Data Modeling & Transformation
Build and maintain scalable data models using modern tools (e.g., Snowflake, dbt). Translate defined business logic (e.g., ARR calculations) into clean and reusable datasets.
Metrics Implementation
Implement and maintain standardized metrics (e.g., ARR, NRR, churn) in the data layer. Ensure consistency across dashboards and reports.
Automation & Pipeline Support
Work with Data Engineering to automate data pipelines and reduce manual reporting processes.
Dashboarding & Reporting
Develop and maintain dashboards that provide consistent and reliable visibility into business performance.
Data Quality & Validation
Validate data outputs, identify inconsistencies, and support reconciliation efforts across systems (e.g., Salesforce, billing systems).
Global Collaboration
Partner with teams across the US and EMEA to deliver timely and high-quality analytics outputs.