Dimensional Insight

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.

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.

Graduated in Systems Analysis and Development from UNICARIOCA in 2021 and currently pursuing a post-graduate degree in Big Data. Experienced FullStack Developer specialized in NodeJs, with expertise in HTML5, CSS3, JavaScript, ReactJs, NodeJs, Git/Github, Sequelize, and MySQL, acquired through advanced training. Possesses two years of experience as a data analyst and one year as a Business Intelligence (BI) consultant. Proficiencies include PL/SQL, Power BI, Power Query, Tableau, Tableau Server and Tableau Prep Builder, DAX language, and ETL processes.

A data professional with over five years of experience, specializing in the development of effective solutions to business challenges. Exhibiting a strong background in problem-solving and communications, adept at extracting insights from large datasets and translating them into comprehensible information for diverse audiences. Proficiencies include SQL, Excel, BigQuery, and data visualization tools such as Looker Studio and Metabase. Currently engaged in the field of fraud prevention.

A finance management graduate with a postgraduate degree in Applied Statistics, currently pursuing an MBA in Data Science and Analytics, possesses over a decade of expertise in data analysis and business intelligence. The career trajectory includes leadership roles that focus on improving operational efficiency through financial analysis of projects and budget development. Proficient in advanced statistical techniques, including multivariate analysis and machine learning methods such as Random Forest, Logistic/Linear Regression, NLP, and PCA. Recognized for significant contributions using analytical tools like Tableau, Power BI, and Python, while holding multiple professional certifications, including Project Management Professional and Lean Six Sigma Black Belt. Demonstrates a strong capacity for utilizing data-driven insights to enhance decision-making processes and foster continuous improvement across various organizational levels.

A dual citizen of Portugal and Brazil, possessing six years of professional experience as a computer engineer in the domain of business intelligence. Expertise includes the development of business intelligence solutions, dashboard creation, data manipulation, and system integrations, with a keen analytical approach and a passion for data.

Academic credentials include a Bachelor's degree in Computer Engineering from Metodista University São Paulo (2018) and a Postgraduate degree in Data Science with a focus on Big Data Analytics from Mackenzie University São Paulo (2020). Professional certifications encompass Tableau Specialist (ID 999441) and Google Analytics (ID 53844274). Proficient in Power BI, Tableau, and Google Data Studio, with a working knowledge of QlikView, QlikSense, and SpotFire. Achieved multiple Business Intelligence badges from Tableau, namely Tableau Analyst, Developer, Author, Consumer, Data Scientist, Designer, and Executive Sponsor.

Proficient in advanced English, with ongoing coursework to further language skills. General competencies cover system engineering, documentation, electronic devices, computer networks, software architecture, and calculus. Extensive experience with ERP systems, data-driven decision-making, programming logic, MIS, UML, business intelligence requirements gathering, data mining, statistical analysis, data strategy, data collection, big data processing, and a range of analytical tools, including Microsoft Excel, Tableau Desktop, Google Data Studio, Qlik, Tableau Prep, Talend, Pentaho Data Integration, Looker, Power Query, and Tableau Public.

Database expertise includes MySQL, Oracle 11g/12g, SQL Server 2008/2016, HP Vertica, Amazon Redshift (AWS), Amazon Athena, Hadoop, Azure, and Databricks.

A seasoned professional with over a decade of expertise in Procurement, Supply Chain, Purchasing, and Logistics, specializing in problem-solving and data analysis, this candidate demonstrates significant proficiency in areas such as Materials Planning and Inventory Management. With a robust skill set in Purchasing processes, Supplier Assessment, and KPI reporting, the individual has successfully implemented key projects that enhanced operational efficiency, including the restructuring of reporting protocols for federal compliance and the establishment of a Transportation Control Tower project aimed at cost reduction. The candidate possesses advanced knowledge of relevant software tools including SAP ECC MM and SD, Power BI, and SQL, bolstered by a solid educational background in Logistics and Port Management. Expertise in Lean and Six Sigma methodologies further underscores a commitment to continuous improvement and optimal resource utilization.

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.