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Last Brand, Inc. d/b/a Quince

Senior Data Analyst - Performance Marketing

RemoteUnited States only
Published
Role
Data Science
Experience
Senior
$168.9k–$177k/yr
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Open to US only. Set where you work from to check your eligibility.

No BS summary

Senior data analyst for performance marketing with a Master’s degree and 2 years of analytics experience. Must know Python, SQL, advanced Excel, BI tools like Looker, scalable marketing data pipelines/dashboards, and A/B testing. Telecommuting allowed only within the U.S.

Core skills

PythonSQLA/B testing

Required skills

Advanced ExcelBI toolsLooker

What you'll do

  • Analyze large-scale marketing datasets from multiple channels (e.g., paid search, social, display, 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 visualization, reports, and presentations to both technical and non-technical audiences.
  • Continuously evaluate and refine analytical methodologies to improve modeling accuracy, scalability, and business impact.

What they require

  • Master’s degree in Statistics, Analytics, Economics, Marketing Science, Data Science, or a related field and two years of experience in the job offered, or in a data analytics-related occupation.
  • 2 years of experience building and analyzing scalable analytics solutions, including the automation of marketing data pipelines and dashboards using Python, SQL, advanced Excel formulas, and BI tools (e.g. Looker).
  • 2 years of experience owning the end-to-end analytical process, including analysis design, data extraction and analysis, modeling, visualization, and insight presentation.
  • 2 years of experience with A/B testing.

Benefits

  • Bonus and equity may also be provided for eligible roles.
  • Telecommuting permissible from any location within the U.S.
E Commerce

Details

Apply routeGreenhouse
$168.9k–$177k/yr