Holds a degree in Computer Engineering from PUCPR, with over four years of experience in a Business Operations role specializing in Oracle SQL. Subsequently transitioned to a Business Analyst position within the oil sector, where responsibilities included working with SQL Server, Power BI, MS Azure, and implementing Scrum methodology. Additionally, managed a client portfolio, ensuring efficient Order to Cash process flow through SAP SD.

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.

Data Analyst specialized in translating complex data into actionable business insights to facilitate informed decision-making. Committed to process automation and continuous improvement, with extensive experience aiding small to medium-sized organizations in developing effective business and product strategies. Proficient in managing projects from inception to completion, with a strong background in data collection and analysis.

Expertise encompasses Data Analysis, ensuring Data Quality, and utilizing tools such as PowerBI, DAX, Tableau, Google Data Studio, Google Analytics, and Google Tag Manager. Adept at managing advertising platforms like Google Ads and Facebook Ads, with a solid foundation in project planning, execution, and market research.

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.

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.

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.

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.

Management of the entire project domain is conducted by utilizing expertise to elevate the performance of teams, including developers, designers, product owners, and support staff. This is achieved through the establishment of effective processes, motivation strategies, and strategic decision-making. Additionally, performance data analysis is conducted to assess the department's efficiency, project progress, and customer satisfaction. Proficiency in multiple languages enables support for international clients.

Slemma is a cloud-based business intelligence and data visualization tool that enables users to create interactive dashboards and reports. It integrates with various data sources, allowing users to analyze and visualize data through customizable charts and graphs, facilitating better decision-making and insights.

A Slemma expert should possess skills in data analysis and visualization, proficiency in connecting and managing various data sources, and the ability to create and customize interactive dashboards. Familiarity with SQL for querying databases is beneficial, as well as a strong understanding of data modeling principles to effectively organize and present data insights within the platform.

How to hire a Slemma expert

Slemma was developed as a business intelligence tool designed to simplify data analysis and visualization for businesses. It was created to address the need for an accessible platform that allowed users to connect to multiple data sources and generate interactive reports and dashboards without extensive technical expertise. The tool aimed to empower businesses by providing insights through easy-to-use visualizations.

About Slemma

Strengths of Slemma included its user-friendly interface, ease of integration with various data sources, and the ability to create interactive visualizations without requiring advanced technical skills. Weaknesses involved limited customization options compared to more robust BI tools and potential performance issues with large datasets. Competitors included 

, which offered more advanced features and broader capabilities in the business intelligence space.

Slemma

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Business Intelligence

About Slemma

How to hire a Slemma expert

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