Data Analyst – Operations & CX

About the role

We are looking for a Data Analyst focused on Operations and Customer Experience to join our fast‑growing team in Mexico. You will turn complex data sets into actionable insights that drive operational excellence and improve the customer journey.

Key responsibilities

• Design, build, and maintain scalable dashboards and reporting solutions using Looker and Google BigQuery.
• Analyze metrics such as NPS, customer satisfaction, contact rates, agent performance, and operational efficiency to uncover trends.
• Conduct deep‑dive analyses to identify root causes and translate findings into clear business recommendations.
• Develop data‑driven business cases that quantify impact, ROI, and operational improvements.
• Create automation scripts and analytical tools to streamline workflows and boost team productivity.
• Partner with Data Engineering to ensure data quality, governance, and consistent metric definitions.
• Present technical analysis in simple narratives for non‑technical stakeholders.
• Support Operations, CX, and Quality teams with insights that enhance customer outcomes.

Required profile

• 3+ years of experience in data analytics, preferably in Operations, CX, Quality, or high‑growth tech environments.
• Advanced SQL skills with expertise in writing optimized queries in Google BigQuery.
• Proven ability to create user‑friendly dashboards and data models using Looker; LookML knowledge is a strong plus.
• Strong analytical mindset with a track record of turning data into strategic recommendations.
• Experience building business cases, measuring impact, and prioritizing high‑value initiatives.
• Excellent communication skills for explaining complex insights to global, non‑technical audiences.

Required skills

• Looker
• LookML (advantage)
• Google BigQuery
• Advanced SQL

What we offer

• Opportunity to influence global decision‑making through data‑driven insights.
• Collaborative environment across Operations, CX, and Quality teams.
• Exposure to cutting‑edge analytics tools and large‑scale data sets.