Analista de negócios Junior na iFood

Brasil

iFood, a leading Brazilian technology company, is looking for a Junior Business Analyst to explore and analyze demand projections, develop insights, automate dashboards, and implement AI‑driven solutions to improve operational efficiency.

Requisitos

Experiência

Experience in statistics, predictive models, machine learning, and AI applied to planning and optimization.

Habilidades

Solid knowledge of tools and programming languages such as Python, SQL, Databricks, and platforms like Google Workspace and ThoughtSpot.
Experience in statistics, predictive models, machine learning, and AI applied to planning and optimization.
Ability to transform complex data into clear narratives supporting strategic decisions with robust analysis.
Ability to create automated solutions (ETLs, scripts, models) for efficiency and scalability.
Familiarity with AI and machine learning libraries and frameworks.
Ability to work with multidisciplinary teams and manage stakeholders.
Investigative profile, curiosity, and focus on problem-solving.
Excellent organization and sense of responsibility.

Idiomas

Portuguese

Responsabilidades

Explore and analyze demand projections, signaling gaps, improvement opportunities, and possible optimizations.
Develop complex analyses that integrate data from multiple sources and areas (logistics, operations, growth, marketplace) generating actionable insights.
Create, automate, and maintain dashboards, monitoring tools, simulators and models based on AI to facilitate decision making and increase efficiency.
Implement data-oriented solutions using machine learning and AI technologies to predict demand, optimize processes, and automate repetitive tasks.
Contribute to structuring demand planning processes for new categories, supporting with predictive models, optimized algorithms, and AI-based solutions.
Investigate operational performance deviations related to demand, using statistical models and AI tools to propose action plans based on concrete data.
Identify automation and efficiency improvement opportunities in S&OP and S&OE routines, applying AI and advanced models to ensure more assertive decisions.
Promote communication and alignment among stakeholders, ensuring visibility and clarity in numbers and demand forecasts for multi-categories.

Tecnologias

PythonSQLDatabricksGoogle WorkspaceThoughtSpotMachine learningArtificial intelligenceETL

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