Business Operations Analyst III

At Zuora, we’re helping people subscribe to new ways of doing business that are better for people, companies, and the planet. Our approach focuses on the Subscription Economy, building recurring relationships instead of one-time product sales to drive sustainable growth. Through our expertise and multi-product suite, we transform industries and work with innovative companies to monetize new business models, nurture subscriber relationships, and optimize digital experiences.

About the role

We are seeking an AI-native Marketing Business Analyst to serve as a strategic partner to Marketing Executive Leadership. This role will transform complex demand, marketing, customer, and revenue data into actionable insights that drive investment decisions, optimize performance, and elevate executive decision-making. The ideal candidate combines deep analytical expertise, advanced SQL skills, modern AI workflows, and exceptional business acumen. They are comfortable moving between detailed data analysis and executive-level storytelling, helping leaders understand not just what happened, but why it happened and what actions to take next. This is a hybrid position, requiring both remote and in-office work.

Responsibilities

• Analyze campaign, digital, event, ABM, product marketing, customer marketing, and demand generation performance.
• Write complex SQL queries to extract, transform, and analyze data across multiple systems.
• Build attribution, funnel, and conversion analyses that drive marketing investment decisions.
• Partner with marketing leaders to define success metrics and optimize program performance.
• Maintain reusable definitions in markdown-based documentation and other shared knowledge assets to support team enablement and skill-building.
• Conduct ad hoc analyses to answer critical business questions and support strategic initiatives.
• Partner with data engineering, RevOps, and business systems teams to ensure data quality and governance.
• Validate data accuracy and maintain trust in executive reporting.
• Design and maintain executive-level marketing performance frameworks, dashboards, and reporting.
• Develop KPIs and measurement methodologies that connect marketing activities to pipeline, revenue, customer growth, and business outcomes.
• Translate complex analyses into clear narratives and recommendations for executive audiences.
• Support quarterly business reviews, board reporting, annual planning, and strategic decision-making.
• Identify emerging trends, risks, and opportunities through proactive analysis.
• Own the marketing semantic layer, including KPI definitions, business logic, data dictionaries, AI-ready documentation, and reusable measurement frameworks to ensure consistency across reporting, dashboards, AI agents, and executive communications.
• Leverage AI tools and modern analytics platforms to accelerate insight generation and improve productivity.
• Design AI-powered workflows for reporting, forecasting, anomaly detection, data enrichment, and executive brief creation.
• Champion AI-first approaches to analytics, reporting, and business intelligence.

Requirements

• 5+ years of experience in marketing analytics, business analytics, revenue operations, or related analytical roles.
• Expert-level SQL skills with the ability to work across large, complex datasets.
• Experience building executive-facing dashboards, scorecards, and measurement frameworks.
• Strong understanding of B2B marketing metrics, funnel analytics, pipeline generation, attribution, and revenue measurement.
• Demonstrated ability to influence decision-making through data-driven storytelling.
• Experience using AI tools and technologies to improve analytical workflows and business outcomes.
• Advanced proficiency in BI platforms such as Tableau, Power BI, Looker, Sigma, or similar.
• Excellent communication skills with the ability to present to executive leadership.

Preferred Qualifications

• Experience in SaaS, subscription, or recurring revenue business models.
• Familiarity with marketing automation, CRM, and customer data platforms.
• Experience with forecasting, predictive analytics, and statistical modeling.
• Knowledge of Python, dbt, or modern data stack technologies.
• Experience supporting CMO, CRO, or executive leadership teams.

Benefits

• Competitive compensation, variable bonus, and performance reward opportunities, including retirement programs.
• Medical, dental, and vision insurance.
• Generous, flexible time off, paid holidays, “wellness” days, and a company-wide end-of-year break.
• 6 months fully paid parental leave.
• Learning & Development stipend.
• Opportunities to volunteer and give back, including a charitable donation match.
• Free resources and support for mental wellbeing.

Specific benefits offerings may vary by country.

Pay

The base pay for this role ranges from $106,400 to $159,600 USD annually. The final base salary will be determined based on factors such as qualifications, job-related knowledge, prior experience, specific skills, location, internal equity, and budget.