Career spans 24 years specializing in Acquiring, Payment Methods, Banking, and Card sectors, with in-depth experience in Data and Analytics, Operational Control, BackOffice, Financial Operations Control, and Risk Analysis, particularly Chargeback management. Proven ability to foster partnerships and relationships by facilitating the open exchange of ideas and opinions to drive business development. Prioritized the expansion of business knowledge by mastering, executing, and enhancing processes, reducing financial losses, conducting systemic simulations, implementing automations, and preparing and analyzing data to inform decision-making. Provided consistent support to partner areas to streamline operations and optimize financial performance.

A qualified professional with over 10 years of experience in information management, specializing in identifying gaps through statistical analysis to inform decision-making. Proficient in BI tools such as Power BI and Tableau, as well as programming languages including R and SQL, alongside advanced Excel capabilities. Demonstrates extensive experience in analyzing sales processes (Sell In and Sell Out), pricing strategies, strategic planning, and enhancing business routines across various regions, channels, and products/categories. Displays a strong aptitude for rapid learning of new activities and technologies, continuously updating knowledge on market trends and innovations.

Data Engineer with three years of experience specializing in the energy and financial sectors, complemented by one year of consultancy in Tableau. Expertise includes the utilization of Microsoft Azure cloud infrastructure for ETL/ELT processes, leveraging tools such as Python, Spark, SQL Server, Azure Synapse, Azure Data Factory, Databricks, and Pyspark. Proficient in constructing data lake architectures within the Azure Cloud environment and adept at developing and maintaining seamless data pipelines. Demonstrated capability in performance tuning for optimization, managing CI/CD processes using Git Actions, and a thorough understanding of both Agile Scrum and Waterfall methodologies. Skilled in data visualization tools, including Tableau and Power BI. Academic credentials include a Bachelor's degree in Information Systems.

Holds a degree in Computer Engineering from PUCPR, with over four years of experience in a Business Operations role specializing in Oracle SQL. Subsequently transitioned to a Business Analyst position within the oil sector, where responsibilities included working with SQL Server, Power BI, MS Azure, and implementing Scrum methodology. Additionally, managed a client portfolio, ensuring efficient Order to Cash process flow through SAP SD.

A Data Engineer with robust expertise in Data Warehousing, Business Intelligence, and SQL tuning, complemented by a background in Project Management and Agile Management (Scrum). Proficient in SQL Server databases and skilled in SQL tuning, as well as in executing ETL processes using SSIS and SQL scripts. Experienced in leveraging BI tools such as Power BI and Tableau to drive data-driven decision-making.

Paulo has six years of experience as a Machine Learning Engineer and two as a Backend Developer. His primary tech stack is Python, and he is proficient in machine learning algorithms, data analysis, and visualization.

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.

Yasmin Huvos, a 25-year-old professional from Brazil, is currently a Data Analyst. Her passion for collaborating with diverse individuals and cultures drives her work. She finds motivation in learning from challenges and consistently seeks opportunities for growth and development in her field.

Mode Analytics is a business intelligence platform that enables data analysts to explore, visualize, and share insights from complex data sets. It integrates SQL, Python, and R for advanced analysis, supports collaborative workflows, and provides real-time dashboards for data-driven decision-making.

A Mode Analytics expert must have strong proficiency in SQL, Python, and R for data analysis and visualization. They should be adept at creating and managing real-time dashboards, possess skills in data modeling, and be familiar with integrating various data sources.

How to hire a Mode Analytics expert

Mode Analytics was created in 2013 to address the need for a collaborative data analysis platform that combined SQL, Python, and R. It was founded by Benn Stancil, Derek Steer, and Josh Ferguson, who aimed to simplify the process of exploring and sharing complex data insights within organizations.

About Mode Analytics

Strengths of Mode Analytics included its integration of 

, collaborative features, and real-time dashboards. Weaknesses involved a steep learning curve for non-technical users and limited offline capabilities. Competitors included 

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About Mode Analytics

How to hire a Mode Analytics expert

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