Senior Analyst, Customer Analytics

What you'll do

• Contribute to validation activities including model design, execution, assessment, data review, and campaign/marketing performance evaluation
• Utilize statistical and digital analytics tools for data analysis
• Conduct time-series forecasting and manage timely delivery of marketing data/reporting and analytics insights
• Conduct quantitative marketing analyses and build XGBoost or machine learning models for customer segmentation
• Generate and manipulate digital data from media types including web, ad, email, and mobile
• Develop, write, and present strategic marketing analytics recommendations and projects such as customer profiling, lifecycle analysis, campaign test design, dashboard reporting, and customer segmentation
• Use data findings to tell a story with actionable recommendations
• Develop Tableau or Looker dashboards identifying key KPIs
• Develop simple PowerPoint presentations with key findings

Requirements

• Bachelor's or master's degree in Statistics, Math, Economics, or related quantitative field
• 1-2 years of experience as an analyst or senior analyst or related occupation
• 1-2 years experience with R, Python, Pyspark, SQL, Advanced Excel
• Experience with multivariate statistics, logistic regression, multiple regression
• Proficiency in Adobe Analytics, Google Analytics, and DMP insight tools
• Experience with regression, ANOVA, cluster analysis, factor analysis
• Experience in XGBoost modeling techniques and machine learning model building
• Proficiency in developing PowerPoint presentations to communicate data insights
• 1-2 years developing, testing, and evaluating marketing analytics tools
• 1-2 years developing reporting and dashboards for marketing performance evaluation
• At least 1 year experience with data visualization tools like Tableau, Looker Studio, Power BI
• 1-2 years experience using multivariate data mining techniques on unstructured business problems
• Marketing analytics experience preferred

Tech stack

Benefits