Job Location: Mexico City, Mexico. Position: Senior Data Analyst – Global Data, Analytics & AI team. Responsibilities Own key analytics workstreams end‑to‑end—from business question and metric definition through certified dashboard adoption—partnering with stakeholders across the global organization. Define, certify, and govern metrics in the semantic layer and ARC, ensuring a single, consistent source of truth across e‑commerce, consumer, and loyalty reporting. Build and maintain production‑grade dashboards and data products (Looker, Looker Studio, Tableau, or similar) that drive self‑service and reduce ad‑hoc reporting load. Write complex, performant SQL against large datasets in BigQuery; build and maintain transformation pipelines (dbt) feeding the analytics layer. Act as the primary analytics point of contact for assigned business stakeholders—translating ambiguous business problems into clear analyses and communicating results to non‑technical audiences with compelling data storytelling. Conduct deep‑dive analyses (cohorting, funnel, CLV, retention, promo/discount, demand) to surface trends, quantify impact, and recommend action. Support experimentation and measurement—partnering on A/B test readouts, KPI alignment, and incrementality framing. Define and enforce best practices for metric documentation, dashboard standards, QA, and data validation within the team. Mentor and coach junior analysts, providing guidance on SQL, visualization, business framing, and career development. Drive global–regional analytics governance—aligning global frameworks with local market needs so regions get the nuance they need without forking definitions. Proactively identify data‑quality, consistency, and readiness gaps, and partner with Data Engineering / Platform to close them. Ensure risks associated with deliverables are raised and mitigated to keep workstreams on track. Required Technical Skills 5+ years of hands‑on experience in data analytics, business intelligence, or a closely related field, delivering insight that changed business decisions. 5+ years writing complex SQL against large datasets in cloud‑based environments; hands‑on experience with BigQuery (or equivalent) and ideally dbt. 5+ years with data visualization / BI tools (Looker / LookML, Looker Studio, Tableau, or similar); able to choose the right visualization for the data and build compelling narratives. Strong grounding in metric definition and governance—building certified, reusable definitions rather than one‑off reports; semantic‑layer experience a strong plus. Solid analytical/statistical foundation—cohorting, segmentation, funnel analysis, retention/CLV, and a working understanding of experimentation (A/B testing, incrementality). Comfort with Python (or R) for analysis and automation. Experience with cloud data platforms, with a focus on Google Cloud Platform a plus. Excellent communication and stakeholder‑management skills; able to operate across regions and functions (Product, Marketing, Finance). Demonstrated experience mentoring junior analysts and establishing team standards. Desired Education and Experience Bachelor's or Master's degree in a quantitative discipline (statistics, mathematics, economics, computer science, data science, or related). Overall 5+ years of professional experience in analytics / business intelligence, ideally in retail, e‑commerce, or consumer‑facing industries. Track record of delivering analytics products (dashboards, definitions, deep dives) that drove measurable business impact (revenue, cost savings, decision quality). Prior experience as a senior individual contributor, with evidence of influencing team practices and stakeholder decisions. #J-18808-Ljbffr