Senior Operations Analyst, Relay

• 3 - 5 years of experience as a Data Analyst or Business Analyst supporting GTM, revenue, or strategy functions in a high-growth startup or SaaS environment
• Highly analytical and business-minded, able to move fluidly from diagnosing performance issues to designing systems and metrics that solve them
• Domain knowledge in B2B fintech or SaaS analytics, with a strong understanding of sales and marketing funnels and key metrics such as ARR, NRR, LTV, CAC, conversion, and retention
• Advanced SQL skills, including query optimization, CTEs, and window functions; comfort working with large datasets and multiple data sources
• Experience with BI/visualization (Looker, Metabase, Mode, etc.) and comfortable building self-serve assets for non-technical users
• Excellent communicator who thrives in cross-functional collaboration, bridging data, operations, and strategy to influence GTM decisions
• You have a passion for storytelling using data with an ability to synthesize complex information into simple, clear, and compelling actionable insights
• Adaptability to handle change and uncertainty at times; We are a startup after all!

Desirable

• We are looking for a Senior Data Analyst to transform how we understand, optimize, and scale our go-to-market (GTM) and revenue operations (RevOps).
• As we grow, you will play a pivotal role in diagnosing funnel health, improving acquisition efficiency, and tying GTM motions to revenue outcomes.
• Your work will ensure Sales, Marketing, and Operations are equipped with actionable insights, intuitive dashboards, and scalable data models that drive predictable growth. Please note that we are a hybrid environment and choose to collaborate in the office three days a week
• Partnering with Sales, GTM, and RevOps leaders to proactively propose analyses and experiments that deepen understanding of our customer journey, uncover growth opportunities, and inform go-to-market strategy
• Diagnosing funnel health and conversion levers across channels (inbound, outbound, partnerships), identifying the drivers behind acquisition, engagement, and expansion performance
• Partnering with GTM leadership to set targets, forecast performance, and guide strategic planning using data-driven insights that optimize investment and resource allocation
• Designing and maintaining reliable, scalable GTM data models that unify CRM, marketing automation, product usage, and financial data. Building automated dashboards and reports in BI tools that empower stakeholders to self-serve and make informed decisions
• Applying statistical and experimental methods to evaluate GTM and funnel changes, measuring the impact of messaging, channels, and processes on conversion, revenue, and expansion opportunities
• Communicating findings and recommendations clearly to Sales, Marketing, Partnerships, and Leadership, translating complex data into actionable strategies that drive growth and efficiency

• Stage 1: A 45-minute Google Meets video call with our Data Analytics Manager
• Stage 2: A 1-hour Google Meets video call with VP of Strategy & Operations
• Stage 3: A 45-minute in-person values interview with a member of the Relay Leadership Team
• Stage 4: A take-home analytics case study, followed by a 60-minute presentation to members of the GTM and Data team (virtual, or in-person)