Jose Alicea

Jose Alicea

Lead Data Engineer @ QuEST Global

About Jose Alicea

Jose Alicea is the Lead Data Engineer at Quest Global, with extensive experience in data analysis and consulting roles.

Title

Jose Alicea currently holds the position of Lead Data Engineer at Quest Global. His role involves overseeing data engineering projects, ensuring data integrity, and developing data strategies.

Previous Experience at Battea Class Action Services

Jose Alicea worked as a Senior Data Analyst at Battea Class Action Services for three months in 2021. During his tenure, he was responsible for analyzing data to support class action services, contributing to the company's data-driven decision-making processes.

Previous Experience at CareCentrix

From 2015 to 2021, Jose Alicea served as a Senior Data Analyst at CareCentrix in Hartford, Connecticut. Over his six-year period, he contributed to data analysis projects, providing critical insights to support healthcare services and business initiatives.

Consultant Role at OpenSky Corp

Between 2014 and 2015, Jose Alicea worked as a Consultant at OpenSky Corp in East Hartford, Connecticut. In this role, he focused on delivering data management and analysis services to various clients, enhancing their business operations through effective data utilization.

Educational Background

Jose Alicea studied Accounting and Computer Science at Emory College from 1993 to 1996. His academic background laid the foundation for his expertise in data engineering and analysis.

Expertise in Data Analysis and Dashboard Development

Jose Alicea has significant expertise in creating visually impactful dashboards using Excel and Tableau. He has developed dashboards for data reporting, leveraging pivot tables and VLOOKUP functions to present key metrics and actionable information.

Skills in Data Modeling and Analysis

Jose Alicea specializes in extracting, interpreting, and analyzing structured and unstructured data. He has contributed to major business initiatives by transforming raw data into meaningful, actionable insights through data mining and modeling techniques.

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