Description

Drive marketing measurement and econometric modelling to provide actionable business insights.

Responsibilities

• Suggest marketing measurement solutions, including Media Mix Modelling and Multi-Touch Attribution, based on business requirements.
• Conduct panel data analysis using fixed effects, random effects, and mixed effects models.
• Execute and evaluate the full data science modelling flow, including model selection, evaluation, and results interpretation.
• Analyze marketing effectiveness using ROI, ROAS, and conversion funnels.
• Handle marketing data through QA, manipulation, joins, and aggregation tasks.

Required Skills

• 3-4 years of experience in a similar analytical role.
• Proficiency in Python or R (tidyverse, LME4/lmertest, plotly/ggplot2) for data manipulation, modelling, and visualization.
• Strong SQL skills including joins, aggregation, and analytical functions.
• Experience with Media Mix Modelling, ad-stock effects, saturation effects, and multi-touch attribution.
• Knowledge of Bayes’ theorem, Shapley value, Markov chain, response curves, and marginal ROI.
• Ability to perform statistical tests and handle marketing channel data.
• Experience with data visualization tools such as Tableau, PowerPoint, and Excel.

Preferred Skills

• Ability to communicate complex insights through storytelling and formal presentations.
• Understanding of halo effects and cannibalization in marketing contexts.

Key Skills

Education

Bachelor's degree in Statistics, Mathematics, Computer Science, Engineering,