Senior Product Marketing Analyst

TL;DR

Senior Product Marketing Analyst (Marketing Analytics): Develop and execute advanced marketing analytics strategies to measure performance, optimize campaigns, and support data-driven decisions with an accent on attribution modeling, customer segmentation, and predictive analytics. Focus on designing A/B experiments, building automated dashboards, and applying machine learning models to uncover actionable insights.

Location: Telecommuting available from anywhere in the U.S. based on manager approval. Seattle, WA headquarters.

Salary: $132,000 – $165,000 per year

Company

Fintech providing secure global money transfer services since 2011, serving customers worldwide with over 2,800 employees.

What you will do

• Build and maintain automated dashboards for real-time monitoring of multi-channel marketing performance including paid media, organic, email, and in-app campaigns.
• Develop marketing attribution models using probabilistic approaches to estimate ROI and inform budget allocation.
• Perform customer segmentation and lifecycle modeling for personalized targeting to boost engagement, conversion, and retention.
• Design and analyze A/B and multivariate experiments with causal inference to optimize decision-making.
• Leverage predictive analytics, clustering, time-series forecasting, and propensity scoring for campaign optimization.
• Develop statistical and machine learning models to generate insights from marketing data for strategic planning.

Requirements

• Master’s degree in Marketing, Business Analytics, Statistics, or related quantitative field.
• 2+ years applying predictive analytics and modeling in financial services to optimize marketing and customer experience.
• 1+ year experience with product/marketing performance analysis, automated dashboards, A/B experiments, customer experience analysis, forecasting models, and methodologies like cohort analysis, segmentation, funnel analysis.
• 1+ year collaborating with marketing, product, and engineering teams on design, sizing, and prioritization.
• Experience with Databricks, Excel, Power BI, Python, R, Snowflake, SQL, Tableau.

Culture & Benefits

• Flexible paid time off, paid parental, medical, military, and family care leave.
• Health, dental, vision insurance + 401k with company matching, Employee Stock Purchase Plan.
• Mental health and family forming benefits, continuing education, and travel benefits.
• Connected work culture emphasizing innovation, equal opportunities, and nondiscrimination.
• Equity as part of total compensation.