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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in statistical analysis, experimental design, and data-driven decision-making within the Retail and Trade Marketing sectors. Proficient in creating executive dashboards and translating complex data into actionable insights for senior leadership.
Highest-signal resume keywords
Statistical AnalysisA/B TestingSalesforceTableauPython
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Regression AnalysisHypothesis TestingExperimental DesignMarketing Mix ModelingData Validation
Soft Skills
CommunicationStorytellingCollaboration
Tools & Technologies
Power BIGitDatabricksBigQueryAzure
Industry Keywords
RetailCPGTrade MarketingRetail MediaKPI
Tech Stack
Tools & technologiesAzureBigQueryPythonSQLTableau
About the role
Key responsibilities & impact- Conduct statistical analyses, regressions, and projections to explain and anticipate variations in sales, margins, and competitiveness
- Design tests and experiments (A/B testing, difference-in-differences, among others) to measure the incremental impact of Trade Marketing and Retail Media initiatives
- Define and standardize the department’s metrics and KPIs (ROAS/ROI, market share, reach, frequency, and elasticities)
- Create executive dashboards and present findings to senior leadership with clarity and compelling storytelling
- Translate analyses into recommendations on budget allocation, channels, assortment, pricing, and promotions
- Validate data sets with IT and ensure the documentation and reliability of analyses
- Contribute to the development of departmental processes and standards and to the implementation of new tools
- Serve as the liaison between Sales, Marketing, Trade Marketing, and IT, managing priorities and expectations
Requirements
What you’ll need- Degree in Statistics, Production Engineering, Economics, Mathematics, Data Science, or a related field
- Solid experience in Analytics applied to Retail, CPG, Trade Marketing, and/or Retail Media
- Strong command of applied statistics, including hypothesis testing, regression analysis, and experimental design
- Experience with Salesforce, Tableau, and Power BI
- Ability to communicate technical concepts to non-technical audiences
- Preferred: proficiency in Python and SQL
- Preferred: experience with Marketing Mix Modeling (MMM) and advanced causal methods
- Preferred: postgraduate degree or master’s degree in a quantitative field
- Preferred: experience establishing departments or processes from the ground up
- Preferred: knowledge of Git and cloud environments (Databricks, BigQuery, Azure, or similar platforms)
- Preferred: intermediate or advanced English proficiency
Benefits
Comp & perks- Medical and dental insurance
- Assaí shopping voucher
- Meals provided at the workplace
- Extended maternity leave
- Transportation allowance
- Partnerships with Wellhub and TotalPass fitness programs
- Career development plan
