People Analytics Specialist (HR Data & Insights)

Join Our Mission to Lead the Future of Snacking

Together with analytics team leaders you will support our business with excellent data models to uncover trends that can drive long-term business results.

How you will contribute:

You will:

• Work in close partnership with the business leadership team to execute the analytics agenda
• Identify and incubate best-in-class external partners to drive delivery on strategic projects
• Develop custom models/algorithms to uncover signals/patterns and trends to drive long-term business performance
• Execute the business analytics program agenda using a methodical approach that conveys to stakeholders what business analytics will deliver

What you will bring:

A desire to drive your future and accelerate your career and the following experience and knowledge:

• Using data analysis to make recommendations to senior leaders
• Technical experience in roles in best-in-class analytics practices
• Experience deploying new analytical approaches in a complex and highly matrixed organization
• Savvy in usage of the analytics techniques to create business impacts

Principais responsabilidades:

• Estruturar, organizar e garantir a confiabilidade dos dados de RH (people data), atuando na construção de uma base sólida para análises
• Desenvolver e automatizar dashboards e relatórios (Power BI / Excel), garantindo eficiência e escalabilidade
• Analisar indicadores-chave como turnover, engajamento, diversidade e performance, conectando-os com o contexto do negócio
• Gerar insights que apoiem decisões estratégicas de liderança (ex: estrutura organizacional, promoções, retenção de talentos)
• Atuar como parceiro das lideranças de RH, construindo relações de confiança e influenciando decisões com base em dados
• Apoiar o acompanhamento de iniciativas de people (ex: planos de engajamento, agenda de talento, diversidade)
• Identificar oportunidades de melhoria e automação contínua nos processos da área
• (Plus) Apoiar análises relacionadas a budget e temas de rewards

Perfil buscado:

• Experiência prévia com análise de dados aplicada a RH / People Analytics / áreas correlatas
• Forte capacidade analítica, com habilidade de interpretar dados e traduzi-los em recomendações práticas
• Experiência com Excel avançado e Power BI
• Perfil consultivo, com habilidade de influenciar stakeholders e construir parcerias
• Mentalidade orientada à automação e melhoria contínua
• Boa comunicação e habilidade de storytelling com dados

Diferenciais:

• Experiência com budget / rewards
• Inglês avançado

A posição está baseada em São Paulo, SP (modelo híbrido).

No Relocation support available

Business Unit Summary:

Mondelēz Brasil is Mondelēz International's fourth largest operation in the world, with approximately 7,500 employees proudly producing, selling and distributing some of the most beloved brands of chewing gum, candies, powdered beverages, cream cheeses, chocolates, cookies and desserts in Brazil. We make the Brazilians' favorite products such as Bis, Lacta, Oreo, Club Social, Sonho de Valsa, Trakinas, Trident, Halls, Royal, Tang and many others. We are truly part of the lives of Brazilians: You can find our mouth-watering products in more than 700,000 points of sale and we are present in more than 92% of Brazilian homes. Our factories are located in Vitória de Santo Antão, in the state of Pernambuco, and Curitiba, in the state of Paraná. We are also home to one of the company's 11 technology centers around the world, responsible for research and development, so we can continue to create new and innovative products, offering the right snack for the right time, done in the right way.

Mondelēz International is an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, gender, sexual orientation or preference, gender identity, national origin, disability status, protected veteran status, or any other characteristic protected by law.

Job Type: RegularAnalytics & ModellingAnalytics & Data Science