At a Glance
- Tasks: Analyse and interpret large data sets to generate actionable insights for HR decisions.
- Company: Join a forward-thinking company focused on data-driven HR strategies.
- Benefits: Full-time position with competitive salary and opportunities for professional growth.
- Other info: Dynamic work environment in São Paulo with a focus on continuous improvement.
- Why this job: Be at the forefront of People Analytics, transforming data into impactful business solutions.
- Qualifications: Strong analytical skills, advanced Excel, and experience in data analysis required.
The predicted salary is between 31500 - 38500 £ per year.
Buscamos uma pessoa com forte perfil analítico, para atuar na área de People Analytics, com foco em análise, tratamento e interpretação de grandes volumes de dados relacionados a pessoas, estruturas e indicadores corporativos. Embora a atuação esteja inserida no contexto de Recursos Humanos, este papel é predominantemente técnico e analítico, voltado à geração de insights consistentes que apoiem decisões de negócio com base em dados.
RESPONSABILIDADES:
- Estruturar, tratar e analisar grandes bases de dados relacionadas a pessoas (headcount, turnover, absenteísmo, performance, custos, indicadores operacionais etc.);
- Responsável por Workforce planning;
- Conduzir análises quantitativas para apoiar a tomada de decisão estratégica;
- Criar e manter relatórios, painéis e indicadores (KPIs) com alto nível de qualidade e confiabilidade;
- Trabalhar com Excel avançado para modelagem, consolidação e análise de dados;
- Realizar análises exploratórias, identificando padrões, tendências e correlações relevantes;
- Traduzir dados complexos em insights claros e aplicáveis para diferentes públicos;
- Apoiar projetos analíticos e estudos especiais, conectando dados a impactos de negócio;
- Atuar em parceria com times de RH, Finanças e outras áreas, mantendo o RH como campo de aplicação, e não como foco operacional.
REQUISITOS:
- Domínio da língua inglesa, que será usado com frequência na interação com a equipe de RH LATAM;
- Excel avançado (tabelas dinâmicas, fórmulas complexas, tratamento e análise de grandes volumes de dados);
- SPSS (Ferramenta de análise de dados);
- Experiência comprovada com análise de dados em larga escala;
- Forte capacidade analítica, raciocínio lógico e visão crítica;
- Facilidade para trabalhar com números, indicadores e métricas;
- Capacidade de estruturar problemas e propor soluções com base em evidências quantitativas.
FORMAÇÃO:
- Formação em Engenharia, Estatística, Matemática, Ciência de Dados, Sistemas de Informação, Economia ou áreas correlatas;
DIFERENCIAIS:
- Experiência prévia com People Analytics ou áreas analíticas corporativas;
- Conhecimento em Power BI, SQL, Python ou ferramentas de análise de dados;
- Vivência em ambientes orientados a indicadores e performance;
- Capacidade de comunicação analítica e apresentação de resultados.
O que buscamos neste perfil:
- Profissional técnico, analítico e questionador, com interesse genuíno por dados;
- Interesse em aplicar análise quantitativa e lógica em problemas reais de negócio;
- Alguém que enxergue o RH como fonte de dados e contexto analítico, e não como área operacional;
- Mentalidade analítica, com foco em consistência, qualidade da informação e melhoria contínua.
CARGA HORÁRIA: Período integral (44 horas semanais)
LOCALIZAÇÃO: Zona Sul de São Paulo (Moema)
ANALISTA DE PEOPLE ANALYTICS - (Foco em Dados) in Stevenage employer: Nord Anglia Education
Nord-Anglia Education is an exceptional employer, offering a vibrant work culture that prioritises professional development and collaboration among educators. Located in the historic city of Oxford, employees benefit from a supportive environment, competitive compensation, and the unique opportunity to engage with a diverse student body while enjoying provided accommodation and meals during their tenure.
StudySmarter Expert Advice🤫
We think this is how you could land ANALISTA DE PEOPLE ANALYTICS - (Foco em Dados) in Stevenage
✨Get Involved in Data Science Meetups
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We think you need these skills to ace ANALISTA DE PEOPLE ANALYTICS - (Foco em Dados) in Stevenage
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
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Craft a Tailored Cover Letter:For a full-time role at Nord Anglia Education, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Nord Anglia Education. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Nord Anglia Education
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
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✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Nord Anglia Education!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
