Revenue Operations Data Analyst, Tive

• 4+ years demonstrating prowess as a data analyst in B2B software, ideally within the SaaS landscape or high-growth technology firms, supporting Revenue Operations, Customer Success (advantageous) or customer-facing functions
• Proven experience with board and investor-level reporting, including building executive dashboards and supporting quarterly presentations
• Strong SQL expertise with advanced data visualization skills, leveraging data lakes and reporting platforms like Sigma, Tableau or Power BI to deliver actionable insights; prior exposure to Snowflake is an added advantage
• Hands-on experience with Salesforce, NetSuite (advantageous) and CS tools like Gainsight, Pendo, etc
• Deep understanding of SaaS metrics and customer lifecycle analytics (renewals, churn, onboarding, trials, usage)
• Excellent communication and data storytelling skills—able to influence executives and stakeholders through data
• Highly detail-oriented, with strong project management and cross-functional collaboration skills

Desirable

• In this role you will be an individual contributor, reporting to the Lead Revenue Operations Analyst and turn data into actionable insights that drive deal conversion, customer retention, product adoption, service delivery, and overall customer health across the revenue lifecycle
• You will work cross-functionally with CS leadership, Sales Leadership, Data Science, Product, and Finance to build dashboards to deliver impactful narratives to a senior audience
• Build, maintain, and enhance recurring and ad hoc dashboards supporting company-wide performance across Sales, Customer Success, Marketing, and Finance
• Support standardized reporting across the revenue and customer lifecycle, including pipeline, forecasts, revenue, retention, usage, and operational performance metrics
• Assist in consolidating data from core systems such as Data Lakes (eg. Snowflake, etc.), product analytics platforms, financial systems, and internal databases into reliable reporting outputs
• Maintain existing dashboards and reports to ensure accuracy, consistency, and alignment with evolving business needs
• Analyze business performance trends across go-to-market and post-sale functions to identify drivers, risks, and opportunities
• Partner with the Executive Leadership Team to deliver analysis that supports operational decision-making and performance optimization
• Support the definition, tracking, and monitoring of KPIs and metrics aligned to company goals
• Translate data into clear, actionable insights for operational leaders and cross-functional stakeholders
• Support data quality, integrity, and consistency across CRM, BI tools, and source systems
• Identify data gaps or inconsistencies and collaborate with RevOps and functional partners to improve data capture and reporting reliability
• Help maintain clear documentation for metrics definitions, dashboards, and reporting logic to support scale and self-service analytics
• Provide analytical support with the development and maintenance of data models that support reporting and analytical needs
• Support automation and efficiency improvements within reporting workflows to reduce manual effort and improve scalability
• Contribute to leadership and executive reporting by preparing data inputs, analysis, and visuals as required
• Support the Lead Data Analyst in assembling insights for business reviews, planning sessions, and company-wide updates
• Act as an analytics partner to internal teams, supporting Sales, Customer Success, and other business functions with timely reporting and insights
• Work closely with the Lead Data Analyst to intake requests, prioritize work, and deliver high-quality analytics solutions
• Support cross-functional projects by providing data that informs decision-making, operational improvements, and strategic initiatives