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About the role
Key responsibilities & impact- Project structuring: Lead end-to-end complex analyses, from data collection through to presentation.
- Advanced analyses: Develop exploratory and diagnostic analyses, including root-cause investigations and hypothesis validation.
- Opportunity identification: Propose new metrics and market/competitive analyses.
- Insight generation: Identify patterns, trends, and opportunities from data to support business decisions.
- Mentorship: Guide and mentor less-experienced team members.
- Analytical evolution: Support the evolution of the analytics area by building more advanced and predictive analyses as the team's maturity grows.
Requirements
What you’ll need- Bachelor's degree in Engineering, Computer Science, Statistics, Mathematics, Economics, or a related field.
- Applied data science experience preferred (modeling, predictive or advanced analytics).
- Experience with predictive or generative AI is a valued plus.
- Experience in dynamic environments with demand prioritization and incremental deliveries.
- Familiarity with the financial market and product development is desirable.
Benefits
Comp & perks- Competitive salary;
- Meal allowance;
- Food allowance;
- Health insurance;
- Dental insurance;
- Hybrid work model;
- Life insurance;
- Private pension plan;
- Home office allowance;
- 6 months parental leave for all ANBIMA employees;
- Funeral assistance;
- Partnership benefits, birthday day off, and more...
ATS Keywords
✓ Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
data collectionexploratory analysisdiagnostic analysisroot-cause investigationhypothesis validationpredictive analyticsadvanced analyticsmodelinggenerative AI
Soft Skills
mentorshipleadershipanalytical thinking
Certifications
Bachelor's degree
