Meagan Long
Denver,CO
Summary
Results-driven Data Analyst and Technical Product Developer with proven expertise in SQL, Python, and ETL pipelines. Demonstrates a strong track record of creating innovative data products, automating workflows, and delivering analytics solutions that drive business decisions in finance and energy sectors. Recognized for leading successful projects, improving data accessibility, and boosting customer satisfaction.
Overview
3
3
years of professional experience
Work History
Senior Data Analyst II & Technical Product Developer
FactSet Research Systems
09.2023 - Current
- Designed and launched 10+ oil & gas data products.
- Enhance client operations by developing refreshable Excel templates for real-time energy market analysis.
- Automated QA/QC processes for numerous datasets, cutting manual workloads and ensuring consistent accurate delivery.
- Built Python scripts and SQL stored procedures to clean, integrate, and load multi-source datasets into production pipelines.
- Partnered with clients to demonstrate products and respond to data requests increasing adoption, and customer satisfaction.
- Collaborated across engineering and product teams to streamline ETL pipelines, resolve anomalies, and reduce manual workflows.
- 2024 FactSet CEO Equity Award Winner for product innovation and excellence.
Data Analyst & Product Owner
FactSet Research Systems
07.2022 - 09.2023
- Delivered Power BI product dashboards that informed leadership decisions and tracked key business metrics.
- Managed ETL pipeline operations and QA testing, improving production stability and client-ready data accuracy.
- Oversaw projects for a team of 8 engineers, balancing resources and timelines to deliver complex data solutions.
- Facilitated cross-functional collaboration, aligning product roadmaps with organizational strategy.
Education
MS - Information Systems (Business Intelligence)
University of Colorado Denver
BS - Business Administration (Information Systems)
University of Colorado Denver
Skills
- Programming & Analytics: Python (Pandas, NumPy, matplotlib, Selenium), SQL (MSSQL, PostgreSQL, joins, CTEs, STPs)
- Data Management: Data Modeling & Schema Design, GraphQL, ETL/Data Pipelines, Dremio
- Visualization & Tools: Excel automation, Tableau, Power BI
- Cloud & Collaboration: AWS, GitHub, JIRA, Agile/Scrum
Timeline
Senior Data Analyst II & Technical Product Developer
FactSet Research Systems
09.2023 - Current
Data Analyst & Product Owner
FactSet Research Systems
07.2022 - 09.2023
MS - Information Systems (Business Intelligence)
University of Colorado Denver
BS - Business Administration (Information Systems)
University of Colorado Denver
Leadership & Community
FactSet’s CR committee - Organized and led volunteer initiatives with including events with Junior Achievement, Food Bank of the Rockies, and the Foundation for Hospital Art.