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Finance of America

Marketing Analyst

Finance of America, Conshohocken, Pennsylvania, United States

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Employer Industry: Financial Services

Why consider this job opportunity: - Salary up to $115,000 - Competitive benefits package including health, dental, and vision insurance, life insurance, and 401(k) with employer match - Opportunity for career advancement and growth within the organization - Flexible paid time-off benefits and flexible spending account - Supportive and collaborative work environment focused on customer success

What to Expect (Job Responsibilities): - Conduct in-depth analysis to uncover trends in funnel performance, lead quality, campaign outcomes, and customer behavior - Build, manage, and enhance Power BI dashboards and reporting tools for cross-functional stakeholders - Develop performance tracking frameworks across acquisition channels and lifecycle metrics including attribution, Customer Acquisition Cost (CAC), and Lifetime Value (LTV) - Collaborate with marketing, product, engineering, and finance teams to ensure data alignment and reliability - Support predictive modeling and scenario analysis to inform budget allocation and performance forecasting

What is Required (Qualifications): - Bachelor's Degree in Marketing, Business, or a related field - Minimum 4 years of experience in customer or marketing analytics, ideally in a performance-driven or customer-focused environment - Advanced SQL skills and ability to manage complex queries and data transformations - Strong experience using Power BI for building dashboards, creating calculated fields, and structuring data models - Experience interpreting funnel metrics, user segmentation, and campaign performance

How to Stand Out (Preferred Qualifications): - Experience working with APIs and cloud data warehouses to build automated reporting workflows - Working knowledge of Google Tag Manager (GTM), Google Analytics 4 (GA4), and Microsoft Excel for analytical modeling - Experience with media mix modeling (MMM), regression analysis, or other modeling techniques used to evaluate marketing performance - Understanding of incrementality, attribution, and causal inference frameworks - Proven ability to recommend, structure, and monitor tests across channels to improve performance

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