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.

A Mechanical Engineer with a degree from UFPR, this professional has transitioned from industrial production roles to a specialized focus on consultative technical sales. Leveraging strong communication and persuasive skills, experience was gained in various sales positions, including a Sales Excellence Analyst role, where proficiency in data analysis supported strategic decision-making. This individual possesses expertise in creating and maintaining analytical dashboards using Power BI and Excel, along with data extraction and storage in SQL databases. An analytical mindset drives a commitment to enhancing sales performance and generating qualitative insights that contribute to business success.

Graduate in Business Administration and Systems Analysis with seven years of experience in data generation and information provision, currently serving as a data specialist within the MIS team. Pursuing an MBA in Big Data, the professional has substantial expertise in SQL Transact using both Oracle and SQL Server. Proficient in developing ETLs with SSIS and Pentaho, and experienced in Data Visualization using PowerBI and Tableau. Additionally, possesses some familiarity with Alteryx, SAS, PowerCenter, Qlikview, and SPSS Modeler.

Data Analyst with a degree in Data Analysis, currently pursuing an MBA focused on Big Data. Professional experience since 2018 encompasses system migration, master data management, data management, and logistics and business metrics.

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 Analyst endowed with a sharp focus on deriving valuable insights and addressing business challenges to augment organizational value. Possesses expertise in leveraging Excel and Google Sheets to increase efficiency in statistical analysis. Demonstrates proficiency in SQL, Python, and R for gathering and structuring extensive datasets, coupled with adeptness in employing Tableau, Power BI, and Looker Studio for effective data visualization.

Data Analyst with two years of experience specializing in data cleaning, dashboard construction, and operational results analysis for delivery personnel. Currently enhancing skills in data analysis using Python through advanced coursework. Practical training includes ongoing courses in data analytics. Demonstrates proficiency in SQL and Tableau for daily data analytics tasks. Resides in Osasco - SP with one child.

Nicolas is a Data Analyst with five years of experience. He excels in constructing data pipelines using Databricks Lakehouse and is proficient in SQL, Python, Power BI, Snowflake, Looker, and Tableau.

Apache Superset is an open-source data exploration and visualization platform that allows users to create interactive dashboards and reports from a variety of data sources. It provides tools for querying, visualizing, and sharing data insights in a web-based interface, enabling better decision-making through accessible and comprehensive data analysis.

An Apache Superset expert must have strong skills in SQL for querying data, proficiency in Python for custom integrations and scripting, experience with JavaScript and React for front-end customization, and a solid understanding of various database systems such as PostgreSQL, MySQL, and Druid. Familiarity with data visualization principles and dashboard design is also essential.

How to hire a Apache Superset expert

Apache Superset was created in 2015 by Maxime Beauchemin at Airbnb. It was developed to provide a modern, open-source alternative for data exploration and visualization, addressing the need for a more user-friendly and scalable solution compared to existing tools. The project gained traction quickly and became part of the Apache Incubator in 2017, eventually graduating as a top-level Apache project.

About Apache Superset

 include its open-source nature, extensive visualization capabilities, and integration with a wide range of data sources. Weaknesses involve its steep learning curve for new users and potential performance issues with very large datasets. Competitors include 

Apache Superset

Top 5*

Business Intelligence

About Apache Superset

How to hire a Apache Superset expert

The Best of the Best Optimized for Your Budget