A seasoned Business Administrator with nine years of expertise in the field, coupled with strong capabilities as a Full Stack Developer adept in languages and technologies such as C#, PHP, SQL, HTML, and CSS. Possessing a comprehensive understanding of Python, R, and ETL tools, and demonstrating significant experience in Linux environments, data visualization with PowerBI and Tableau, and advanced functionalities of Excel. Earned a Bachelor's degree in Statistics from the Federal University of Paraná, showcasing robust skills in statistics, data analysis through applied mathematics, and statistical mechanics. Exhibiting exceptional proficiency in writing, communication, and rhetorical skills, underpinned by interests in literature, philosophy, comparative religion studies, jazz music, and physical fitness. Proven ability in leadership, management of personnel, conflict resolution, and fostering strong interpersonal relationships, alongside a capacity for rapid logical reasoning.

A Systems Analyst specializing in client and supplier relations, with expertise in developing dashboards using the Tableau platform and proficient in SQL data manipulation. Skilled in IT process roles and well-versed in agile methodologies, including ITIL, SCRUM, and COBIT.

A data analysis professional with a degree in Data Science and ongoing postgraduate studies in Artificial Intelligence, possessing extensive knowledge in programming languages such as Python, SQL, and R. Experienced in developing innovative solutions utilizing relational and NoSQL database systems like PostgreSQL, MySQL, and MongoDB. Proficient in data visualization tools such as PowerBI and Tableau, with a strong focus on Machine Learning, Natural Language Processing, and AI applications to enhance process optimization and data-driven decision-making. Demonstrates analytical and creative skills in integrating and automating processes, alongside experience in building machine learning models and ensuring data integrity through collaboration with compliance teams.

Data Scientist holding a Bachelor's degree in Physics and a degree in Industrial Automation, specializing in SQL databases, Google Cloud Platform, Tableau, Power BI, and primarily Python. Engages in the application of artificial intelligence techniques, statistical analysis, and machine learning to develop and maintain predictive and optimization models for resolving business challenges, from data extraction to production deployment. Possesses extensive experience in dashboard creation and task automation within data and analytics teams.

A Data Analyst driven by a passion for data and statistics, consistently seeking to embrace new challenges and innovative solutions. Demonstrates robust competencies in teamwork, excellence, structured thinking, and career development. Exhibits a collaborative work ethic, coupled with adept decision-making and problem-solving capabilities. Possesses strong planning and organizational skills, along with a continuous pursuit of innovation.

Professional with six years of experience in Human Resources, encompassing roles in multinational companies across various sectors, including Retail, Wellness, and Finance. Held positions as an HR Business Partner and in Senior People Analytics, focusing on supporting HR leaders in data collection and analysis to inform business decisions and solutions.

Possesses extensive expertise in leveraging data-driven insights to formulate HR strategies, automate processes, enhance employee engagement, and optimize workforce performance through advanced analytics tools such as BI, Excel, and Python. Adept at utilizing these tools to address complex HR challenges.

A passionate advocate for fostering a data-informed and data-driven culture, with a commitment to having a positive organizational impact by standardizing descriptive, quantitative, and predictive analysis to support leadership.

The candidate is a seasoned Planning and Control Analyst with extensive experience in data analysis acquired through roles in prominent organizations. Expertise includes the development of automated dashboards and reports employing advanced tools such as Excel (VBA), Power BI, and SQL, with a strong foundation in Business Intelligence methodologies. Proven track record in leading data integration and process automation projects that enhance decision-making efficiency and operational productivity. The candidate's capacity to work under high-pressure environments ensures precision and timely delivery of results. Strong communication skills facilitate the clear presentation of complex data, aligning analytical efforts with strategic business objectives for sustainable growth.

Lucia is an Industrial engineer with a special interest in operations and data analysis. Lucia led several teams at different production sites, and has over 10 years of experience in Supply Chain & Ops roles.

Zap BI is a business intelligence software that integrates with ERP systems to provide advanced data analytics and reporting. It enables users to transform raw data into actionable insights, facilitating better decision-making through customizable dashboards, automated reporting, and data visualization tools.

A Zap BI expert must have strong skills in data analysis, proficiency in SQL, and experience with ERP systems. They should be adept at creating and customizing dashboards, generating automated reports, and utilizing data visualization tools. Knowledge of ETL processes and familiarity with the specific ERP systems integrated with Zap BI are also essential.

How to hire a Zap Bi expert

Zap BI was developed to address the need for enhanced data analytics and reporting within ERP systems. It was designed to transform raw data into actionable insights, providing users with customizable dashboards, automated reporting, and data visualization tools. The software aimed to facilitate better decision-making processes by offering advanced business intelligence capabilities.

About Zap Bi

Strengths of Zap BI included seamless ERP integration, user-friendly interface, and robust data visualization capabilities. Weaknesses involved limited customization options and occasional performance issues with large datasets. Competitors included 

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About Zap Bi

How to hire a Zap Bi expert

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