Domo is a cloud-based business intelligence platform that integrates data from various sources, providing real-time analytics and visualization tools to help organizations make data-driven decisions. It enables users to create interactive dashboards, automate reporting, and collaborate on insights across the enterprise.

About Domo
Domo was created in 2010 by Josh James, who previously co-founded Omniture. It was developed to address the need for a more user-friendly and comprehensive business intelligence platform that could integrate data from various sources and provide real-time analytics. The goal was to empower organizations with better data visibility and decision-making capabilities.
Strengths of Domo include its user-friendly interface, real-time data integration, and robust visualization tools. Weaknesses involve high costs and potential complexity in implementation for smaller businesses. Competitors include Tableau, Power BI, and Qlik.
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How to hire a Domo expert
A Domo expert must have skills in data integration, SQL, ETL processes, and dashboard creation. Proficiency in scripting languages like Python or R and experience with APIs for data connectivity are also essential.

Thais L.
Skills
A Data Analyst specializing in data collection, organization, and analysis using advanced tools such as Excel, SQL, Pentaho, and Power BI. Possesses a keen ability to identify relevant trends and patterns in data, consistently applying a proactive approach to problem-solving to meet business needs. Demonstrates a strong commitment to collaboration with multidisciplinary teams to discover innovative ideas and deliver valuable insights. Dedicated to continuous improvement by learning from experienced colleagues and staying abreast of new technologies to enhance skills and knowledge.

José E.
Skills
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.

Nicolas M.
Skills
Nicolas has worked for ten years as a systems engineer in server administration, SRE, and DevOps roles. The last few years have given him the opportunity to work with sophisticated cloud infrastructure, including automation and security.

Liandra V.
Skills
Specialist in BI/Analytics projects with extensive experience in SQL across various platforms, including SQL Server, PostgreSQL, BigQuery, and MySQL. Proficient in Power BI, utilizing M for data modeling and DAX for advanced function creation. Certified as a Tableau Business Intelligence Analyst, with expertise in Tableau Desktop and Looker Data Studio. Currently focusing on Software Engineering, with a particular interest in data visualization using D3.js.

Felipe L.
Skills
Data Analyst with extensive expertise in managing and leveraging substantial business data volumes. Proficient in data analysis and adept at programming in Python and SQL. Skilled in employing essential data visualization techniques and tools critical for enhancing an organization's business intelligence.

Mateus T.
Skills
This candidate is a seasoned professional specializing in cloud computing, microservices, and serverless architectures, with a strong proficiency in AWS technologies such as Lambdas, API Gateway, and AppSync. Demonstrated expertise includes leading the development of sophisticated systems like Evocities, an intelligent city management platform, and Evoview, a machine learning-based video analysis tool. Equipped with advanced knowledge in machine learning, this individual excels at integrating artificial intelligence into diverse projects, enhancing functionality and performance.

Luiz V.
Skills
A Data Analyst driven by a passion for data and statistics, consistently seeking to embrace new challenges and innovative solutions. Demonstrates robust competencies in teamwork, excellence, structured thinking, and career development. Exhibits a collaborative work ethic, coupled with adept decision-making and problem-solving capabilities. Possesses strong planning and organizational skills, along with a continuous pursuit of innovation.

Omar G.
Skills
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.
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USA
$ 224K
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$ 127K
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$ 97K
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