Senior Event Data Analyst

Groupon is a marketplace where customers discover new experiences and services everyday and local businesses thrive. To date we have worked with over a million merchant partners worldwide, connecting over 16 million customers with deals across various categories. In a world often dominated by e-commerce giants, we stand out as one of the few platforms uniquely committed to helping local businesses succeed on a performance basis. Groupon is on a radical journey to transform our business with relentless pursuit of results. Even with thousands of employees spread across multiple continents, we still maintain a culture that inspires innovation, rewards risk-taking and celebrates success. The impact here can be immediate due to our scale and the speed of our transformation. We're a "best of both worlds" kind of company. We're big enough to have the resources and scale, but small enough that a single person has a surprising amount of autonomy and can make a meaningful impact. About the Role We’re hiring a Senior Event Data Analyst to improve the quality, consistency, and reliability of Groupon’s clickstream and event data. This data powers analytics, experimentation, attribution, and product decisions. You’ll audit existing event flows, find and fix issues, update our canonical schemas, and refresh data quality rules so downstream teams can trust what they see. This role is hands‑on, investigative, and highly cross‑functional. You’ll work closely with engineering, product analytics, and platform teams to trace issues across the entire event lifecycle and resolve them quickly. An AI‑first mindset is expected to accelerate debugging and rule validation. Location: Remote from Central and South America Key Responsibilities 1. Event Quality Audits & Semantic Validation Investigate known and unknown tracking issues and drive resolution. Validate correctness, completeness, and consistency of raw vs. canonicalized events. Check attribute meaning, parity across platforms, and alignment with product/UI behavior. Identify mismatches such as naming drift or inconsistent attribute values. 2. Canonical Schema & Mapping Governance Maintain and refine canonical schemas and mapping rules for source → canonical events. Ensure multi‑source events follow consistent semantics. Work with engineering teams to correct upstream defects or breaking changes. 3. Data Quality Rules & Alerting Improvements Review and simplify existing data quality rules. Build clear, actionable rules with appropriate severity levels. Reduce alert fatigue while improving real‑issue detection. Update rules as product and upstream changes occur. 4. End‑to‑End Debugging Across the Event Lifecycle Trace issues from front‑end instrumentation → upstream services → canonicalization → pipelines → consumers. Pinpoint root causes across systems and teams. Produce clear RCA documentation and collaborate on fixes. 5. Collaboration & Stakeholder Support Lead or support issue triage meetings with engineering and analytics. Validate funnel definitions and product measurement logic. Provide guidance during office hours and help close feedback loops. Advocate for better measurement hygiene and instrumentation quality. 6. AI‑First, Agentic Workflows Use LLM‑based tools to accelerate investigations, rule reviews, and schema audits. Provide structured feedback to improve internal agent workflows. Key Requirements 5+ years working with SQL, Python, event debugging, and analytical problem‑solving. 5+ years with e‑commerce clickstream data, behavioral tracking, and purchase funnels. Experience with event semantics, canonical schemas, and mapping layers. Strong understanding of event‑based systems, experimentation, and streaming pipelines. Ability to investigate issues across multiple systems and teams. Strong ownership, structured thinking, and ability to operate with minimal direction. AI‑first mindset and hands‑on use of LLM tools for debugging/analysis. Nice to Have Experience with GA, Adobe Analytics, PostHog, or similar platforms. Experience designing quality rules or anomaly detection frameworks. Familiarity with GDPR or enterprise data governance standards. Experience building agentic workflows or automations. What Success Looks Like Tracking issues are identified earlier, resolved faster, and documented clearly. Canonical schemas remain stable and predictable for downstream users. Data quality rules become simpler, more accurate, and less noisy. Stakeholders trust event data for experimentation, dashboards, and product decisions. AI tools meaningfully shorten investigation and debugging turnaround times. We Are Interested In People who enjoy deep debugging and solving ambiguous data issues. Analysts who communicate clearly across technical and non‑technical teams. Individuals who are proactive, structured, and bias toward action. People who use AI tools to speed up analysis and investigation. #LI-Remote Groupon is an AI-First Company We’re committed to building smarter, faster, and more innovative ways of working—and AI plays a key role in how we get there. We encourage candidates to leverage AI tools during the hiring process where it adds value, and we’re always keen to hear how technology improves the way you work. If you’re passionate about AI or curious to explore how it can elevate your role—you’ll be right at home here. Groupon’s purpose is to build strong communities through thriving small businesses. To learn more about the world’s largest local e-commerce marketplace, click here. You can also find out more about us in the latest Groupon news as well as learning about our DEI approach. If all of this sounds like something that’s a great fit for you, then click apply and join us on a mission to become the ultimate destination for local experiences and services. #J-18808-Ljbffr