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.

With a decade of experience dedicated to the mapping of areas and processes, this professional has demonstrated a strong commitment to driving improvements and efficiencies within organizations. Focused on achieving significant cost reductions through waste minimization, operational optimization, and the implementation of necessary cultural changes, the candidate employs insightful analysis and meticulous mapping techniques to identify improvement opportunities. Currently serving as a Data Analyst at a virtual assistant firm, expertise includes the construction and maintenance of customized dashboards, KPI development, and leadership in Business Intelligence, all aimed at enhancing decision-making processes. Educational qualifications include a postgraduate degree in Big Data Management and Business Analytics, complementing a foundation in Systems Analysis and Development.

Data analyst with over one year of professional experience in data analysis, demonstrating robust numerical and logical reasoning capabilities alongside a strong interest in programming and data manipulation. Primarily specializing in Power BI, the candidate has successfully led projects across diverse sectors, including retail, technology, and financial institutions. Proficient in data manipulation using Excel and SQL, the analyst is also acquainted with other Business Intelligence tools such as Tableau. Focused on leveraging data analysis and business intelligence to facilitate data-driven decision-making and support companies in achieving their strategic objectives.

Data Analyst and Data Scientist with a focus on analytical, strategic, adaptive, and innovative approaches. Extensive experience encompasses data manipulation and analysis, data visualization, indicator management, and A/B testing. Dedicated to the fields of Data Science, Analytics, and Business Intelligence. Academic credentials include a technical degree in Electronics from Escola Técnica Pandiá Calógeras, a degree in Mechanical Engineering from Universidade Federal Fluminense, and postgraduate qualifications in Analytics and Business Intelligence from Pontifícia Universidade Católica de Minas Gerais. Additional training in Data Science and Machine Learning has been undertaken through Tera. Demonstrates proficiency in SQL, PySpark, Databricks, Power BI, Tableau, and Excel, alongside advanced English language skills.

A seasoned Data Visualization specialist with expertise beginning in 2013, demonstrating a solid foundation through the early use of Excel. In 2017, the focus expanded to the realm of Business Intelligence, encompassing advanced skills in Tableau and Power BI. Known for a problem-solving mindset and a determination to traverse tool limitations or data complexities, ensuring information is rendered visually and accessibly. The core passion lies in transforming raw data into comprehensible insights, enabling informed decision-making for all stakeholders.

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.

Emiliano has over ten years of experience as a Data Analyst across diverse industries, including finance, telecommunications, and gaming.

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.

Datawatch is a data intelligence platform that specializes in data preparation and visualization. It enables users to access, manipulate, and visualize data from various sources, transforming it into actionable insights for better decision-making. The platform offers tools for extracting data from complex reports and databases, cleaning and preparing data sets, and creating interactive visualizations to facilitate business analysis.

A Datawatch expert must possess skills in data preparation and transformation, familiarity with data visualization techniques, and proficiency in handling various data sources. They should also have experience with report extraction, data cleaning processes, and a strong understanding of business intelligence concepts to effectively utilize the platform's capabilities.

How to hire a Datawatch expert

Datawatch was developed as a data intelligence solution aimed at improving data accessibility and analysis. It gained prominence for its ability to transform complex data into usable insights through advanced data preparation and visualization tools. The platform evolved to meet the growing demand for efficient data management and analytics, eventually becoming a key player in the business intelligence landscape. Datawatch was originally created to address challenges in handling large volumes of data, enabling organizations to make informed decisions based on comprehensive data analysis.

About Datawatch

Strengths of Datawatch included its robust data preparation capabilities, ease of use, and ability to handle complex data sources. Weaknesses involved limited advanced analytics features and potential integration challenges with other systems. Competitors included 

, which offered similar data visualization and analytics solutions.

Datawatch

Top 5*

Business Intelligence

About Datawatch

How to hire a Datawatch expert

The Best of the Best Optimized for Your Budget