Data Analyst

Incode

Mexico, Mexico
On-site
Build and maintain operational dashboards
Define and refine quality metrics
Partner with ops, ml, and product
Incode is seeking a Data Analyst to support their Data Labeling and Human-in-the-Loop operations in Mexico City. The role requires a strong analytical mindset and experience in SQL, BI tools, and operational metrics to enhance data-driven decision-making

Job Summary

  • 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.
  • 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.
  • 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.

Matching Summary

Match Score: 85

Incode is seeking a Data Analyst to support their Data Labeling and Human-in-the-Loop operations in Mexico City. The role requires a strong analytical mindset and experience in SQL, BI tools, and operational metrics to enhance data-driven decision-making.

Skills & Requirements

Must-have

  • Build and maintain operational dashboards
  • Define and refine quality metrics
  • Partner with Ops, ML, and Product
  • Analyze task complexity and reviewer dynamics
  • Integrate data from SQL sources
  • Provide actionable insights for decision support

Nice-to-have

  • Comfortable with ambiguity
  • Builder mentality
  • Cross-functional communication skills
  • Ownership and reliability

Key Requirements

  • 5–7 years of experience as a data analyst
  • Strong SQL skills (Redshift preferred)
  • Experience with BI tools (Looker, Metabase, Tableau)
  • Working knowledge of Python
  • Comfortable with incomplete data and evolving requirements

Work Rights

Not specified

Tailored Resume

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