Marketing Analyst

• Conduct detailed analyses to support product strategy, pricing decisions, and retention initiatives.
• Analyze customer behavior, product performance, and market trends to identify growth and retention opportunities.
• Develop pricing analyses, segmentation models, and performance reporting to improve profitability and competitiveness.
• Partner with marketing, product, finance, and leadership teams to evaluate offers, campaigns, and retention strategies.
• Build and maintain dashboards, reports, and analytical models using Python, SQL, and BI tools.
• Perform deep-dive analyses on churn, customer lifetime value, conversion, pricing elasticity, and campaign ROI.
• Design and measure tests to assess pricing changes, promotional strategies, and retention programs.
• Synthesize complex data into clear business recommendations and executive-ready presentations.
• Support forecasting, scenario modeling, and ongoing performance monitoring across key products and customer segments.
• Ensure data quality, consistency, and accuracy across analyses and reporting.

• Bachelor’s degree in Marketing, Economics, Finance, Statistics, Data Analytics, Business, or a related field.
• 3–5 years of experience in analytics, pricing, marketing strategy, revenue management, or a related role.
• Strong hands-on experience with Python and/or SQL for detailed data analysis.
• Experience analyzing large datasets and building models to support business decision-making.
• Strong understanding of pricing strategy, customer analytics, and retention metrics.
• Ability to communicate insights clearly to both technical and non-technical audiences.
• Advanced Excel skills; experience with BI and visualization tools such as Tableau, Power BI, or similar are preferred. (DAX, data modeling, report/dashboard development)
• Strong problem-solving skills, attention to detail, and ability to manage multiple priorities.

• Experience in financial services, insurance, banking, lending, fintech, or other regulated industries.
• Familiarity with customer lifecycle analysis, churn modeling, A/B testing, and segmentation.
• Experience supporting product strategy or go-to-market decisions through quantitative analysis.
• Working knowledge of statistical methods, forecasting, or predictive modeling.

Success in This Role

Success in this role means using data to influence smarter pricing, stronger product positioning, and improved customer retention. The right candidate will be equally comfortable diving into the details of a dataset and presenting strategic recommendations to business leaders.

** Note that the following statements only apply to candidates who will be working from an unincorporated area within Los Angeles County. **

Pay Range: $73,900.00 - $98,500.00 Annually

This hiring range is a reasonable estimate of the base pay range for this position at the time of posting. Pay is based on a number of factors which may include job-related knowledge, skills, experience, business requirements and geographic location.

Join a team that puts its People First! As a member of First American’s family of companies, First American Home Warranty offers a wide range of home warranty products and services to home sellers, buyers and agents. Since 1889, First American (NYSE: FAF) has held an unwavering belief in its people. They are passionate about what they do, and we are equally passionate about fostering an environment where all feel welcome, supported, and empowered to be innovative and reach their full potential. Our inclusive, people-first culture has earned our company numerous accolades, including being named to the Fortune 100 Best Companies to Work For® list for eleven consecutive years. We have also earned awards as a best place to work for women, diversity and LGBTQ+ employees, and have been included on more than 50 regional best places to work lists. First American will always strive to be a great place to work, for all. For more information, please visit www.careers.firstam.com.

We are seeking a data-driven Marketing Analyst with 3–5 years of experience to support product strategy and customer retention initiatives. This role will combine analytical rigor with business insight to evaluate pricing performance, customer behavior, campaign effectiveness, and product trends. The ideal candidate is comfortable working with large datasets, building actionable analyses in Python and/or SQL, and translating findings into clear recommendations for cross-functional stakeholders.