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Senior Database Marketing Analyst
Negotiable Salary
Indeed
Full-time
Onsite
No experience limit
No degree limit
Praça do Patriarca, 62 - Centro Histórico de São Paulo, São Paulo - SP, 01002-010, Brazil
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Description

Description: What we need you to know: Technical Requirements * Intermediate to advanced experience in data analysis, SQL, and Python (for automation and data manipulation). * Proficiency in Excel and data visualization tools (Power BI, Tableau, or equivalents). * Knowledge of statistics and analytical modeling techniques. * Ability to structure and present analyses in an executive and visually compelling manner. Education * Bachelor’s degree in Data Engineering, Computer Science, Statistics, Mathematics, IT, or related fields. Desirable Certifications * Certifications in data analysis or data visualization (Power BI, Tableau, etc.). * Courses in data storytelling, advanced statistics, or executive communication. Differentiators * Familiarity with the telecommunications sector. * Knowledge (even basic) of ElasticSearch and Kibana. What we expect you to deliver: The professional will be responsible for transforming data into strategic insights, supporting decision-making and the development of evidence-based marketing campaigns. * Reside in São Paulo, with availability for in-person work (minimum 3x/week) in the Brooklin region. Key Responsibilities: * Collaborate with business areas to understand needs and translate requirements into data analyses. * Collect, process, and analyze large volumes of data, ensuring data quality and consistency. * Develop clear and impactful dashboards and data visualizations. * Structure executive presentations and data-driven performance reports, applying the Pyramid Principle and MECE methodology. * Craft data storytelling narratives that communicate results clearly, logically, and persuasively. * Support the development and evolution of the Data Lake and the IEP product, contributing to efficient use of data assets. * Collaborate with cross-functional teams to foster a data-driven decision-making culture. 2512210202551875832

Source:  indeed View original post
João Silva
Indeed · HR

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