Mid-Level Analytics Engineer skilled at gathering requirements, profiling databases, developing data models and BI solutions, and delivering functional products to stakeholders.
Overview
4
4
years of professional experience
Work History
Analytics Engineer
Deloitte
08.2021 - Current
Maintained data accuracy for 100's of reports that spanned over 20 applications, including gathering requirements, conducting data profiling, creating test cases, developing data models and pushing enhancements for enterprise-wide dashboards/reports used by over 40,000 users
Streamlined data collection and analysis on a new reporting solution and ETL process by conducting data proliferation and creating foundational SQL queries for data engineer usage, hence improving data management efficiency
Developed various, BI tool, adhoc reports that range from high-level data to granular-level detail
Drafted technical documentation for internal business areas and processes, incorporating factors such as technical design, data manipulation, ETL and storage management
Tracked and leveraged data trends, aggregate statistics and volume fluctuations to hone application usage metrics
Collaborated with internal and external stakeholders to optimize data sourcing pipelines and verify data quality
Software Developer/Data Scientist
Federal Government/Department of Defense
01.2020 - 04.2021
Developed a reusable computer program which made data more accessible and usable for analysts, hence saving them several hours of manual labor
Refactored computer programs, which reduced nearly 15% of their original size and improved their execution time
Utilized MySQL and Python libraries to gather, filter, clean, manipulate, and present data in a comprehensible way to assist leadership in making impactful decisions
Designed and developed accessible, interactive GUI's, and dashboards, which allowed easier usability for clients (Section 508 Compliance)
Created technical documentation and maintenance plans for both computer programs and dashboards/reports
Worked closely alongside subject matter experts to gather requirements and provide high-quality data summaries through data validation