job Description:

This role ensures revenue integrity and support profit and loss analysis for bp’s natural gas and electricity retail energy business, by comparing forecasts to actual revenue, analyzing volumetric and financial variances, designing and implementing new controls and monitoring mechanisms, owning and remediating journal entry failures, and leading efforts to automate and improve revenue processes. This role leverages big data and advanced analytics to provide actionable insights.

• Compare forecasted revenue to actuals across services, contracts, market (ISO, utility, LDC), and customer segments.
• Investigate and explain revenue variances, including timing, pricing, and volume-related factors.
• Provide insights into how revenue performance affects profit margins and overall P&L.
  

• Analyze large datasets to detect usage anomalies in energy usage, meter data, and billing.
• Quantify the financial impact of volumetric variances on revenue and cost structures.
• Translate technical findings into business language for P&L reporting and executive presentations.
  

• Design and implement new automated controls to monitor billing accuracy and revenue streams.
• Develop exception reports and alerts for anomalies in billing, usage, and revenue recognition.
• Establish monitoring frameworks and dashboards to proactively detect revenue leakage.
• Maintain audit trails and documentation for all revenue assurance processes.
  

• Own the identification and resolution of journal entry failures related to energy revenue transactions.
  
• Collaborate with accounting and finance teams to ensure accurate and timely revenue postings.
• Investigate root causes of failed entries and implement corrective actions, documenting remediation steps for continuous improvement.
  

• Perform user acceptance testing (UAT) to validate revenue journal entries and reporting logic.
  
• Identify opportunities for process improvement to reduce manual intervention and exceptions, working closely with IT and business interested parties to define technical requirements for automation and system enhancements.
  

• Work with structured and unstructured data from various sources (e.g., ERP, billing system, CRM).
  
• Build scalable data pipelines and automated reporting tools and dashboards using SQL, Power BI, and cloud platforms.

• Bachelor’s degree in finance, Accounting, Data Science, or a related field.

• Mid-level years of experience in revenue assurance analytics, preferably in the energy sector.
• Proficiency in SQL, and data visualization tools (e.g., Power BI, Tableau).
• Experience with big data platforms (e.g., AWS, Azure).
• Solid understanding of revenue recognition principles, P&L structures, and financial controls.
• Experience with journal entry workflows and ERP systems (e.g., SAP, Oracle, NetSuite).
• Excellent attention to detail and collaborative problem-solving skills.
  

• Experience in industries with complex billing (e.g., preferably energy)
• Familiarity with revenue methodologies and audit frameworks.
• Ability to communicate technical findings in a clear, business-oriented manner.
• Knowledge of machine learning or statistical modeling for predictive revenue analysis (a plus).

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