Description: Requirements and qualifications * Bachelor's degree completed. * Experience in Operations, Sales Ops, Revenue Ops, CS Ops, and related areas. * Strong SQL knowledge. * Advanced Excel. * Knowledge and experience in data analysis, KPIs, definition and governance of metrics. * Ability to translate business problems into analytical solutions (suggest analytical trade-offs). * Proactivity and ownership of the entire process. * Strong technical and executive communication skills. Desirable * Experience with the Databricks platform: Notebook, SQL, Jobs, etc. * Experience with automation of data pipelines, reports, or analytical routines. * Knowledge of BI tools. Responsibilities and assignments We are seeking a Revenue Operations professional with technical expertise in SQL, databases, and automation, combined with a strong business understanding, capable of transforming raw data into a consistent semantic layer, defining metrics and canonical rules that connect stakeholder needs to scalable and actionable analytical solutions. Reporting, Automation, and Analytical Support * Act as the owner of the Customer Success Semantic Layer, translating technical data into standardized business metrics and concepts, ensuring analytical consistency across the area. * Develop and maintain reports and dashboards in Databricks for monitoring key Customer Success KPIs, ensuring reliability and scalability. * Perform data modeling in Databricks using SQL and Python to support advanced analytics and Machine Learning models developed by the Retention & Expansion Operations team. * Propose data-driven process improvements and manage technical requests, focusing on scaling the delivery of reports and analytical assets across the area. * Manage the Customer Success feature store, ensuring standardization, reuse, and governance for Machine Learning models. * Document and maintain the area’s KPI catalog, ensuring conceptual alignment, metric traceability, and clarity for stakeholders. Collaboration with Stakeholders * Collaborate closely with Customer Success, Retention, Product, Data Engineering, BI, and other company departments. * Communicate analysis results, generated insights, and improvement recommendations clearly, structurally, and action-oriented to different stakeholders. * Prepare and deliver presentations to other teams and to company leadership and strategic roles, translating complex data and analyses into clear, relevant narratives aligned with business priorities. 2512310202491938984