Senior Product Marketing Analyst

Remitly•Seattle, WA

1d•Remote

About The Position

Under the supervision of the Director, Business Management, the Senior Product Marketing Analyst will develop and execute advanced marketing analytics strategies to measure performance, optimize campaigns, and support data-driven decision-making across the company’s marketing initiatives. Telecommuting is available from anywhere in the U.S. based on manager approval.

Requirements

Master’s degree in Marketing, Business Analytics, Statistics, or a related quantitative field.
2 years of experience with applying predictive analytics and modeling techniques in the financial services industry to optimize marketing performance and enhance customer experience.
1 year of experience with analyzing product and marketing performance to generate actionable insights, improve efficiencies, and guide strategic business decisions.
1 year of experience with building and maintaining automated dashboards and analytical tools that support real-time monitoring and cross-functional decision making.
1 year of experience collaborating with marketing, product, and engineering teams on product design, sizing, and prioritization to optimize resource allocation and decision making.
1 year of experience with conducting A/B and multivariate experiments to evaluate product and marketing effectiveness and inform strategy.
1 year of experience with conducting customer experience analysis to improve acquisition, engagement, and retention.
1 year of experience with developing forecasting models to guide budget planning and financial outlook.
1 year of experience with leveraging methodologies and analytical techniques including cohort analysis, data visualization, funnel analysis, market research, product KPI development, risk mitigation, segmentation, and user behavior analysis.
1 year of experience working with Databricks, Excel, Power BI, Python, R, Snowflake, SQL, and Tableau.

Responsibilities

Build and maintain automated dashboards and analytical tools that enable real-time monitoring of multi-channel marketing performance, including paid media, organic, email, and in-app campaigns.
Support cross-functional teams by developing tools that facilitate self-service access to marketing performance insights.
Develop and refine marketing attribution models using probabilistic and algorithmic approaches to estimate channel-level return on investment (ROI) and inform budget allocation strategies.
Perform advanced customer segmentation and lifecycle modeling to guide personalized targeting strategies aimed at increasing customer engagement, conversion, and retention.
Design and analyze A/B and multivariate experiments, applying causal inference techniques to evaluate impact and optimize decision-making.
Leverage predictive analytics and advanced modeling techniques, such as clustering, time-series forecasting, and propensity scoring, to support continuous optimization of campaign performance.
Develop statistical and machine learning models to uncover actionable insights from marketing data and inform strategic planning.