Project & AI Analyst II

Azzas 2154 | Fashion & Lifestyle Men

. Serve as a high-impact executor of the company’s key AI use cases, working directly with business units .

Posted 11/4/2026full-timeRio de Janeiro • BrazilMid-LevelSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in executing AI projects by translating business challenges into scalable technical solutions, utilizing data, models, and automation. Engages with stakeholders to influence decisions while fostering a collaborative and knowledge-sharing environment.

Highest-signal resume keywords

AI Solutions ImplementationData Analysis and VisualizationTechnical LeadershipCritical ThinkingStakeholder Engagement

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

AI ToolsAutomationAnalyticsModelsAPIsTechnical ExecutionScalable SolutionsIntegrationProblem-SolvingTechnical Trade-Off Assessment

Soft Skills

Clear CommunicationAutonomyAccountabilityCollaborative MindsetInfluence

Industry Keywords

Wholesale DivisionBusiness ContextsStakeholder InfluenceCollective GrowthMaturing Environments

About the role

Key responsibilities & impact

Serve as a high-impact executor of the company’s key AI use cases, working directly with business units
Translate real-world problems into efficient, scalable technical solutions aligned with the available technology stack
Lead end-to-end AI projects within the Wholesale division
Translate business problems into appropriate technical solutions, including automation, analytics, models, agents, and applications
Select, implement, and integrate AI solutions with a focus on value, speed, and quality
Engage directly with senior stakeholders, influencing decisions and priorities
Act as a technical and practical reference for other analysts
Share learnings and solutions with the team, fostering collective growth

Requirements

What you’ll need

Strong technical execution skills, using code, platforms, and AI tools in an integrated manner
Experience with AI solutions applied to real-world business contexts
Ability to work with data, models, APIs, automations, and visualizations
Critical thinking to assess technical trade-offs and business impacts
Comfort working in environments that are still maturing
Clear communication with business teams
Autonomy and a strong sense of accountability
Ability to challenge requests and redirect efforts toward areas with greater value
Informal influence and a technical leadership mindset
Collaborative and knowledge-sharing mindset

Benefits

Comp & perks

Position also open to people with disabilities
Collaborative and connected environment grounded in empathy and freedom
Opportunities for professional development and collective growth