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Data Analytics & AI Enablement Analyst

Lenovo -
Jaguariúna, SP

Candidate-se Agora

Detalhes da vaga

Tempo integral

Qualificações

Estatística
Power BI
Gestão
Ciência da Computação
PMP
Cadeia de suprimentos
Inglês
Tableau
SQL
Habilidades de Apresentação
Graduação
Machine Learning
Data analytics
Análise Preditiva
Visualização de Dados
Inteligência artificial
Liderança de Projetos
Liderança
Python
Analíticos

Descrição completa da vaga

General Information

Req #

WD00100689

Career area:

Data Management and Analytics

Country/Region:

Brazil

State:

São Paulo

City:

JAGUARIUNA

Date:

Monday, June 29, 2026

Working time:

Full-time

Additional Locations:

Brazil - São Paulo - Jaguariúna

Brazil - São Paulo - JAGUARIUNA

Why Work at Lenovo

We are Lenovo. We do what we say. We own what we do. We WOW our customers.

Lenovo is a US$83 billion revenue global technology powerhouse, ranked #196 in the Fortune Global 500, and serving millions of customers every day in 180 markets. Focused on a bold vision to deliver Smarter Technology for All, Lenovo has built on its success as the world’s largest PC company with a full-stack portfolio of AI-enabled, AI-ready, and AI-optimized devices (PCs, workstations, smartphones, tablets), infrastructure (server, storage, edge, high performance computing and software defined infrastructure), software, solutions, and services. Lenovo’s continued investment in world-changing innovation is building a more equitable, trustworthy, and smarter future for everyone, everywhere. Lenovo is listed on the Hong Kong stock exchange under Lenovo Group Limited (HKSE: 992) (ADR: LNVGY).

This transformation together with Lenovo’s world-changing innovation is building a more inclusive, trustworthy, and smarter future for everyone, everywhere. To find out more visit www.lenovo.com, and read about the latest news via our StoryHub.

Description and Requirements

Position Summary

We are seeking a highly analytical and innovative Data Analytics & AI Enablement Analyst to lead the development of data-driven solutions that accelerate operational excellence and AI adoption across Latin America Service (LA) operations.

This role serves as the bridge between business operations, data analytics, automation, and emerging technologies, transforming complex operational challenges into scalable analytical solutions. The position is responsible for building and maintaining the data foundation, analytical frameworks, automation capabilities, and Machine Learning initiatives that support strategic decision-making and operational performance.

The successful candidate will play a key role in the organization's digital transformation journey by driving automation, improving visibility across critical supply chain processes, and enabling predictive decision-making capabilities.

Key Responsibilities

Data Analytics & Business Intelligence

Design, develop, and maintain analytical models, dashboards, and reporting frameworks that provide actionable business insights.
Build scalable data solutions that improve visibility across supply chain, inventory, service, and operational processes.
Ensure data accuracy, integrity, and governance across multiple data sources and business functions.
Translate business requirements into analytical solutions that support operational and strategic decision-making.

AI & Machine Learning Enablement

Lead the implementation and adoption of AI and Machine Learning initiatives across LA operations.
Identify opportunities to leverage predictive analytics and automation to improve business outcomes.
Collaborate with business leaders to define AI use cases, success metrics, and deployment strategies.
Support the evolution of operational processes from reactive to predictive and intelligent decision models.

Automation & Process Transformation

Develop automation solutions that reduce manual effort and improve operational efficiency.
Partner with cross-functional teams to streamline workflows and eliminate repetitive activities.
Drive process standardization through data-driven methodologies and automation technologies.
Measure and communicate business impact, productivity gains, and cost optimization opportunities.

Strategic Project Leadership

Lead multiple strategic analytics and transformation initiatives simultaneously.
Manage project roadmaps, priorities, stakeholders, and implementation plans.
Support key business initiatives related to inventory optimization, supply planning, risk management, and cost reduction.
Provide executive-level insights and recommendations based on data analysis and predictive modeling.

Stakeholder Management

Act as a trusted advisor to business leaders on data, analytics, automation, and AI opportunities.
Collaborate with Supply Chain, Operations, IT, Engineering, Finance, and Global teams.
Drive adoption of new tools, processes, and analytical capabilities throughout the organization.

Qualifications

Required

Bachelor's degree in Data Science, Computer Science, Engineering, Information Systems, Mathematics, Statistics, Supply Chain, or related field.
3+ years of experience in Data Analytics, Business Intelligence, Data Science, Supply Chain Analytics, or related areas.
Strong experience with SQL, Python, and data visualization tools such as Power BI, Tableau, or similar platforms.
Experience developing analytical models, automation solutions, and business intelligence frameworks.
Proven ability to translate business challenges into scalable data solutions.
Strong project management and stakeholder management skills.
Excellent communication and presentation skills with the ability to influence senior leadership.
Fluency in English is required to work with global teams

Preferred

Experience with Machine Learning, Predictive Analytics, or AI implementation projects.
Experience working in Supply Chain, Service Operations, Manufacturing, or Technology environments.
Familiarity with BigQuery, cloud-based analytics platforms, and modern data architecture.
Knowledge of process automation technologies and workflow optimization.
Advanced degree in Analytics, Data Science, Engineering, Business, or related field.

Key Success Indicators

Increased adoption of AI and Machine Learning capabilities across operations.
Reduction of manual effort through automation and process optimization.
Improved operational visibility and decision-making effectiveness.
Delivery of measurable cost savings and productivity improvements.
Successful execution of strategic analytics and transformation projects.
Enhanced data quality, governance, and business intelligence capabilities.

Additional Locations:

Brazil - São Paulo - Jaguariúna

Brazil - São Paulo - JAGUARIUNA

Brazil

Brazil - São Paulo

* Brazil - São Paulo - Jaguariúna , * Brazil - São Paulo - JAGUARIUNA

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