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Senior Event Data Analyst

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Groupon

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Location:
Argentina; Brazil

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Contract Type:
Employment contract

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Salary:

Not provided

Job Description:

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.

Job Responsibility:

  • 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
  • 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
  • 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
  • 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
  • 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
  • Use LLM-based tools to accelerate investigations, rule reviews, and schema audits
  • Provide structured feedback to improve internal agent workflows

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

Additional Information:

Job Posted:
December 09, 2025

Work Type:
Remote work
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