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Metro location, popular data role, mid-level experience band, and a strong employer brand increase applicant competition.
Skills like econometrics and MMx are somewhat domain-specific but broadly transferable across industries.
Explicit experience bands plus mandatory SQL and Python/R skills make shortlisting moderately strict.
Support analytical deliverables under guidance from senior team members, focusing on applying advanced statistical models to real business questions.
Develop custom analyses using R, Python, and Excel to inform investment decision-making based on data.
Assist in preparing analysis summaries, documentation, presentation materials, and provide regular project status updates.
Bachelor's degree with 3 to 6 years OR master's degree with 2 to 4 years in quantitative fields like data science, statistics, econometrics, applied mathematics, or engineering.
Experience in an analytical, data, or problem-solving role required.
Strong SQL skills and hands-on experience with Python or R mandatory.
Work Experience Required: 2 to 6 years depending on degree level.
Capable of structured problem solving and applying statistical modeling to dynamic business issues in marketing investment contexts.
Comfortable collaborating with senior associates to produce accurate, validated analytical outputs meeting quality standards.
Interest or exposure in Marketing Mix Modeling, econometrics, or analytics within pharma, healthcare, or regulated industries is an advantage.