Hogan Marhoefer
Senior Business Analyst @Portland General Electric
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WORK HISTORY
Senior Business Analyst @Portland General Electric
Partner with cross-functional teams (IT, Data Engineering, Finance, Compliance) to elicit, document, and socialize business requirements for six OPUC-audited reports, delivering a zero-defect migration from Oracle ADW to Oracle Analytics Cloud.Map and document end-to-end data flows, identifying system gaps and implementing governance mechanisms to maintain integrity and audit-readiness.Architect and deploy an automated data pipeline that consolidates four manual workbooks into a single live system, saving 10+ analyst hours/week and enabling same-day insights for risk and portfolio managers.Design and pilot an arrears forecasting model using SQL and Python, identifying high-risk customers and reducing forecast variance by ~30%.Lead Agile rituals—daily stand-ups, sprint planning, backlog grooming, and retrospectives—ensuring task alignment, transparent communication, and responsive delivery.Apply formal Requirements-Lifecycle Management (RLM) to trace evolving scope, prevent drift, and maintain compliance with internal and external audit frameworks.Conduct root-cause analysis via SQL to reconcile data quality issues in settlement, risk, and cash-flow reporting.Deliver user training, documentation, and ongoing support to ensure adoption of new data governance and compliance protocols.
EDUCATION
Claremont McKenna College
Bachelor of Arts - BA
Portland State University
Master of Science - MS
Wharton Online
Business and Financial Modeling
Caltech
Data Science & Analytics Bootcamp
ABOUT HOGAN MARHOEFER
I’m a Senior Business Analyst at Portland General Electric (PGE), specializing in translating complex requirements into strategic data solutions that drive compliance, enhance operational efficiency, and optimize customer engagement. My expertise spans process automation, advanced analytics, data governance, and regulatory alignment, enabling stakeholders to make informed, data-driven decisions. I lead cross-functional teams, leveraging technologies such as Oracle SQL, Snowflake, Databricks, and Oracle Analytics Cloud (OAC) to deliver impactful solutions in arrears modeling, payment risk analytics, and customer journey optimization. Currently pursuing an MS in Applied Data Science, I’m dedicated to deepening my expertise in predictive analytics and machine learning to proactively address complex business challenges.
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