Vaga de Desenvolvedor de Sistemas

experiência: requirements: bachelors degree in a relevant field (e.G. Mathematics, statistics, computer science, economics) 4+ years of experience in data analytics and business insights, with a strong focus on e-Commerce and digital native brands strong knowledge of data analytics tools and techniques (e.G. Sql, tableau, powerbi) excellent communication and presentation skills, with the ability to clearly articulate complex data-Driven insights to both technical and non-Technical stakeholders ability to work collaboratively with cross-Functional teams, including data engineering, data science, marketing, and product teams strong problem-Solving skills, with the ability to think critically and creatively to find solutions to complex business problems. Fluent english Tempo de contrato: indeterminado Horário: comercial Formação acadêmica: bachelors degree in a relevant field (e.G. Mathematics, statistics, c Observações: job description: we are seeking a highly skilled and experienced senior analyst / coordinator / junior manager to join our team and lead our data analytics and business insights efforts. As a key member of our team, you will be responsible for leveraging data to drive strategic decision-Making and support our business objectives. You will play a critical role in developing and executing data-Driven strategies that will drive growth, improve customer experience, and increase profitability. Responsibilities: lead the development and implementation of a data analytics and business insights strategy that supports the companys goals and objectives conduct in-Depth analysis of customer behavior, market trends, and competitive landscape to identify growth opportunities partner with cross-Functional teams to develop and implement data-Driven initiatives that drive growth, improve customer experience, and increase profitability develop and maintain a suite of reports and dashboards to monitor key performance indicators (kpis) and provide insights to the business collaborate with data engineering and data science teams to develop and implement data models, algorithms, and machine learning techniques to support data-Driven decision-Making provide strategic recommendations to senior leadership based on data-Driven insights and analysis stay current on industry trends, emerging technologies, and best practices in data analytics and business insights.