Here's how you can showcase your skill in analyzing trends and patterns to your employer.

Visualize as informa??es com gráficos de linhas, barras e tabelas para destacar tendências e compara??es. Analise os dados identificando padr?es de crescimento, comparando desempenhos anteriores e destacando varia??es significativas. Comunique suas descobertas fornecendo contexto e discutindo as implica??es práticas para decis?es estratégicas. Por exemplo, se há um aumento nas vendas trimestrais, utilize gráficos e tabelas para ilustrar, identifique as causas e recomende estratégias como expans?o de campanhas, aumento de estoque e treinamento de equipe. Utilize ferramentas como Excel, Tableau/Power BI e R/Python para facilitar essas análises e visualiza??es.

It is significant to reflect not only the number, but also show the trend & patterns when presenting the data. One image and Two & Three Paragraph are the most impactful combination to structure the powerful data storytelling. Image would grasp the audience's focus, while text complement the contexts which image might miss out. The most common framework for the presenting data is the image with sufficient explanation by text. Analytical skill doesn't only include the hard skills like charts, report, and toolkit. it must include the great soft skill which shows the story itself.

Past the is the great example to reflect the present situation. It means that there is a pattern that occurs in front of similar situations. And the analyst can utilize the great heritage from the past to make the better future. For example, there were a variety of fraud attempts to exploit the customer's assets in the fintech industries. By collecting the cases and examples, the analysts can analyze the past data and track the behaviors which has a higher possibilities to be considered as a fraud. Instead of providing tremendous numbers and metrics, it is always persuasive to say that 'there was a same case like this before'. it is very powerful method to provide an evidence that we must act upon this case right now.

é importante mencionar como você se mantém atualizado com as ferramentas e técnicas analíticas mais recentes. Isso pode incluir a participa??o em webinars, conferências, e a leitura de publica??es e blogs especializados. Demonstrar que você aplica esses conhecimentos na sua fun??o atual pode ser feito através de exemplos práticos. Por exemplo, falar sobre um projeto recente onde você utilizou uma nova técnica de análise para resolver um problema complexo ou melhorar processos internos.

Mapear os processos existentes e identificar pontos críticos. Utilizando técnicas de análise de dados para medir a performance e encontrar padr?es de ineficiência. Trabalho em uma equipe multidisciplinar para coletar, analisar e interpretar grandes volumes de dados, com cria??o de modelos preditivos para avaliar os riscos e sugerir medidas mitigadoras.

Feedback Loop is one of the most essential process which optimize and improve your analytical works. As a human being, we are likely to interpret the data in the perspective of our own sight, not in the perspectives of others, such as clients, C-levels, and stakeholders. 80% of analytical works can be done by your own efforts, such as data cleansing, wrangling or visualization. However, 20% of works must be accompanied with the colleagues or stakeholders' feedback. The power of feedback gets bigger when the analytics getting more complicated, involving more stakeholders, and more engagement level. It is good to remember that there is no perfect analytics in the workspace. But there is always a better analytics in our works.