Senior Event Data Analyst

Groupon; México; A distancia; MXN 1.260.579 - 1.620.745; Jornada completa

Descripción de la vacante

A leading e-commerce company is seeking a Senior Event Data Analyst to enhance the quality and reliability of event data. This hands-on role involves tracking issue resolution, maintaining schemas, and collaborating across teams. Ideal candidates will have strong skills in SQL, Python, and event debugging, with a proactive mindset. Join us in leveraging AI tools to streamline our data processes and contribute to product decisions. This position is full-time and remote from LATAM.

Formación

• Proficiency in SQL and Python.
• Experience with e-commerce clickstream data and behavior tracking.
• Strong understanding of event-based systems.

Responsabilidades

• Investigate and resolve tracking issues, validating correctness and completeness.
• Maintain canonical schemas and mapping rules for event transformation.
• Lead issue triage meetings with engineering and analytics.

Conocimientos

SQL

Python

Event Debugging

Analytical Problem-Solving

E-commerce Clickstream Data

Herramientas

GA

Adobe Analytics

PostHog

Descripción del empleo

Senior Event Data Analyst – Groupon

Senior Event Data Analyst role at Groupon

Join to apply for the Senior Event Data Analyst role at Groupon

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 LATAM

Key Responsibilities

• Investigate and resolve tracking issues by validating correctness, completeness, and consistency of raw versus canonicalized events. Identify mismatches in naming, attributes, and platform parity against product/UI behavior.
• Maintain canonical schemas and mapping rules for source‑to‑canonical event transformation. Ensure multi‑source event consistency and collaborate with engineering to correct upstream defects or breaking changes.
• Review, simplify, and build clear data quality rules with appropriate severity levels. Reduce alert fatigue while improving real‑issue detection, updating rules as product and upstream systems evolve.
• Trace and pinpoint root causes across front‑end instrumentation, upstream services, canonicalization, pipelines, and downstream consumers. Produce clear RCA documentation and drive cross‑team resolution.
• Lead issue triage meetings with engineering and analytics. Validate funnel definitions, product measurement logic, and provide guidance on measurement hygiene and instrumentation quality.
• Leverage LLM‑based tools to accelerate investigations, rule reviews, and schema audits. Provide structured feedback to improve internal agent workflows.

Key Requirements

• Core Skills: Proficiency in SQL, Python, event debugging, and analytical problem‑solving. Experience with e‑commerce clickstream data, behavioral tracking, and purchase funnels. Knowledge of event semantics, canonical schemas, and mapping layers.
• Technical Expertise: Strong understanding of event‑based systems, experimentation, streaming pipelines, and ability to investigate issues across multiple systems and teams. AI‑first mindset with hands‑on use of LLM tools for debugging and analysis.
• Soft Skills & Work Style: Strong ownership, structured thinking, and ability to operate with minimal direction. Clear communication across technical and non‑technical stakeholders. Proactive, bias toward action, and comfortable with ambiguous data problems.

Nice to Have

Experience with GA, Adobe Analytics, PostHog, or similar platforms. Background in designing data quality rules, anomaly detection frameworks, or agentic workflows. Familiarity with GDPR or enterprise data governance standards.

What Success Looks Like

Tracking issues identified and resolved faster with clear documentation. Canonical schemas remain stable and predictable for downstream users. Data quality rules become simpler, more accurate, and less noisy. Stakeholders confidently use event data for experimentation and product decisions. AI tools meaningfully reduce investigation and debugging turnaround times.

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.

About Groupon

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.

Seniority level

Mid‑Senior level

Employment type

Full‑time

Job function

Information Technology

Industries

Software Development

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