Hybrid Marketing Consultant – Analytics Focus

at ASSAI

• Job title: Marketing Consultant – Analytics Focus
• Job type: Full Time
• Experience level: Mid level, Senior
• Salary: Not specified
• Degree requirement: Bachelor's Degree
• Tech skills: Numpy, Pandas, Python, Scikit-Learn, SQL, Tableau
• Location requirements: Hybrid, Sao Paulo, Brazil

About the role

• Marketing Consultant focused on analytics at Assaí, the fastest growing wholesale company in Brazil. Role involves statistical analysis, model development, and actionable insights.

Responsibilities

• Conduct statistical analyses (correlation, linear/multiple regression, regularization techniques, ANOVA/ANCOVA) to explain variations in sales, margin and competitiveness.
• Design experiments and quasi-experiments (A/B tests, difference-in-differences, event studies, synthetic control) to measure the incremental impact of Trade and Retail Media activities.
• Develop marketing mix models (MMM) and time-series models for forecasting and impact decomposition.
• Apply causal methods to distinguish incremental effects from cannibalization.
• Define and maintain a taxonomy of metrics (OTS/LTS, reach, frequency, share, compliance, ROAS/ROI, elasticities).
• Create executive dashboards (Tableau/Power BI) with director-level storytelling.
• Specify and validate data layers with IT (clean, versioned SQL).
• Develop Python notebooks (pandas, numpy, scipy, statsmodels, scikit-learn) following reproducibility and versioning best practices.
• Translate analyses into actionable recommendations: budget allocation, channel prioritization, assortment optimization, pricing, promotions and test plans.
• Standardize metrics, definitions and analysis windows.
• Ensure documentation, version control and QA (checks, robustness/sensitivity tests).

Requirements

• Degree in Statistics, Industrial Engineering, Economics, Mathematics, Data Science or related fields.
• Experience in analytics applied to Retail, CPG, Trade and/or Retail Media.
• Strong command of statistics and probability (t-tests/χ², confidence intervals, p-values, statistical power, multiple comparisons).
• Experience with regressions (OLS/GLM), ANOVA and experiments/quasi-experiments.
• Proficiency in Python (pandas, numpy, scipy, statsmodels, scikit-learn) and SQL.
• Experience using Tableau or Power BI for executive storytelling.
• Ability to explain R², statistical significance and causality to non-technical audiences.

Benefits

• Health insurance;
• Dental insurance;
• Results-based profit-sharing (PPR);
• Corporate gym membership/discount;
• Discounted purchases in our stores when using the company card;
• Grocery voucher card (Cesta Básica card);
• Other benefits.