With a decade of experience dedicated to the mapping of areas and processes, this professional has demonstrated a strong commitment to driving improvements and efficiencies within organizations. Focused on achieving significant cost reductions through waste minimization, operational optimization, and the implementation of necessary cultural changes, the candidate employs insightful analysis and meticulous mapping techniques to identify improvement opportunities. Currently serving as a Data Analyst at a virtual assistant firm, expertise includes the construction and maintenance of customized dashboards, KPI development, and leadership in Business Intelligence, all aimed at enhancing decision-making processes. Educational qualifications include a postgraduate degree in Big Data Management and Business Analytics, complementing a foundation in Systems Analysis and Development.

A seasoned professional with two decades of expertise in comprehensive Business Intelligence (BI) projects, encompassing all phases from Data Management and Data Warehousing to the delivery of final dashboards. Proficiencies include data gathering, dimensional modeling, ETL processes, and dashboard creation. Additionally, the individual has served in an architectural role, offering team support and contributing innovative ideas and solutions.

Data Analyst and Data Scientist with a focus on analytical, strategic, adaptive, and innovative approaches. Extensive experience encompasses data manipulation and analysis, data visualization, indicator management, and A/B testing. Dedicated to the fields of Data Science, Analytics, and Business Intelligence. Academic credentials include a technical degree in Electronics from Escola Técnica Pandiá Calógeras, a degree in Mechanical Engineering from Universidade Federal Fluminense, and postgraduate qualifications in Analytics and Business Intelligence from Pontifícia Universidade Católica de Minas Gerais. Additional training in Data Science and Machine Learning has been undertaken through Tera. Demonstrates proficiency in SQL, PySpark, Databricks, Power BI, Tableau, and Excel, alongside advanced English language skills.

A seasoned Data Engineer/Architect with 15 years of IT experience, including a decade in Business Intelligence (BI), Data Analytics, and Data Engineering. Educational background includes a degree in Information Systems from Anhembi Morumbi University and a postgraduate degree in Big Data (Data Science) from FIAP. Currently positioned as a Senior Data Engineer/Specialist, responsible for leading technical project aspects focused on Data & Analytics, Data Migration, Data Governance, and BI. Committed to delivering efficient, scalable, and reusable solutions adhering to industry best practices, facilitating companies in achieving goals and deriving insights through reliable data analysis, key performance indicators, and business-aligned metrics.

Proficiency encompasses over ten years in Data Analytics and ETL processes, comprehensive expertise in relational databases, and eight years with BI tools. Possesses over four years of experience in data engineering and cloud data platforms, with advanced capabilities in Spark and Python, and significant experience in non-relational databases, CI/CD tools, and IaaS platforms. Well-versed in AWS and Azure services for Big Data and Data Analytics.

Technological expertise covers a broad range of tools and platforms, including Alteryx, SSIS, SQL Server, Oracle, Hadoop, Spark (Python), Apache NiFi, Kafka, Airflow, and Microsoft Azure services like Data Lake Storage, Functions, and Synapse Analytics. Competent in AWS services including Athena, DynamoDB, EC2, EMR, Glue, IAM, Kinesis, Lambda, RDS, Redshift, SDLF, SQS, S3, and VPC. Proficient with BI tools such as QlikView, PowerBI, and Tableau, and IaaS solutions like Terraform. Experienced with CI/CD systems including GitHub and Azure DevOps. Dedicated to aiding organizations in improved data governance and fostering a culture that drives innovation through informed decision-making processes, ensuring secure storage and transportation of information.

A Bachelor in Law currently pursuing undergraduate studies in Cloud Computing and an MBA in Business, with five years of professional experience in Power BI, SQL, Azure, and AWS. Expertise encompasses data collection and analysis, with a strong focus on business management and project management.

Data Analysis Specialist with expertise in collaborative team environments and a background in documentation development and prototyping. Possesses proficiency in a variety of data analysis tools, such as Tableau, Qlik Sense, Qlik View, Google Analytics (GA3 and GA4), Google Tag Manager, Big Query, and Looker Studio. Demonstrates a strong understanding of Firebase, MySQL, PostgreSQL, and Android Studio.

Data analyst with over one year of professional experience in data analysis, demonstrating robust numerical and logical reasoning capabilities alongside a strong interest in programming and data manipulation. Primarily specializing in Power BI, the candidate has successfully led projects across diverse sectors, including retail, technology, and financial institutions. Proficient in data manipulation using Excel and SQL, the analyst is also acquainted with other Business Intelligence tools such as Tableau. Focused on leveraging data analysis and business intelligence to facilitate data-driven decision-making and support companies in achieving their strategic objectives.

An engineering graduate with expertise in data analysis, demonstrating a strong proficiency in Python, SQL, and Power BI. Experienced in ETL coding and the utilization of Streamlit through various projects, the individual emphasizes business problem-solving. Driven by curiosity and a constant pursuit of challenges, the focus remains on professional and project development.

IBM Cognos Analytics is a business intelligence platform that offers data visualization, reporting, and analytics capabilities. It allows users to create interactive dashboards, generate detailed reports, and perform data analysis to gain insights and make informed business decisions.

An IBM Cognos Analytics expert must have skills in data modeling, SQL, and report building. Proficiency in creating dashboards, understanding of data warehousing concepts, and experience with Framework Manager are also essential. Knowledge of scripting languages like JavaScript for customizations is beneficial.

How to hire a Ibm Cognos Analytics expert

IBM Cognos Analytics was originally developed by Cognos Incorporated, a Canadian company founded in 1969. IBM acquired Cognos in 2008 to expand its business analytics offerings. The platform was designed to help organizations make better decisions by providing tools for data visualization, reporting, and analytics.

About Ibm Cognos Analytics

Strengths of IBM Cognos Analytics include robust reporting capabilities, strong data governance, and integration with other IBM products. Weaknesses involve a steep learning curve and higher costs compared to some competitors. Key competitors are 

Ibm Cognos Analytics

Top 5*

Business Intelligence

About Ibm Cognos Analytics

How to hire a Ibm Cognos Analytics expert

The Best of the Best Optimized for Your Budget