Digital Product Analyst

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November 20

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AmeriSave Mortgage Corporation

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Finance • Real Estate

AmeriSave Mortgage Corporation is a leading online mortgage lender offering a variety of home financing solutions, including first and second mortgages, home equity loans, and refinancing options. With 20 years of mortgage experience, AmeriSave has served over 733,603 borrowers across 49 states in the U. S. The company prides itself on providing easy and fast mortgage processes with access to quick quotes and approvals, low rates, and secure rate locks. AmeriSave is committed to helping its clients achieve financial freedom and better financial positions through responsible home equity usage and effective mortgage solutions. The company is well-regarded for its excellent customer service and accessibility, offering support in multiple languages and emphasizing easy online interactions for customer convenience.

5001 - 10000 employees

Founded 2002

💸 Finance

🏠 Real Estate

📋 Description

• Analyze user behavior and product performance across digital channels • Build dashboards and reports to monitor KPIs and product health • Perform deep-dive analyses to identify trends and optimization opportunities • Design, implement, QA, and interpret A/B tests and multivariate experiments • Develop repeatable and reusable Experimentation Analytics frameworks using tools such as SQL, R, Python, Google Sheets, and/or Excel • Partner with product managers to validate hypotheses and measure impact • Query and manipulate data using SQL across multiple sources • Ensure data integrity and accuracy across analytics platforms • Work closely with marketing, product, and engineering teams to translate insights into strategic actions

🎯 Requirements

• Bachelor’s or Master’s in Statistics, Data Science, Mathematics, Economics, or related field • 2–3 years of experience in product analytics or digital analytics roles • Strong proficiency in SQL and statistical analysis (hypothesis testing, regression) • Experience with digital analytics tools such as GA4, Heap, Amplitude, Adobe Analytics • Familiarity with experimentation platforms (Optimizely, LaunchDarkly, Google Optimize, Adobe Target) • Proficiency in Google Sheets and Microsoft Excel for data manipulation and reporting

🏖️ Benefits

• Medical • Dental • Vision • 401(k) • Generous PTO • Paid training • Referral program • Life insurance • Disability insurance • Employee discounts • Vision insurance • 12 paid holidays per year