Data Analyst - (Remote)Only USC/GC/L2EAD/H4EAD

Company Description Verex Engineering LLC is a multi-cloud solutions and engineering firm with strong expertise in healthcare and advanced technologies. The company helps organizations manage applications, data, and security across leading cloud platforms such as AWS, Azure, and GCP in an integrated way. By focusing on end-to-end multi-cloud engineering services, Verex Engineering LLC supports the full lifecycle of cloud projects, including consultation, deployment, migration, and ongoing management. The team emphasizes efficiency, security, compliance, and business value, enabling clients to work faster, smarter, and stay ahead of emerging technology trends.Role Description The Data Analyst will work full time on-site in New York, NY, supporting data-driven decision making across projects and business functions. Day-to-day responsibilities include collecting, cleaning, and validating data from multiple sources, performing quantitative and qualitative analyses, and developing dashboards and reports for stakeholders. The role involves building and maintaining data models, interpreting statistical results, and presenting insights in a clear and actionable format. The Data Analyst will collaborate with engineering, operations, and leadership teams to identify trends, optimize processes, and support multi-cloud and healthcare-related initiatives. This position is open only to candidates authorized to work in the United States as USC, GC, L2EAD, or H4EAD.Qualifications Strong Analytical Skills and experience in Data Analytics to interpret complex datasets and support business decisions.Knowledge of Statistics and statistical methods to perform data validation, hypothesis testing, and trend analysis.Experience in Data Modeling and working with relational databases or data warehouses.Effective Communication skills to present findings to technical and non-technical stakeholders.Proficiency with data tools such as SQL, Excel, and at least one analytics or BI platform (e.g., Power BI, Tableau, Looker).Familiarity with programming or scripting languages for data analysis (e.g., Python, R) is preferred.Understanding of cloud environments (AWS, Azure, GCP) and data integration concepts is a plus.Bachelor’s degree in Data Science, Statistics, Computer Science, Engineering, or a related field, or equivalent practical experience.Ability to work collaboratively in a team setting and manage multiple priorities in a fast-paced environment.