Superset is an open-source data exploration and visualization platform designed to handle large-scale data. It allows users to create interactive dashboards, perform complex queries, and visualize data through various charts and graphs, facilitating informed decision-making.
About Superset
Superset was created in 2015 by Maxime Beauchemin while he was at Airbnb. It was developed to provide a powerful, user-friendly tool for data exploration and visualization, addressing the need for scalable and interactive business intelligence solutions within the company.
Superset's strengths include its open-source nature, scalability, and extensive visualization capabilities. Weaknesses include a steep learning curve and limited support compared to commercial products. Competitors include Tableau, Power BI, and Looker.
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How to hire a Superset expert
A Superset expert must have strong SQL proficiency, experience with data visualization techniques, knowledge of database management systems, and familiarity with Python for custom scripting. Additionally, expertise in web technologies like HTML, CSS, and JavaScript is beneficial for customizing dashboards.
Matheus F.
Skills
Bachelor of Information Technology from UFRN with a passion for continuous learning and a focus on data analysis. Experience includes data analysis, Power BI, Python, and SQL. Recognized for organizational skills, attention to detail, and commitment to high-quality work.
Rodrigo D.
Skills
Information Technology professional specialized in Data Analysis, currently progressing towards an MBA in Big Data and Competitive Intelligence and holding a postgraduate degree in Data Analysis. Serving as a Data Analyst with a seven-year background as a Business Intelligence (BI) Analyst, the expertise includes developing predictive, prescriptive, descriptive, and diagnostic analyses, alongside KPI indicators. Proficient in various visualization tools such as Power BI, QlikSense, MetaBase, Looker, and Tableau, dashboards and reports are effectively published to facilitate decision-making for stakeholders and the commercial team.
Yasmin H.
Skills
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.
Amanda M.
Skills
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.
Vitor F.
Skills
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.
Vinícius P.
Skills
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.
Evandro U.
Skills
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.
Matheus H.
Skills
Data scientist with over two years of experience and a degree in Aeronautical Engineering, specializing in data engineering and data science projects. Expertise includes utilizing statistical analysis and machine learning methodologies to solve complex problems, with proficiency in tools such as Python, R, Power BI, and SQL. Recent accomplishments involve developing machine learning models for industrial applications, creating ETL tools for carbon emission reporting, and designing management dashboards to improve decision-making processes. Holds multiple certifications in Data Science and relevant technologies, demonstrating a commitment to continuous professional development.
*Estimations are based on information from Glassdoor, salary.com and live Howdy data.
USA
$ 224K
Employer Cost
$ 127K
Employer Cost
$ 97K
Benefits + Taxes + Fees
Salary
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