• Analyze data reports and system outputs to identify performance trends and potential issues. • Collaborate with internal stakeholders, clients, and third-party vendors to resolve interface and workflow challenges. • Maintain and enhance existing EDI client configurations as needed. • Provide quality assurance for internal and external reporting outputs. • Manage the commissioning and decommissioning of data sets. • Support the development of new reports and data analyses. • Recommend and implement process improvements to optimize workflow efficiency. • Monitor updates to source data systems and assess their impact on existing workflows and reports. • Deliver training to end users on new reports and data processes. • Develop and maintain Standard Operating Procedures (SOPs). • Act as an escalation point for complex issues, working closely with departmental leadership.

• Utilize advanced analytical techniques to analyze large datasets, extract meaningful insights, and provide actionable recommendations to enhance revenue operations efficiency. • Develop and maintain automated data reconciliation and quality checks to proactively identify and resolve discrepancies, ensuring accuracy and consistency of critical reports and dashboards. • Create compelling visualizations to effectively communicate complex data insights, making information accessible and actionable for a diverse audience. • Build and maintain data models to support GTM, helping the organization make informed strategic decisions. • Drive the automation of our business intelligence ecosystem by treating dashboards and semantic layers as code using Git, automated testing frameworks, and CI/CD pipelines. • Work closely with various teams, including Sales, Marketing, Finance, and Product, to understand business requirements and provide analytical support. • Identify opportunities to enhance data quality, reporting processes, and analytics tools to drive continuous improvement in data analysis capabilities.

• Design, develop, and maintain dashboards and reports in Power BI. • Perform data extraction, transformation, and loading (ETL) processes. • Collaborate with stakeholders to understand their data needs. • Ensure the accuracy and reliability of the data presented in dashboards. • Train end users on how to use dashboards and reports effectively. • Troubleshoot data-related issues and maintain the Power BI infrastructure. • Stay up to date with the latest features, updates, and best practices for Power BI / Fabric.

• Design, build, and maintain gold-layer data models and a governed metrics layer in Snowflake using dbt — clean, tested, documented, and version-controlled. • Establish metric definitions as the single source of truth: calculated once, reused everywhere, with clear ownership and change management. • Push transformation and calculation logic upstream into the warehouse so the consumption layer stays simple, consistent, and high-trust — eliminating per-dashboard logic and manual rework. • Partner with data engineering on the boundary between raw/silver pipelines (theirs) and the gold/metrics layer (yours). • Build and maintain dashboards, reports, and analytics experiences in our enterprise BI platform that sit on top of governed metrics rather than reinventing logic. • Translate business questions into both the underlying metric and the visualization that communicates it. • Champion data quality, consistency, and trust across all delivered analytics, ensuring numbers hold up under scrutiny.