Data Analyst with over 15 years of experience in data engineering, demonstrating comprehensive skills in ETL and ELT tools, and various programming languages. Expertise encompasses databases such as Oracle, MySQL, Microsoft SQL Server, PostgreSQL, Firebird, CosmosDB, MongoDB, and Amazon Redshift. Proficient in ETL tools, including DataStage, Pentaho Data Integration, and Databricks, and adept with analysis tools like BIEE and Power BI. Skilled in cloud environments such as Microsoft Azure, AWS, and Oracle Cloud, with programming capabilities in Java, C#, PHP, Python, and R. Management capabilities are supported by ISO 9001:2000 certification.

A communicative individual with a strong interest in diverse viewpoints and opinions, known for facilitating cross-departmental interactions and fostering respectful connections. Exhibits a keen ability to embrace challenges and pursue continual self-reinvention, demonstrating a commitment to learning and stepping outside the comfort zone. Possesses a passion for exact sciences, numbers, and technology, with a proven capacity for swiftly mastering new technologies, systems, and software. Recently concentrated on advancing personal development and technical expertise to enhance professional contributions.

A postgraduate in Data Science and a Computer Engineering graduate, with substantial experience in the field, having contributed to both national and multinational companies within diverse sectors, including manufacturing, services, and the third sector. Specializes in data extraction, consolidation, processing, and ETL (Extract, Transform, Load), with a strong emphasis on fraud investigations and the identification of discrepancies and anomalies in collected data. Expertise in developing intuitive and insightful dashboards to enhance decision-making processes related to analyzed problems, supporting fraud resolution and compliance. Demonstrates proficiency in planning activities aimed at understanding departmental needs, proposing effective solutions, and developing ETLs on various data platforms while ensuring adherence to process compliance. Possesses strong skills in SQL, Tableau, Python, Power BI, SAP, Alteryx, and Oracle, and is well-versed in ITIL and Agile methodologies. Background includes drafting managerial reports, monitoring performance indicators, and providing strategic decision-making support. A team-oriented professional dedicated to achieving results, cost reduction, and is highly organized, responsible, and adaptable.

Data Analyst specializing in business intelligence, currently engaged in a degree program in Data Science with a focus on Machine Learning and Deep Learning, aimed at leveraging data for strategic decision-making and business performance enhancement. Key competencies encompass proficiency in English at a B1 level with a comprehensive understanding of technical terminology, as well as extensive experience in utilizing Power BI for creating visually compelling and insightful data presentations. Expertise in Excel includes leveraging advanced features for efficient data analysis and reporting. Proficient in Python along with essential libraries pertinent to data science and machine learning, facilitating the development of customized, advanced analysis solutions. Exhibits strong analytical thinking and problem-solving skills, capable of extracting significant insights from complex datasets. Committed to continuous professional development and staying current with the latest advances in data analysis and machine learning.

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 data and technology enthusiast skilled in various tools essential for data tasks, including Python, SQL, Apache Spark, Pentaho, AWS, Google Cloud, R, Excel, Tableau, and Power BI. With a solid foundation in data cleaning, analysis, and visualization, this individual demonstrates strong analytical abilities and excels in collaborative environments. Fluent in English, with three years of professional use, they possess advanced expertise in customer segmentation, digital strategy development, and business intelligence, particularly in designing campaigns via Google and Meta ads. They are currently pursuing a degree in Data Science at Centro Universitário Unipê and have obtained certifications in Data Analytics and Business Intelligence from Google.

An experienced Analyst and Developer specializing in the design and implementation of workflows for efficient data collection and management.

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.

Dimensional Insight is a business intelligence and data analytics company that provides software solutions to help organizations transform their data into actionable insights. Its platform includes tools for data integration, visualization, and reporting, enabling users to make informed decisions based on comprehensive data analysis.

A Dimensional Insight expert must have skills in data integration, SQL, and database management. Proficiency in using Dimensional Insight's Diver Platform for creating reports and dashboards is essential. Knowledge of ETL processes and experience with data visualization tools are also important.

How to hire a Dimensional Insight expert

Dimensional Insight was founded in 1989 to address the growing need for effective business intelligence solutions. The company developed software to help organizations integrate, visualize, and analyze their data, enabling better decision-making processes. Over the years, it expanded its product offerings and client base, becoming a recognized name in the BI industry.

About Dimensional Insight

Strengths of Dimensional Insight include robust data integration capabilities, comprehensive analytics tools, and strong customer support. Weaknesses may involve a steeper learning curve for new users and less brand recognition compared to larger BI providers. Competitors include 

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About Dimensional Insight

How to hire a Dimensional Insight expert

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