A/B Testing, Advertising Creative, Algorithms, Analysis Skills, Bidding, Channel Marketing, Communication Skills, Cross-Functional, Customer Acquisition, Customer/Consumer Behavior, Data Analysis, Data Management, Data Quality, Data Science, Data Sets, Data Visualization, Data Visualization Tools, Econometric Modeling, Economics, Finance, Forecasting, LifeTime Value (LTV), Machine Learning, Marketing, Mathematics, Online Marketing, Performance Analysis, Predictive Modeling, Reporting Dashboards, Return on Investment (ROI), SQL (Structured Query Language), Search Engine Marketing (SEM), Statistics, Technical Presentation, Trend Analysis
Employer: Last Brand, Inc. [DBA: Quince]
Location: 10631 8th Ave NE Apt. 357, Seattle,WA 98125 (remote).
Job Title: Senior Data Analyst - Performance Marketing.
Job Duties:
- Analyze large-scale marketing datasets from multiple channels (e.g., paid search, social, display, email, affiliate) using statistical and computational techniques to evaluate performance, identify key trends, and optimize return on investment (ROI).
- Develop and maintain predictive and econometric models, including marketing mix models and attribution frameworks, to quantify the incremental impact of each marketing channel on conversions, revenue, and customer acquisition.
- Design and execute controlled experiments (A/B and multivariate tests) to assess the effectiveness of ad creatives, audience targeting, and bidding strategies, applying rigorous statistical validation methods.
- Create and automate data pipelines and dashboards to provide real-time insights into marketing performance and customer behavior for cross-functional stakeholders.
- Apply machine learning algorithms and forecasting techniques to predict customer lifetime value (LTV), conversion probability, and channel performance trends.
- Collaborate with cross-functional teams (marketing, data engineering, finance, and product) to integrate data sources, ensure data quality, and align analytical insights with business objectives.
- Communicate findings and recommendations through clear data visualizations, reports, and presentations to both technical and non-technical audiences.
- Continuously evaluate and refine analytical methodologies to improve modeling accuracy, scalability, and business impact.
Job Requirement: Master's degree in a quantitative field (e.g. Statistics, Analytics, Mathematics, Economics, Data Science, or similar). At least 2 years in a data analytics role, with a focus on performance or digital marketing. proficiency in SQL and data visualization tools, and knowledge of statistical analysis and A/B testing.
RATE OF PAY: $86,674-$175,000/year
Apply: To apply please visit https://job-boards.greenhouse.io/quince-careers/jobs/5172390008 and reference job title.