Revenue Operations Analyst (All Genders) - Fully Remote

About the Role

We are seeking a Revenue Operations Analyst dedicated to optimizing data utilization across marketing, sales, customer success, product, and billing teams. Your core responsibility is to analyze and understand how revenue processes perform and identify causes behind performance fluctuations.

Key Responsibilities

• Analyze the customer journey, tracking acquisition through to revenue and retention.
• Establish and maintain uniform metrics across multiple functions including marketing, sales, customer success, product, and finance.
• Retrieve, merge, cleanse, and validate data sourced from operational and analytical platforms.
• Investigate variations in customer behavior, funnel conversions, retention, costs, and revenue streams.
• Identify root causes of performance shifts beyond mere outcome description.
• Review current reporting frameworks to highlight unreliable metrics, missing information, and inconsistencies.
• Develop and test data-driven hypotheses against available datasets.
• Delineate factual evidence from assumptions, correlations, and subjective opinions.
• Assess potential impacts of proposed changes and outline clear success measurement criteria.
• Prioritize initiatives based on impact, effort required, and data reliability.
• Present conclusions and recommendations that effectively support decision-making.
• Implement select dashboards, data models, automations, and process enhancements.
• Evaluate implemented changes to confirm expected outcomes were achieved.
• Utilize AI assistants daily for research, data exploration, coding assistance, and documentation, while critically verifying AI outputs against original data sources.
• Document clear definitions for metrics, data logic, assumptions, methodologies, and any limitations.

Required Skills and Qualifications

• Demonstrated strong analytical abilities and a disciplined problem-solving approach.
• Commitment to high data quality standards and dependable results.
• Foundational programming knowledge with enthusiasm to further develop technical skills.
• Experience or familiarity with tools such as SQL, Python, JavaScript, APIs, spreadsheets, data warehouses, or BI tools is advantageous.
• Basic understanding of statistics, particularly the distinction between causation and correlation.
• The capability to consider problems from multiple angles before drawing conclusions.
• Interest in leveraging AI assistants within analytical and technical workflows.
• Critical judgment in assessing AI-generated analysis.
• Ability to articulate complex analyses clearly and succinctly.
• Self-motivation to learn new systems, tools, and business domains.
• Persistence to ensure analysis results are adequately reliable before drawing conclusions.

What We Offer

• Clearly defined responsibilities with supportive environment encouraging learning from mistakes.
• A collaborative culture focused on outstanding results and valuing your contributions.
• Encouragement for personal growth, accountability, and delivering exceptional impact.
• Regular dynamic feedback to facilitate continuous improvement.
• Open communication channels promoting both personal and professional development.
• Commitment to achieving company success through a results-oriented mindset.
• Engaging team activities including team days, seasonal parties, and celebrations.
• Access to diverse corporate benefits including employee discounts.
• Dog-friendly work environment and a bike leasing program supporting sustainable commuting.

Additional Information

This position does not involve producing predetermined reports; instead, it requires proactive questioning of ambiguous findings, challenging weak metric definitions, and forming independent data-based conclusions. You are expected to take ownership of your analysis areas and contribute to continuous improvement of methods and approaches. The role values quality, reliability, and business impact over time spent online and does not require constant availability.

Equal Opportunity: We embrace applicants from all backgrounds, making hiring decisions grounded on skills, potential, and role suitability.