People Analytics Data Engineer & Insights Builder

MEX - 9930 Takeda Innovation Solutions Mexico S.A de C.V; Santa Fe; Presencial; MXN 700.000 - 1.000.000; Jornada completa

Descripción de la vacante

Takeda seeks a People Data & Insights Engineer to build and scale the data foundation powering People Analytics. You will transform HR and employee experience data into structured assets for analytical use and collaborate with People Analysts and HR stakeholders.

Responsibilities include designing robust pipelines across HRIS, ATS, and survey platforms, building analytical data models, implementing validation, and documenting reusable frameworks.

Formación

• Bachelor’s degree in a quantitative field or equivalent experience in analytics.
• 3–6 years of analytics, data engineering, or people analytics experience.
• Advanced SQL and experience with large, complex datasets.
• English language proficiency mandatory.

Responsabilidades

• Design and maintain robust pipelines that integrate HR systems into curated datasets.
• Build data models supporting reporting and longitudinal analysis.
• Partner with People Analysts and HR stakeholders to translate business questions into data solutions.
• Implement validation checks, reconciliation logic, and monitoring for data integrity.
• Build datasets powering reporting across People Analytics domains (hiring, retention, mobility, skills, engagement).
• Create documentation and reusable frameworks for modeling and access.

Conocimientos

Advanced SQL

Python

Databricks

Snowflake

Data modeling

HR data experience

English required

Educación

Bachelor's degree in quantitative field

Herramientas

HRIS

ATS

Survey platforms

Descripción del empleo

Takeda seeks a People Data & Insights Engineer to build and scale the data foundation powering People Analytics. You will transform HR and employee experience data into structured assets for analytical use and collaborate with People Analysts and HR stakeholders.

Responsibilities include designing robust pipelines across HRIS, ATS, and survey platforms, building analytical data models, implementing validation, and documenting reusable frameworks.