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The Mosaic Company

Analytics and Artificial Intelligence Specialist

The Mosaic Company

Analytics Specialist developing advanced analysis and dashboards for sales and operations efficiency at Mosaic Fertilizantes. Collaborating across various teams to support data-driven decision making.

Posted 4/28/2026full-timeUberaba • 🇧🇷 BrazilMid-LevelSeniorWebsite

Tech Stack

Tools & technologies
ERPOraclePythonSQLTableauVBA

About the role

Key responsibilities & impact
  • Responsible for developing advanced analyses, predictive models and dashboards that support data-driven decision making for the efficient execution of the Sales & Operations Execution (S&OE) plan, ensuring visibility, agile decision-making and alignment across commercial, supply chain, planning and operations teams.
  • Modeling and forecasting (Demand/Capacity/Allocation).
  • Dashboards and visualizations.
  • Maintenance/tuning of models (statistical/ML), backtesting and parameter calibration.
  • Scenario and sensitivity simulations.
  • Building/updating dashboards (Power BI/Tableau), DAX/SQL, and KPI governance.
  • Ensure usability and visual storytelling for leadership.
  • Data analysis and insights & support for decision-making (stakeholders / S&OE rituals).
  • Collection, processing and analysis of sales, production, logistics, inventory, OTIF (On-Time In-Full), lead times, etc.
  • Generate insights for S&OE meetings.
  • Weekly meetings and alignments with Commercial, Supply, Planning and Logistics.
  • Ad-hoc analyses for committees and regional sales.
  • Process and data governance and data quality.
  • Integrity monitoring, reconciliations across systems (ERP/CRM/Planning), and data cataloging.
  • Standardization and documentation.
  • Automation and efficiency (scripts/processes).
  • Creation/maintenance of pipelines (SQL/Python), Excel/Power Query automations, and reduction of rework.

Requirements

What you’ll need
  • Bachelor’s degree in Data Science, Business Intelligence, Statistics, Business Administration, Economics or related fields in analytics and data science.
  • Experience in Analytics, preferably in Supply Chain or S&OE.
  • Advanced Excel (modeling, Power Query, VBA).
  • Power BI / Tableau (building, visualization and dashboards).
  • Languages: SQL, Python or R for analysis, automation and solution development.
  • Familiarity with ERPs (SAP, Oracle) and planning systems.
  • Certifications: Lean Six Sigma Green Belt, certifications in BI or Data Science tools.
  • Postgraduate degree / MBA.
  • Intermediate English.

Benefits

Comp & perks
  • Health insurance and telemedicine;
  • Dental plan;
  • Transportation voucher or company shuttle*;
  • Life insurance;
  • PPR (Results Participation Program);
  • Private pension plan;
  • Wellhub (Gympass);
  • Food allowance;
  • Meal allowance*;
  • Employee Assistance Program (Apoiar);
  • Wellbeing program (Wellness);
  • Language assistance;
  • Childcare / babysitter assistance;
  • Assistance for child with disability*;
  • Extended maternity leave and paternity leave;
  • School supplies assistance**;

ATS Keywords

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Hard Skills & Tools
data analysispredictive modelingdashboard developmentstatistical modelingmachine learningDAXSQLPythonExcelPower Query
Soft Skills
data-driven decision makingvisual storytellingstakeholder communicationagile decision-makingcollaborationprocess governancedata quality managementstandardizationdocumentationautomation
Certifications
Lean Six Sigma Green BeltBI certificationsData Science certifications