Data Analyst
Mexico
Posted May 25, 2026
POWER A WORLD OF TRUST
Incode is the leading provider of world-class identity solutions that is reinventing the way humans authenticate and verify their identities online to power a world of digital trust. Through our revolutionary identity solutions, we are unleashing the business potential of universal industries including finance, government, retail, hospitality, gaming, and more, by reducing fraud and transforming human interactions with data, products, and services. We’re in the process of rapidly scaling our diverse global team and we’re looking for entrepreneurial individuals and leaders who are curious, driven, and excited by ownership to join a Unicorn-status scale-up! ## The Impact You’ll Make
As a Data Analyst supporting Data Labeling and Human-in-the-Loop (HITL) operations, you will play a critical role in how we understand, measure, and improve labeling performance at scale. You will partner closely with Operations, ML, and Enablement to translate complex workflows into clear metrics, insights, and decision-support tools. This role is ideal for an analyst who enjoys working close to real operations, is comfortable with ambiguity, and wants to move beyond reporting into shaping how teams reason about quality, efficiency, and effort. ## What You’ll Own & Drive
-
Operational visibility: Build and maintain dashboards that track labeling throughput, SLA adherence, backlog health, reviewer performance, and QA outcomes. - Metric definition and refinement: Help define, validate, and iterate on metrics that measure labeling quality, accuracy, efficiency, and cost, ensuring they reflect real operational behavior. - : Act as the analytics partner for Ops, ML, and Product, supporting questions related to model performance, labeling impact, and delivery commitments. - : Analyze task complexity, labeling speed, and reviewer dynamics across workflows to inform planning and prioritization. - : Contribute to reliable data pipelines by integrating data from SQL sources (Redshift/Postgres), annotation tools, QA audits, and operational feedback. - : Provide clear, actionable insights that help teams move from intuition to evidence-based decisions. ##