Principal Analyst I | Global Data Analytics
CurrentPrincipal Data AnalystTools & Technologies:SQL, Google Scripts, YAML, LookML, Python, Snowflake, Visual Studio Code, Gitlab, Looker, Google Studios, Coefficient, Zapier, Sheetgo, Jira, Confluence, Azure DevOps, Fivetran, Ops Genie, DBT, Docker, Data Vault, Dagster, Amazon S3, Reverse ETLs, Linting Tools, Jinja, JavaScript.Responsibilities:* Designed data warehouse architecture from Raw Vault to Information Marts using Data Vault methodology.* Developed and managed data pipelines with Dagster for efficient data processing.Implemented non-real-time reverse ETL for periodic data sync between warehouse and operational systems.* Managed S&P data warehouse, including infrastructure, data marts, and financial reporting models.* Utilized Amazon S3 for scalable and secure data storage.* Built advanced dashboards and automated tasks to enhance efficiency.* Established coding standards and quality assurance with linting tools and custom tests.* Created features in DBT and Looker to improve data accessibility and reporting.* Supported end users and engineering teams, led forecast/budget exercises, and integrated external data.Achievements:* Led design and implementation of data warehouse architecture and data migration to micro services.* Set up data infrastructure for S&P and managed integrations for M&A projects.* Developed complex models for financial reporting, including revenue recognition and budget forecasting.* Enhanced Looker and business intelligence tools with custom features.