Marketing Analyst

Marketing Analyst

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.

What You'll Do:

• 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.

What You'll Bring:

• 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.

Nice to Have

• 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.

Pay Range: $73,900.00 - $98,500.00 AnnuallyThis 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.

First American will consider for employment all qualified applicants, including those with arrest or conviction records, in a manner consistent with the requirements of applicable state and local laws (e.g., the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act).

First American intends to conduct a review of an applicant's criminal history in connection with a conditional offer. First American reasonably believes that a criminal history may have a direct, adverse and negative relationship with the following material job duties for this position potentially resulting in the withdrawal of the conditional offer of employment: handling of confidential, proprietary or trade secret information belonging to First American or its customers, administrating or facilitating financial transactions, and the ability to meet customer-imposed criminal history requirements.