This is a fully remote position, open to applicants in California, +3 more states.

• Perform comprehensive analyses to inform product strategies, pricing choices, and retention efforts.

• Examine customer behavior, product effectiveness, and market dynamics to uncover opportunities for growth and retention.

• Create pricing analyses, segmentation frameworks, and performance reports to enhance profitability and market competitiveness.

• Collaborate with marketing, product, finance, and leadership teams to assess offers, campaigns, and retention tactics.

• Develop and sustain dashboards, reports, and analytical models utilizing Python, SQL, and BI tools.

• Conduct in-depth analyses on churn, customer lifetime value, conversion rates, pricing elasticity, and campaign ROI.

• Design and evaluate tests for pricing adjustments, promotional initiatives, and retention programs.

• Distill complex data into straightforward business recommendations and presentations suitable for executives.

• Assist in forecasting, scenario modeling, and continual performance monitoring across essential products and customer segments.

• Ensure the integrity, consistency, and accuracy of data throughout analyses and reporting.

• Bachelor’s degree in Marketing, Economics, Finance, Statistics, Data Analytics, Business, or a related discipline.

• 3–5 years of experience in analytics, pricing, marketing strategy, revenue management, or a comparable position.

• Strong practical experience with Python and/or SQL for in-depth data analysis.

• Proficiency in analyzing large datasets and constructing models to inform business decisions.

• Solid understanding of pricing strategies, customer analytics, and retention metrics.

• Capability to clearly communicate insights to both technical and non-technical audiences.

• Advanced skills in Excel.

• Familiarity with BI and visualization tools such as Tableau, Power BI, or similar is preferred.

• Strong problem-solving abilities, attention to detail, and the capacity to manage multiple priorities.

• Experience in financial services, insurance, banking, lending, fintech, or other regulated industries is a plus.

• Knowledge of customer lifecycle analysis, churn modeling, A/B testing, and segmentation is beneficial.

• Experience in supporting product strategy or go-to-market decisions through quantitative analysis is advantageous.

• Basic understanding of statistical methods, forecasting, or predictive modeling is a plus.

• Medical insurance

• Dental insurance

• Vision insurance

• 401k

• PTO/paid sick leave

• Employee stock purchase plan

• Inclusive workplace culture

• Equal opportunity employment

Marketing Analyst

People also viewed