Data Analyst, Relay

• You have 2+ years of experience as a Data Analyst, Business Analyst, or in another data-focused role
• You are fluent in SQL, including writing complex queries, working with window functions, optimizing performance, and understanding data warehousing concepts and security best practices. You're able to clearly explain your approach and reasoning, not just produce a working query
• You have experience using business intelligence and data visualization tools such as Metabase, Sigma, Periscope, Mode, or similar platforms
• You have a track record of using data to influence business decisions. You enjoy turning complex analyses into clear, actionable insights that drive meaningful outcomes
• You start with the business problem before jumping into the data, asking thoughtful questions to understand the context and objectives
• You have experience working with large datasets, from exploration and analysis through to delivering insights. You're comfortable working independently while partnering with cross-functional stakeholders
• You communicate clearly, build strong relationships with stakeholders, and enjoy collaborating across multiple teams
• You thrive in ambiguity and adapt quickly in a fast-paced environment where priorities, processes, and data infrastructure continue to evolve
• We're looking for people who are relentless, curious, and care deeply about the work. You're encouraged to apply even if your experience doesn't perfectly match the job description -- your perspective and drive matter more

Desirable

• We are looking for a Data Analyst, Product who will play a pivotal role in bridging data insights with strategic business decisions as Relay enters an exciting new chapter of growth
• As we’ve grown, we need support from you in bridging the gap between data insights and strategic product or business decisions, influencing the direction and success of Relay
• You'll be instrumental in ensuring that our product & business teams are empowered with deep, actionable insights, enabling us to make informed, data-driven decisions that resonate with our customers' needs
• Collaborating with cross-functional teams by proactively proposing analytical solutions and data insights that drive improvement in key strategic pillars
• Ensuring teams have the necessary data they need to function effectively by identifying and tracking core KPIs on top of building dashboards and reports
• Performing in-depth analysis to drive fresh insights, and inform business recommendations by presenting trends to stakeholders
• Monitoring and evaluating data quality to ensure the accuracy and consistency of data
• Consistently delivering high-quality data models, easy-to-interpret visuals (such as charts, graphs and dashboards), and reports that demonstrate a strong understanding of business needs and objectives
• Apply statistical methods to dissect and interpret data, aiding in the prediction and evaluation of new product features and market opportunities. This includes conducting A/B tests and measuring the impact of product changes on user behaviour
• Synthesize information from diverse sources. Integrate and analyze data from user feedback, surveys, operational metrics, and event logs to connect insights directly to business outcomes
• Regularly reporting outcomes and insights to stakeholders across Relay, including the senior leadership team, providing a clear narrative of the impact on business objectives, thereby influencing future data-driven decision-making

• Stage 1: A 45-minute Google Meet video call with a member of the Talent Team
• Stage 2: A 60-minute Google Meet video call with the Hiring Manager
• Stage 3: A take-home case study, followed by a 60-minute Google Meet video call with members of our Data team
• Stage 4: A 45-minute in-person interview with a member of our Leadership team