HR Data (Medellín)

HR Data (Medellín)

12 sep
|
Stanley Black & Decker
|
Medellín

12 sep

Stanley Black & Decker

Medellín

We are seeking a People Analytics Data Engineer with strong expertise in Data Engineering, Data Science, and Analytics Governance to join our SBD team. This role will design, develop, and maintain scalable data solutions that empower leaders and business partners to make data-driven decisions. You will play a key role in transforming complex workforce data into actionable insights through trusted, auditable data products.

In this role, you will:
- Build and maintain robust data models, ensuring accuracy, consistency, and usability across all analytics solutions
- Integrate and manage data pipelines from multiple sources (HRIS, ATS, engagement platforms, etc.) to deliver timely and reliable insights
- Develop and productionize advanced analytics and data science solutions for workforce use cases.
- Create reusable advanced analytics assets and translate results into clear narratives and decision-ready recommendations
- Create, maintain, and optimize Workday reports and calculations to enable reliable self-service insights and consistent metric definitions




- Establish and enforce people data governance practices, including metric definitions, canonical datasets, documentation, data lineage, and role-based access controls
- Lead general data quality audits + ongoing monitoring, identify root causes, and drive remediation with HR and system owners
- Support compliance-related reporting and analytics, ensuring accurate definitions, traceable sourcing, and consistent outputs
- Build repeatable analytics workflows using tools such as Alteryx and Python to operationalize standard datasets, QA checks, and reporting outputs
- Partner with stakeholders to translate complex business questions into clear, data-driven solutions and define success measures
- Implement and uphold security and compliance protocols to maintain data integrity and confidentiality

What we look for:
- 8+ years in analytics, data engineering, BI, or data science (preferably in an HR or People function)
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📌 HR Data (Medellín)
🏢 Stanley Black & Decker
📍 Medellín

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