Finereport is a business intelligence and reporting software designed to facilitate data visualization, analysis, and reporting. It enables users to create interactive dashboards, generate detailed reports, and analyze real-time data from multiple sources to support informed decision-making.
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About Finereport
Finereport was created in 2006 by FanRuan Software. It was developed to address the need for more efficient data reporting and visualization tools in business environments, aiming to streamline the process of data analysis and enhance decision-making capabilities.
Strengths of Finereport include its user-friendly interface, robust data integration capabilities, and comprehensive reporting features. Weaknesses involve limited customization options and potential performance issues with large datasets. Competitors include Tableau, Power BI, and QlikView.
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How to hire a Finereport expert
A Finereport expert must have strong skills in SQL for database querying, proficiency in JavaScript for customizing reports, and experience with data visualization techniques. They should also be adept at using Excel for data manipulation and have a solid understanding of various database management systems.

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.

Gabriel M.
Skills
A Data Engineer with four years of experience in Engineering and Data Analysis, specializing in converting data into actionable insights across various business domains such as Sales, Finance, Marketing, Customer Success, Governance, and Product. Expertise spans the entire data lifecycle, including extraction, preparation, analysis, and providing recommendations to inform business decisions.
Proficient in designing data pipelines utilizing Python (PySpark) and SQL on Databricks for data ingestion and transformation, along with implementing Big Data solutions on Delta Lake, Data Lake, and Data Warehouse on Azure and AWS cloud platforms. Experienced in developing ETL pipeline routines using Data Factory, custom Python scripts, AWS Lambda, and Airflow, and adept at integrating data from multiple sources like APIs, relational databases (PostgresSQL, MySQL, Oracle, SQL Server, MariaDB, Cassandra), and storage solutions (Azure Data Lake Gen 2, S3). Additionally, proficient in handling various file formats such as Parquet, Delta, CSV, Excel, and JSON.
Demonstrated capability in data analysis, crafting queries in PySpark and SQL to generate reports and dashboards using tools like PowerBI, Tableau, Metabase, and Streamlit. Well-versed in data contracts and versioning scripts within DevOps CI/CD pipelines, and experienced in agile Scrum methodologies within collaborative squad environments.
Other technical proficiencies include Git, Docker, with foundational knowledge of Kubernetes (K8), Terraform, and Jenkins.

Izadora M.
Skills
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.

Arthur E.
Skills
A technologist in Managerial Processes from UNIP, with over seven years of experience as a Business Intelligence and Marketing Analyst. Demonstrates a rapid learning capability and a continuous pursuit of new knowledge. Characterized by communicative and participatory leadership skills, combined with spontaneity and motivation in professional duties. Known for dynamism, proactivity, and the ability to foster team harmony while upholding high service quality standards. Proficient in various stages of BI project management, including analysis and development, which enhances the agility and reliability of information delivery to strategic areas. Exhibits a strong capacity for understanding, structuring, and planning demands. Also, provides support through training and disseminating knowledge on processes, routines, and tools.

Rogerio B.
Skills
With nine years of experience in data science and four years serving as Head of Data Science, this professional excels in leveraging artificial intelligence, advanced machine learning, and deep learning to tackle complex business challenges. Demonstrated expertise in programming languages such as Python, R, and SQL, coupled with proficiency in data visualization tools like Tableau, Power BI, and Data Studio, empowers the ability to transform raw data into actionable insights. Notable achievements include the development of a predictive credit scoring model and leading data initiatives that enhance strategic decision-making, optimize performance, and drive measurable business outcomes.

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.

André L.
Skills
Computer Engineering student with an incomplete course of study at the Federal Technological University of Paraná (UTFPR) and currently enrolled in the 5th period of an Information Systems degree at the same institution. Coursework has been augmented by additional studies in PowerBI, React, and Python through online platforms. Also possesses knowledge of the C programming language.

Ashraf N.
Skills
Data Specialist with expertise in extracting valuable insights from complex datasets and transforming this data into dashboards to assist in strategic decision-making. Responsibilities include contributing to the development of new products, setting operational goals, and enhancing production efficiency. Additionally, duties involve conducting studies on projections and market competitiveness.
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