Arthur W.
Data Analyst

Skills

Microsoft Sql Server

Tableau

Python

Arthur is available for hire

Meet Arthur W.

All Howdy Candidates are vetted for skills and english proficiency.

Bio

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.

Business Intelligence Consultant
8/1/2022 - 5/1/2023

Developed and implemented data analysis solutions, focusing on corrective maintenance and the creation of new functionalities using Microsoft Business Intelligence technologies. Proficiency gained in Power BI for data visualization and reporting, SQL for database querying, and Azure Data Factory for orchestrating data workflows. Utilized SQL Server Analysis Services (SSAS) for multidimensional data modeling, and SQL Server Integration Services (SSIS) for data integration and transformation. Demonstrated adeptness with M language for data mashup and transformation in Power Query, and mastered DAX (Data Analysis Expressions) to create complex calculations and aggregations.
Business Intelligence Consultant
8/1/2022 - 2/1/2023

Led the management and implementation of business intelligence solutions, leveraging tools such as Cortex Platform, Tableau, and Power BI, while operating in a cloud environment. Demonstrated expertise in translating client requirements into efficient BI solutions, ensuring robust data visualization and insightful analytics for strategic decision-making.
Data Analyst
4/1/2018 - 7/1/2022

Assumed the role of a BI consultant, undertaking the creation of the company's inaugural database. Managed projects efficiently while developing dashboards and conducting thorough analysis of the company's primary indicators. Gained extensive experience with Microsoft BI tools including SQL Server, Power BI, SSIS, and SSAS. Utilized Talend for data integration and transformation. Leveraged Python for advanced data analysis and automation tasks. Employed AWS for scalable cloud computing solutions, ensuring robust and efficient data management.