People Analytics Coordinator

Syngenta; São Paulo; Presencial; BRL 100.000 - 160.000; Tempo integral

Resumo da oferta

A Syngenta, uma empresa agrícola de destaque, está buscando um Coordenador de People Analytics para liderar iniciativas de análise de dados na área de RH. O profissional será responsável pela automação dos processos, gestão de dashboards e colaboração com equipes multifuncionais para proporcionar insights baseados em dados. Com um forte foco em ferramentas como R e Python, este papel requer experiência significativa em análises e visualização de dados, contribuindo para decisões de negócios estratégicas.

Qualificações

• Mínimo de 5 anos de experiência com dados e análises de RH.
• Experiência em ferramentas de automação como Power Automate.
• Fluência em inglês e espanhol é imprescindível.

Responsabilidades

• Liderar 3 desenvolvedores em automação e análises.
• Desenvolver e gerenciar um dashboard de People Analytics.
• Conduzir análises profundas e fornecer insights usando ferramentas como R e Python.

Conhecimentos

Visualização de dados

Análise de dados

Programação em R

Programação em Python

Metodologias ágeis

Solução de problemas

Comunicação

Formação académica

Bacharelado em Ciência da Computação, Estatística, Ciência de Dados ou área relacionada

Ferramentas

Tableau

Power BI

Workday

SAP SuccessFactors

Glint

Descrição da oferta de emprego

Syngenta is a leading agriculture company helping to improve global food security by enabling millions of farmers to make better use of available resources. Through world class science and innovative crop solutions, our 28,000 people in over 90 countries are working to transform how crops are grown. We are committed to rescuing land from degradation, enhancing biodiversity and revitalizing rural communities.

Objective:

We are looking for an experienced People Analytics Coordinator to lead and manage our People Analytics initiatives. As a People Analytics Coordinator, you will be responsible for managing digital product development, automation, and analytics using a dev ops triple diamond approach. You will also act as a focal point for global projects related to analytics and data science in HR.

Responsibilities:

• Lead 3 developers (automation and analytics)
• Collaborate with cross-functional teams to understand and prioritize business needs and translate them into data-driven insights
• Develop and manage a People Analytics dashboard to provide forecasting and reporting for HR data and metrics
• Lead and manage end-to-end HR automation and analytics projects, including design, documentation, delivery and testing
• Conduct ad hoc deep dive analysis and provide insights based on data science tools such as R, Python, and other relevant tools
• Work with HR stakeholders to identify opportunities to leverage data insights to drive business decisions and efficiency
• Develop and implement data quality control processes to ensure data accuracy and consistency
• Provide data visualization solutions to support HR data storytelling needs
• Develop and maintain strong relationships with global cross-functional teams to ensure insights are delivered in a timely and efficient manner
• Manage and lead an agile team comprised of data engineers, data analysts and data scientists
• Act as an expert to the HR Operations BR team, providing them with performance analytics, and extracting data and reports from several systems such as Workday, Glint, ServiceNow for daily dashboard updates and partial result communication via email or other communication channels
• Prepare, consolidate, and present performance reports by analyzing reasons for deviations and actions for improvement to HR Operations BR team
• Coordinate development demands and adjustments in service-related forms for HR Operations BR team
• Be the main data partner for HR areas (POD, COE, BP’s and HR Business)

WL4A

• Bachelor's degree in Computer Science, Statistics, Data Science, or related field
• Minimum of 5 years of experience working with HR data and analytics
• Strong knowledge and experience in data visualization tools such as Tableau, Power BI
• Experience with automation tools such as Power Automate, Automation Anywhere or UiPath
• Advanced proficiency in programming languages such as R and/or Python
• Experience applying statistical methods such as regression analysis, time series analysis, hypothesis testing, and clustering analysis to solve business problems
• Strong experience implementing agile methodologies and managing a product backlog
• Strong problem-solving and multi-tasking skills with a desire to learn and take on new challenges
• English and Spanish are a must
• Experience working with HR data management tools such as Workday, SAP SuccessFactors, ADP, Glint, SmartRecruiters and etc.
• Excellent communication and presentation skills to effectively communicate complex data insights to both technical and non-technical stakeholders
• Ability to work effectively both independently and in a team environment
• Understanding of HR processes such as performance management, talent acquisition, and employee engagement
• Experience with machine learning algorithms and predictive modeling

About the company

A leading agriculture company helping to improve global food security by enabling millions of farmers to make better use of available resources.

Notice

Talentify is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or protected veteran status.

Talentify provides reasonable accommodations to qualified applicants with disabilities, including disabled veterans. Request assistance at [e-mail] or 407-000-0000.

Federal law requires every new hire to complete Form I-9 and present proof of identity and U.S. work eligibility.

An Automated Employment Decision Tool (AEDT) will score your job-related skills and responses. Bias-audit & data-use details: www.talentify.io/bias-audit-report . NYC applicants may request an alternative process or accommodation at [e-mail] or 407-000-0000.