Data Analyst

3 semanas atrás


Rio de Janeiro, Brasil TIM Brasil Tempo inteiro

É ter MAIS sintonia com todo o TIMe e se conectar com o que acreditamos. É aprender novas formas de oferecer ao mundo um trabalho com MAIS propósito.


É o que nos move a fazer MAIS e melhor. É desenvolver habilidades com criatividade e transformar tecnologia em MAIS liberdade.


É imaginar as possibilidades com MAIS inovação, conectando todas as pessoas, com respeito e agilidade.


É uma cultura cada vez MAIS essencial par o nosso dia a dia. É criar um impacto MAIS positivo sendo quem você é.

Vem ser você e fazer parte de um TIMe que tem a coragem para inovar, a liberdade de tentar e a vontade para fazer a diferença na vida das pessoas.

Isso significa que temos um ambiente positivo de desenvolvimento, oportunidades e inclusão. São o reconhecimento de que fazemos a diferença na vida das pessoas. Vamos continuar trabalhando, desenvolvendo as melhores práticas do mercado e evoluindo junto com nosso TIMe.


Juntos, #SomosMaisNaTIM

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Experiência, conhecimento e formação:


• Big Data e Data Analytics;

• Ferramentas de análise e exploração de dados (SAS, Data Studio, Knime, Google Analytics, Google Tag Manager, etc.);

• Ferramentas de visualização de dados (Power BI, Tableau, Qlik etc);

• Conhecimento de soluções de dados em Cloud (GCP, Azure, OCI, etc);

• Ferramentas de pesquisa, testes e métricas (Supermetrics, etc.);

• Project Management;

• Formação superior completa na área de Exatas (engenharia, estatística, matemática ou áreas relacionadas).

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Descrição do perfil:


Responsável por analisar e interpretar grandes conjuntos de dados, encontrando tendências e métricas que possam ajudar a empresa a tomar decisões mais precisas e obter melhores resultados.

 

Principais Atividades:


• Capturar, analisar e interpretar grande volume de dados;

• Desenvolver modelos de dados para suportar a tomada de decisão;

• Suportar na identificação de padrões de comportamento para endereçar as necessidades de negócio e a geração de valor;

• Orientar de forma estatística todas as tendências operacionais, mensurando resultados e comparativos;

• Mapear e garantir os insights;

• Elaborar relatórios contínuos focando em oportunidades de melhoria dos resultados de negócio;

• Gerar indicadores, métricas e KPIs;

• Orientar e dar suporte para definição de KPI´s;

• Contribuir na disseminação de uma cultura de Data-Driven Decision na companhia, fazendo interface entre áreas técnicas e as diversas áreas de negócio;

• Colaborar com discussões relacionadas à plataforma Big Data.


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