Strategic HR Data & Analytics Leader

Socket.dev

Warren Township (NJ)

On-site

USD 155,000 - 175,000

Full time

3 days ago
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Benefits offered by this job

Medical benefits
Dental benefits
Vision benefits
401(k) with company match
Paid time off

Job summary

InvestCloud, a global leader in wealth technology, seeks an HR Data & Analytics Manager to drive analytics, data governance, and AI-enabled processes for HR and leadership. You will automate data pipelines, build dashboards, and partner across HR Operations, Finance, and senior leadership to elevate decision-making.

The role focuses on performance, compensation, and workforce planning data, leveraging UKG/HRIS, Pave, and AI tooling to deliver reliable insights and scalable solutions for a global

Qualifications

  • Experience with HR data analytics and reporting in a global org.
  • Proficiency in scripting and automation for data pipelines.
  • Strong data modeling, dashboards, and BI engineering capabilities.

Responsibilities

  • Collect, validate, and maintain HR data related to performance, compensation, and other metrics.
  • Build automated reports and dashboards using Power BI, R/Python; enable executive insights.
  • Develop data models (star schemas) and data pipelines; ensure data quality and observability.
  • Integrate data from UKG, Pave, and other HR systems; maintain source of truth.
  • Present insights to HR leadership and stakeholders; support compensation and workforce planning.

Skills

Data analysis
Scripting & automation
Data modeling
Dashboards
Power BI
R/Python
HR data governance
Communication

Tools

Power BI
UKG/HRIS
Pave
Glean
OpenAI/Claude
Excel
Power Automate
GitHub/GitLab
Airflow

Job description

InvestCloud, a global leader in wealth technology, seeks an HR Data & Analytics Manager to drive analytics, data governance, and AI-enabled processes for HR and leadership. You will automate data pipelines, build dashboards, and partner across HR Operations, Finance, and senior leadership to elevate decision-making.

The role focuses on performance, compensation, and workforce planning data, leveraging UKG/HRIS, Pave, and AI tooling to deliver reliable insights and scalable solutions for a global

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