Financial Analyst

We are unable to provide work visa sponsorship for this position; applicants must be authorized to work in the United States without sponsorship now or in the future.The Quantitative Analyst role focuses on applying analytical thinking to real business problems and developing, implementing and improving models that guide business decision making and operations.This position requires someone who is comfortable working through ambiguity, forming reasonable assumptions, and focusing on the key drivers of business outcomes. The role also involves communicating complex analytical concepts in a clear and practical way to non-technical stakeholders, including senior leadership.Candidates should have a strong foundation in mathematics, statistics, finance, or a related field, along with experience working with data using SQL. Exposure to forecasting or financial modeling is highly valuable. Experience with tools such as R or Python is beneficial, but the ability to think critically and understand model behavior is more important than any specific toolset.This is an opportunity to work directly with Business Intelligence leadership, develop advanced analytical skills, and take ownership of work that directly influences revenue and strategic decision-making. Our work supports financial protection for families, and the impact of this role extends beyond analysis into real business outcomes.What You’ll DoOwn and improve revenue forecasting models used in monthly business planningAnalyze sales performance and customer behavior to identify key drivers of revenueBuild and refine analytical models that support business decision-makingTranslate ambiguous business questions into structured analyses and clear recommendationsCommunicate insights and model logic to leadership in a clear, practical wayContinuously improve your work through iteration, testing, and learningWhat We’re Looking ForStrong analytical thinking and problem-solving abilityBackground in math, statistics, finance, or a related fieldExperience working with data using SQLComfort working with forecasting or financial modelsAbility to explain complex ideas clearly to non-technical audiencesCuriosity, ownership, and a desire to continuously improveEducationBachelor’s degree in Mathematics, Statistics, Finance, Economics, Data Science, or a related field preferredEquivalent analytical experience or demonstrated quantitative ability will also be consideredNice to HaveExperience with R or PythonExposure to forecasting or predictive modelingExperience working with revenue or financial dataWhy Join UsReal Impact: Your work directly influences revenue and business decisionsOwnership: You will own models and see them evolve over timeGrowth: Work closely with BI leadership and develop advanced analytical skillsLearning Environment: We invest in developing talent and promoting from withinPurpose-Driven Work: We help protect families and support financial security*Failure to pass an internet speed test will suspend the employment onboarding process, as all employees are required to have a secure and reliable internet connection*