Partner - Revenue Operations

• Own and evolve the revenue data warehouse and analytics infrastructure, integrating CRM, ERP, finance, and third-party data sources into a unified analytical ecosystem.
• Design, build, and manage scalable ETL/ELT pipelines using tools such as n8n and other data integration platforms to automate data movement and transformation.
• Build and maintain data models and analytical layers that enable reliable pipeline, revenue, customer, sales, and operational reporting.
• Establish and drive data governance, data quality, deduplication, standardization, and data enrichment across the revenue ecosystem.
• Develop and maintain self-service dashboards and BI solutions using Power BI, Tableau, Looker, or equivalent platforms.
• Automate recurring reporting and analysis, reducing dependency on manual reporting and ad-hoc data requests.
• Leverage AI, Generative AI, and AI-assisted analytics to improve reporting, identify trends, surface insights, and accelerate decision-making.
• Explore and implement AI agents and workflow automation for reporting, data analysis, alerts, and recurring RevOps processes.
• Partner with Sales, Customer Success, Finance, Marketing, and the CEO's office to translate business requirements into scalable data and analytics solutions.
• Ensure data pipelines and dashboards are reliable, scalable, secure, and aligned with business requirements.
• Evaluate new data, BI, AI, and automation tools, conduct proof-of-concepts, and drive adoption across the organization.
• Act as the technical analytics partner for RevOps, bringing together data engineering, BI, automation, and AI to solve business problems.

• Strong experience in data warehousing and analytical data architecture BigQuery, Snowflake, or equivalent.
• Strong SQL skills with experience in data extraction, transformation, modelling, and analysis.
• Hands-on experience with ETL/ELT processes and data integration, with exposure to n8n or similar workflow automation tools.
• Experience working with CRM and enterprise data, preferably Salesforce.
• Strong expertise in BI and dashboarding tools such as Power BI, Tableau, Looker, or equivalent.
• Understanding of data governance, data quality, master data, and data management principles.
• Experience applying AI/ML and Generative AI to reporting, analytics, automation, or business intelligence.
• Experience building self-service analytics and reporting platforms.
• Understanding of revenue analytics, pipeline analytics, forecasting, sales performance, customer analytics, or RevOps.
• Ability to work with large and complex datasets from multiple structured and unstructured sources.
• Strong problem-solving skills with the ability to convert business requirements into scalable technical solutions.
• Strong stakeholder management and communication skills.

• 3 to 6 years of experience in Data Analytics, Business Intelligence, Data Engineering, Revenue Operations, or a related field.
• Proven experience building and managing data warehouses and data pipelines in a business environment.
• Strong hands-on technical capability across SQL, ETL/ELT, BI, data modelling, and enterprise data platforms.
• Demonstrated experience establishing data governance and improving data quality across multiple systems.
• Experience using AI/Generative AI to enhance reporting, analysis, or workflow automation.
• Strong understanding of how data supports revenue, sales, customer success, and financial decision-making.
• Comfortable working directly with senior business stakeholders and translating business problems into technical/data solutions.
• Engineering, Computer Science, Data Science, or related technical background preferred.
• Experience in SaaS, B2B technology, travel, or enterprise software environments is a plus.

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