Senior Data Analyst, People Analytics (Hybrid)

Popular

San Juan (PR)

Hybrid

USD 90,000 - 120,000

Full time

2 days ago
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Job summary

Popular is seeking a Senior Data Analyst in the People Analytics team to transform workforce data into predictive and prescriptive insights that guide HR decisions. The role involves developing data pipelines, dashboards, and models to support workforce planning, turnover risk, and employee engagement initiatives.

You will partner with the Our People Division and IT to design a datalake and ensure governance, quality, and actionable outcomes across the organization.

Qualifications

  • Bachelor’s or Master’s degree in Statistics, Data Analytics, Programming, Information Systems, Data Science or Computer Science.
  • 2+ years of progressive experience with disparate data sources and generating insights.
  • Experience with relational databases and programming languages (SQL, SAS, R, Python).

Responsibilities

  • Generate actionable insights from workforce data to support HR decisions.
  • Develop data pipelines and analytical solutions for large, complex datasets.
  • Build predictive and prescriptive models for workforce planning, turnover risk, and hiring effectiveness.
  • Create dashboards, scorecards, and reporting tools end-to-end.
  • Present findings to senior leadership and stakeholders with clear recommendations.
  • Collaborate with subject matter experts across the People Analytics team.

Skills

Predictive modeling
Machine learning
Data visualization
Data storytelling

Education

Bachelor's or Master's in Statistics / Data Analytics / CS

Tools

SQL
SAS
R
Python
Snowflake
Databricks
Azure Data Platform

Job description

Popular is seeking a Senior Data Analyst in the People Analytics team to transform workforce data into predictive and prescriptive insights that guide HR decisions. The role involves developing data pipelines, dashboards, and models to support workforce planning, turnover risk, and employee engagement initiatives.

You will partner with the Our People Division and IT to design a datalake and ensure governance, quality, and actionable outcomes across the organization.

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