Advanced proficiency in R (tidyverse, LME4/lmerTest, plotly/ggplot2) or Python for data manipulation, modelling, and visualization, and SQL for data handling.
Strong ability to handle and analyze complex marketing data and perform statistical tests.
Expertise in data visualization tools such as Tableau, PowerPoint, and Excel.
Exceptional storytelling skills with the ability to generate insights and strategic recommendations.
Proven leadership and team management skills, with the ability to mentor and develop junior analysts.
Experience working with cloud platforms (e.g., AWS, Google Cloud, Azure) for data-related tasks.
Excellent client-facing skills with the ability to present results, recommend solutions persuasively, and pursue clients for advanced solutions.
Strong business acumen to identify and tap additional revenue opportunities.
Experience with optimization algorithms and the ability to guide the team on solving business optimization problems.
Qualifications:
Bachelors degree in Statistics, Mathematics, Computer Science, Engineering, or a related field; a masters degree is preferred.
Minimum of 8-10 years of experience in marketing measurement and attribution, with at least 4 years in a leadership role.
Strong analytical and problem-solving skills, with a track record of driving data-driven marketing strategies.
Excellent communication and presentation skills, with the ability to convey complex concepts to non-technical stakeholders.