Qualifications:
● Bachelor's degree in Statistics, Mathematics, Computer Science, Engineering, or a related field.
● Proven 3-4 years of experience in a similar role.
● Strong analytical and problem-solving skills.
● Excellent communication and presentation skills.
Skills:
● Proficiency in R (tidyverse, LME4/lmerTest, plotly/ggplot2), or Python, for data manipulation and modelling and visualization, and SQL (joins, aggregation, analytics functions) for data handling.
● Ability to handle & analyse marketing data and perform statistical tests.
● Experience with data visualization tools such as Tableau, PowerPoint, Excel.
● Strong storytelling skills and the ability to generate insights & recommendations.
Responsibilities:
● Understand business requirements and suggest appropriate marketing measurement solutions (Media Mix Modelling, Multi Touch Attribution, etc.)
● Conduct panel data analysis using fixed effects, random effects, and mixed effects models.
● Perform econometric modelling, including model evaluation, model selection, and results interpretation.
● Understand, execute, and evaluate the data science modelling flow.
● Understand marketing, its objectives, and effectiveness measures such as ROI/ROAS.
● Familiarity with marketing channels, performance metrics, and conversion funnel.
● Experience with media mix modelling, ad-stock effect, saturation effect, multi-touch attribution, rule-based attribution, and media mix optimization.
● Knowledge of Bayes’ theorem, Shapley value, Markov chain, response curve, marginal ROI, halo effect, and cannibalization.
● Experience handling marketing data and performing data QA & manipulation tasks such as joins/merge, aggregation & segregation, append.