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.

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.

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.

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.

Professional with extensive experience in Performance, Strategy, Business Excellence, and Data across diverse sectors, including national and multinational companies, startups, and NGOs. Specialized in overseeing strategic and multifunctional projects through various stages, from data collection and processing to reporting and the creation of intelligent dashboards. Expertise includes process management and governance, PowerBI, and Digital Transformation Project Management. Proficient in SQL, T-SQL, SSIS, SSAS, Apache Spark (Databricks), IBM Cognos, Tableau, and Azure, with substantial experience in GCP cloud services, Azure, and AWS. Competent in employing Airflow and adept in both agile and traditional project management methodologies. Experienced in developing data ingestion APIs utilizing REST, SOAP, HTTP, FTP, and SFTP. Proven track record as a team leader and manager, with a notable history of executing Machine Learning projects using Python.

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.

Database professional with over seven years of experience specializing in database management and data analysis. Proficient in executing ETL processes to integrate new databases into analytical environments, devising SQL database queries, and performing environmental analyses to design robust data visualization report systems (BI). Demonstrates expertise in extracting large data volumes from clusters for report generation, facilitating client decision-making, and developing dashboards for monitoring purposes. Skilled in data modeling and adept in utilizing technologies such as PostgreSQL, BigQuery, Tableau, Power BI, Metabase, GitHub, Pentaho, Python, along with cloud platforms like GCP and AWS.

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.

Zap BI is a business intelligence software that integrates with ERP systems to provide advanced data analytics and reporting. It enables users to transform raw data into actionable insights, facilitating better decision-making through customizable dashboards, automated reporting, and data visualization tools.

A Zap BI expert must have strong skills in data analysis, proficiency in SQL, and experience with ERP systems. They should be adept at creating and customizing dashboards, generating automated reports, and utilizing data visualization tools. Knowledge of ETL processes and familiarity with the specific ERP systems integrated with Zap BI are also essential.

How to hire a Zap Bi expert

Zap BI was developed to address the need for enhanced data analytics and reporting within ERP systems. It was designed to transform raw data into actionable insights, providing users with customizable dashboards, automated reporting, and data visualization tools. The software aimed to facilitate better decision-making processes by offering advanced business intelligence capabilities.

About Zap Bi

Strengths of Zap BI included seamless ERP integration, user-friendly interface, and robust data visualization capabilities. Weaknesses involved limited customization options and occasional performance issues with large datasets. Competitors included Tableau, Power BI, and QlikView.

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About Zap Bi

How to hire a Zap Bi expert

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