Lead Analyst, Customer Analytics

What you'll do

• Evaluate marketing campaign performance and track key KPIs like incremental lift and cost per product to determine ROI
• Discover hidden insights or complex patterns through advanced multivariate data mining
• Translate analysis insights into actionable recommendations and strategies for clients
• Build XGBoost or Machine Learning models to segment customer populations
• Explain advanced analytical methodology and present results to non-technical audiences
• Execute advanced analytic tasks including modeling, segmentation, DOE, forecasting
• Identify areas for statistical innovation or process improvement and develop innovative approaches
• Determine quantitative methods for solving client issues
• Formulate analytical problems, QC data and results, summarize key findings, tell effective data stories, and make actionable recommendations
• Gather specifications, develop analytical roadmap, manage expectations, coordinate delivery with internal teams
• Develop project plans, manage day-to-day tasks, and meet project deadlines
• Work effectively across teams to ensure client satisfaction
• Contribute to innovation, process improvement, and standardization
• Deliver high quality analytical solutions on time

Requirements

• Very strong Excel skills (VBA not necessary)
• 1-2 years of experience with Snowflake SQL, Python, Pyspark
• Strong presentation skills (PowerPoint)
• Excellent written and oral communication skills
• Proficiency in SQL, Advanced Excel, multivariate statistics, logistic regression, multiple regression
• 1-2 years of experience with Data Visualization Tools like Tableau or Power BI
• Familiarity with Databricks
• Experience in Marketing Analytics with 1-2 years in marketing campaign performance evaluation
• Ability to discover hidden insights through advanced multivariate data mining techniques
• Ability to translate analysis insights into actionable recommendations
• Ability to build XGBoost or Machine Learning models for customer segmentation
• Ability to explain advanced analytical methodology to non-technical audiences
• Ability to execute advanced analytic tasks including modeling, segmentation, DOE, forecasting
• Ability to identify areas for statistical innovation or process improvement
• Ability to determine quantitative methods for solving client issues
• 1-2 years experience in quantitative marketing, marketing campaign measurement/evaluation
• Core analytical competencies: formulate analytical problems, QC data and results, summarize findings, storytelling with data, actionable recommendations
• Client/team engagement competencies: gather specifications, develop analytical roadmap, manage expectations, coordinate delivery
• Project management skills: develop project plan, manage day-to-day tasks, meet deadlines
• Ability to work effectively across teams
• Contribute to innovation, process improvement, standardization
• Bachelor's Degree or Master’s Degree in statistics, math, economics or related quantitative field; advanced degree preferred

Tech stack

Benefits