Google Looker is a business intelligence and data analytics platform that enables organizations to explore, analyze, and visualize their data. It provides tools for creating interactive dashboards, reports, and data models, allowing users to make data-driven decisions.

About Google Looker
Google Looker was created in 2012 by Lloyd Tabb and Ben Porterfield. It was designed to help organizations analyze and visualize their data more effectively. The platform gained popularity for its user-friendly interface and robust data modeling capabilities. Google acquired Looker in 2019 to enhance its cloud-based analytics offerings.
Strengths of Google Looker include its powerful data modeling capabilities, user-friendly interface, and seamless integration with Google Cloud. Weaknesses involve a steep learning curve for new users and potentially high costs for smaller organizations. Competitors include Tableau, Power BI, and Qlik Sense.
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How to hire a Google Looker expert
A Google Looker expert must have strong skills in SQL for data querying, proficiency in LookML for data modeling, and experience with data visualization techniques. Knowledge of integrating Looker with various databases and familiarity with Google Cloud Platform services are also essential.

Felipe R.
Skills
An experienced Data Analyst with a five-year background specializes in relational database management, data visualization, and data science. Proficiencies include SQL Server, PostgreSQL, Excel, Power BI, and Python. Skilled in multiple programming languages such as Python, Java, C, and C++, with a keen interest in interdisciplinary projects focused on operational efficiency and process automation.

Carlos E.
Skills
With 14 years of expertise in Business Intelligence and Analytics and an additional 19 years in Information Technology, I specialize in the development and deployment of Data Warehouses, ETL processes, data analysis, and the creation of comprehensive reports and dashboards. My professional career is marked by a commitment to transforming complex data into actionable insights, thereby supporting strategic decision-making and enhancing organizational performance. Significant contributions have been made to various projects through the application of technical skills and extensive knowledge of BI tools.
Continual professional development is a priority, staying abreast of advancements in BI and Analytics technologies and methodologies. This dedication ensures the delivery of innovative, efficient solutions tailored to the evolving needs of the business environment.
Technical proficiencies include:
In Business Intelligence, expertise spans tools like MicroStrategy, Tableau, OBIEE, Oracle Retail Merchandise Analytics (ORMA), Oracle Retail Data Warehouse (ORDW), and Microsoft Analysis Services (Cubes). In Extract, Transform, and Load (ETL), skills encompass Oracle Data Integrator (ODI) and SQL Server Integration Services (SSIS). Proficiency in databases includes working knowledge of Snowflake, Oracle, MySQL, Microsoft SQL Server, and PostgreSQL.

Jehzeel A.
Skills
Jehzeel brings seven years of experience in data analysis. She is proficient in SQL, Python, Tableau, Looker, PowerBI, and many others.

Lucia N.
Skills
Lucia is an Industrial engineer with a special interest in operations and data analysis. Lucia led several teams at different production sites, and has over 10 years of experience in Supply Chain & Ops roles.

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.

Nathan B.
Skills
An experienced professional in business analysis and renewable energy projects excels at leading multifunctional teams and implementing data-driven solutions. Specializing in agile methodologies, project management, and advanced analysis, notable proficiencies include effective team leadership and timely project delivery through the utilization of Agile and Scrum methodologies. The professional demonstrates expertise in data analysis, machine learning, and deep learning algorithms using platforms such as TensorFlow and PyTorch, as well as advanced data modeling, processing, and visualization techniques. Additionally, adeptness in data visualization is showcased through the proficient use of tools like Microsoft Power BI, Tableau, and Streamlit to effectively communicate insights. Skills in cloud computing encompass a broad knowledge of AWS, Azure, Google Cloud, and IBM Watson, which are employed to develop scalable and secure solutions. Fluency in both English and Portuguese is also noted.

Renan S.
Skills
A seasoned Data Analyst with five years of diverse experience, including two years concentrated in data analytics and engineering. Proficient in leading high-scale projects such as data migrations and the implementation of KPIs across multiple countries with varied business requirements, honing excellent project management capabilities. Expertise in Python and SQL as primary tools, with extensive use of Office applications throughout professional endeavors. Seeking to advance in data analytics by further integrating project management, business intelligence, and technical data analysis.

Anderson L.
Skills
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.
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$ 97K
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