Revenue Operations Data Analyst

At Tive, we imagine a fully-transparent world in which everything and everyone is connected. We innovate beyond what the world thought possible—so what people hold near and dear arrives on time and in full. We believe (and live!) four core values: • Transparency First: We make everything visible so that everyone can operate better • Always strive to make things simpler • We are One Team, we have each other's backs • Relentless iteration to optimize and improve Whether shipped by road, rail, ocean, or air, Tive reduces shipment delays, minimizes rejected loads, and decreases theft, damage, and spoilage. Our customers count on Tive to ensure that their shipments are delivered on time and in full—because every shipment matters. Are you ready to make an impact in a hyper-growth environment? We're seeking a Revenue Operations Data Analyst who thrives on bringing fresh, innovative ideas to the table. If you're a data analysis wizard with exceptional interpersonal and presentation skills, we want you to join our team and drive our success forward. 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. Our ideal candidate has: • 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. Preferred Characteristics: • Strong desire to take initiative; you thrive on change and are comfortable with ambiguity • Happy to shift from strategic thinking to rolling up your sleeves and supporting implementation. What you’ll be doing: Reporting & Dashboard Development • 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. Analytics & Insights • 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. Data Governance & Quality • 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. Operational & Strategic Support • 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. Leadership & Executive Support • 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. Stakeholder Collaboration • Act as an analytics partner to in