HR Data & Analytics Leader

InvestCloudOct2024

Warren Township (NJ)

On-site

USD 155,000 - 175,000

Full time

7 days ago
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Job summary

InvestCloud is seeking an HR Data & Analytics Manager who will clean, validate, organize, and present HR data; serve as a link between HR Operations, Finance, project management, and leadership; own data management for performance reviews, compensation programs, AI initiatives. You will automate and integrate solutions using R/Python, Power BI, and HRIS (UKG).

The role emphasizes data quality, dashboards, observability, and the ability to translate data into actionable HR insights for executive

Qualifications

  • Experience driving HR data analytics and dashboards.
  • Strong data governance, accuracy, and privacy awareness.
  • Proficiency with HRIS systems and data pipelines.

Responsibilities

  • Collect, cleanse, organize, and present HR data for processes and initiatives.
  • Build and maintain scripts to automate reporting for leadership.
  • Develop HR dashboards and data pipelines using Power BI and scripting.
  • Model data for performant dashboards with star schemas and dimensional modeling.
  • Audit pipelines and monitor observability; manage data integrity.
  • Create/ refine AI agents for HR using Glean/OpenAI/Claude.
  • Support performance management, compensation data, and workforce planning.
  • Collaborate on process improvement and automation across HR functions.

Skills

Data analytics
R (preferred)
Python
Power BI
Data modeling
Automation scripting
HRIS familiarity

Education

Tools

Glean
OpenAI
Claude
Power Automate
Excel
Pave
GitHub
Airflow
AWS
UKG/Workday

Job description

InvestCloud is seeking an HR Data & Analytics Manager who will clean, validate, organize, and present HR data; serve as a link between HR Operations, Finance, project management, and leadership; own data management for performance reviews, compensation programs, AI initiatives. You will automate and integrate solutions using R/Python, Power BI, and HRIS (UKG).

The role emphasizes data quality, dashboards, observability, and the ability to translate data into actionable HR insights for executive

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