Senior Content Analytics Manager – Mexico City (Remote)

Karat; Ciudad de México; Híbrido; MXN 1.200.000 - 1.800.000; Jornada completa

Descripción de la vacante

Karat is seeking a Senior Technical Content Analytics Manager in Mexico City to lead health and performance metrics for technical interview content. You will define success signals, drive AI-enabled analysis, and own cross-functional improvements across content design and architecture teams.

Lead dashboards, monitor score distributions and clustering, and scale quality via automation. Strong SQL, BI skills, and executive communication are essential, with fluency in English and autonomy in a

Formación

• Minimum 6+ years in analytics or strategy with ownership of outcomes.
• Proven use of modern AI tools (Claude, GPT) for data analysis and automation.
• Strong SQL and large-scale data analysis experience; Redshift a plus.
• Fluent in data visualization and BI tools; ability to communicate insights.
• Executive-level communication across technical and non-technical stakeholders.

Responsabilidades

• Design, build, and maintain dashboards and monitoring systems for content health.
• Measure content quality, score distributions, and cheating indicators.
• Apply AI solutions to scale content quality monitoring and improvements.
• Conduct root-cause analyses and validate data-driven solutions.
• Coordinate with Content Development and Architect teams to avoid repeating issues.
• Monitor business and content metrics and report trends to leadership.
• Act as SME on content quality and communicate updates to leadership.

Conocimientos

Data analytics

AI tools usage

Executive communication

SQL proficiency

Problem solving

Cross-functional collaboration

English proficiency

Ambiguity tolerance

Python experience

Herramientas

SQL databases

Redshift

Metabase

AI automation workflows

Data visualization

Descripción del empleo

Karat is seeking a Senior Technical Content Analytics Manager in Mexico City to lead health and performance metrics for technical interview content. You will define success signals, drive AI-enabled analysis, and own cross-functional improvements across content design and architecture teams.

Lead dashboards, monitor score distributions and clustering, and scale quality via automation. Strong SQL, BI skills, and executive communication are essential, with fluency in English and autonomy in a