Sr. Revenue Operations BI Analyst

Job description

As the global leader in AI-powered customer experience assurance, we help some of the world's most recognized brands deliver seamless, reliable, and engaging interactions across voice, digital, messaging, and AI-powered channels. Every year, our platform helps optimize hundreds of millions of customer journeys, ensuring businesses can confidently deliver exceptional experiences at scale. As enterprises race to deploy agentic AI, the defining question is no longer whether AI can handle customer interactions, it’s whether those interactions can be trusted. Cyara is the confidence layer that answers that question, testing AI agents with AI agents to detect hallucinations, validate decisions, and ensure compliance before failures ever reach your customers. Joining Cyara means helping shape the future of customer experience, partnering with some of the world’s biggest brands, and working alongside passionate, talented people who are committed to making every customer interaction better. **Job Summary:** We're looking for a highly skilled and experienced Senior Revenue Operations Data Analyst to own and drive our Go-To-Market ™ analytics strategy and execution. This critical role sits at the intersection of data, strategy, and business operations, ensuring our GTM teams (Sales, Marketing, Customer Success) have the insights needed to accelerate growth and operate efficiently. If you have a passion for data storytelling, a deep understanding of the Enterprise SaaS business model, and the technical chops to turn raw data into actionable intelligence, we want to hear from you! ### Key Responsibilities: - **GTM Analytics Ownership:** Own End-to-End GTM Analytics: Be the primary owner for all GTM KPIs and metrics, ensuring consistency, accuracy, and clear definitions across all GTM functions. BI Tool Management: Design, build, and maintain standard GTM metrics, reports, and Business Intelligence (BI) dashboards within our primary BI tool. Ensure dashboards are reliable, up-to-date, and visually effective for consumption by executives and GTM leadership. Ad Hoc Analysis: Fulfill custom, deep-dive ad hoc analytics requests from GTM leadership to investigate performance drivers, identify trends, and support strategic decision-making (e.g., pipeline analysis, campaign ROI, churn drivers). - **Data & System Expertise:**Salesforce Mastery: Serve as the subject matter expert for Salesforce data as the primary source for GTM reporting. This includes a strong understanding of Salesforce objects, their relationships, and the underlying data structure. SQL Development: Write, update, and maintain complex SQL scripts necessary to extract, transform, and load data for reporting and dashboard development, ensuring data integrity and performance. Salesforce Reporting: Manage, build, and maintain existing and new reports and dashboards directly within the Salesforce platform for frontline user visibility. ### Qualifications: **Minimum Requirements** - Experience: Minimum of 5 years of experience in a data analyst, business intelligence, or revenue operations role, specifically building reports and providing analytics for an Enterprise SaaS business. - BI Tool Expertise: Extensive, hands-on experience in BI dashboard and report development (e.g., Tableau, Qlik, Power BI) within an Enterprise SaaS environment. - SQL Proficiency: Expert-level proficiency in SQL for data manipulation, query optimization, and script building required for reporting needs ### Required Skills & Knowledge - SaaS Industry Acumen: Deep understanding of the Enterprise SaaS business model, key GTM operational processes, and common revenue metrics (e.g., ARR, bookings, ACV, lead-to-opportunity conversion, sales cycle length, retention rates). - Data Modeling & Structure: Strong technical knowledge of Salesforce data objects, their relationships, and the overall data structure, including custom objects. - Communication: Excellent written and verbal communication skills with the ability to translate complex data findings into clear, actionable business insights for non-technical stakeholders. - Attention to Detail: Exceptional attention to detail and a commitment to data accuracy and quality.