Senior Data Analyst

Há 4 dias

São Paulo, São Paulo, Brasil Pipefy Tempo inteiro R$120.000 - R$240.000 por ano

We are a collective group of fearless people with a clear purpose: to empower professionals around the world through intelligent workflow automation software. Currently, more than 500 people across 7 countries work with us, remotely or in a hybrid way, to make life easier for over 3,000 companies using Pipefy in more than 180 countries. Since our founding in 2015, we have put people at the center of everything we do, so we invite you to learn more about this position and apply to be part of our team.

Job Description:

We are looking for a Senior Data Analyst with a focus on Business Intelligence, Analytics, and Insights. The ideal candidate will have solid experience in data analysis, with a strong understanding of tools such as SQL and Python. The primary goal is to be able to translate data into actionable insights, supporting strategic decision-making across different business areas such as Sales, Product, Customer Success, and Go-to-Market. Familiarity with data visualization tools (such as Tableau) is desirable.

The professional will be responsible for leading complex data analysis projects, presenting results, and collaborating with different stakeholders to enhance the company's data strategy. Experience in data storytelling is essential, ensuring that insights are communicated and documented clearly and effectively.

* It is important to note that this opportunity is not related to data engineering.

Responsibilities:

  • Conduct advanced data analyses to generate insights into business performance, trends, and growth opportunities;

  • Communicate insights and strategic recommendations through presentations and data narratives (data storytelling), facilitating decision-making processes;

  • Collaborate with different business areas to understand needs and translate business questions into clear and objective data analyses;

  • Share knowledge and experience with the entire Data team, fostering technical collaboration and helping to increase the department's data maturity.

Requirements:

  • Experience in a data analysis role;

  • Strong communication skills;

  • Advanced SQL and proficiency in Python (Pandas, NumPy, Plotly, Scikit-learn);

  • Apply quantitative techniques to generate business insights;

  • Ability to work with cross-functional teams, especially Sales, Product, Customer Success, and Go-to-Market teams;

  • Familiarity with data visualization tools (such as Tableau) is desirable.

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