Senior Talent Analytics & Insights Lead

RSM US LLP

United States

On-site

USD 95,000 - 125,000

Full time

14 days+
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Job summary

RSM US LLP seeks a Senior Analyst to join the Talent Analytics team within the Talent Technology Center of Excellence. You will develop and deliver analytics solutions, build self-service dashboards in Power BI, and contribute to predictive models to forecast talent trends.

You will lead analytics projects, design analysis plans with stakeholders, and drive adoption of cutting-edge analytics tools across HR. Strong data storytelling and collaboration with HR systems experience are essential.

Qualifications

  • 3+ years using Alteryx and SQL for large data queries.
  • 2+ years visualizing data for non-technical stakeholders with Power BI.
  • Experience with Python or R for automation or modeling.
  • Strong analytical and quantitative problem-solving ability.
  • Excellent communication and team collaboration.

Responsibilities

  • Develop and deliver ad-hoc, recurring, and on-demand analyses.
  • Build and maintain Power BI dashboards for stakeholders.
  • Contribute to predictive models using ML and NLP techniques.
  • Lead strategic analytics projects and manage analysis plans from stakeholders.
  • Drive adoption of analytics tools and methods with cross-functional teams.
  • Provide proactive insights and benchmarking to inform business decisions.

Skills

Analytical thinking
Communication skills
Team collaboration
Problem solving
HR domain knowledge

Tools

Power BI
SQL
Alteryx
R/Python
Excel
Visio
PowerPoint
Workday
Cornerstone
Qualtrics
VNDLY
ServiceNow

Job description

RSM US LLP seeks a Senior Analyst to join the Talent Analytics team within the Talent Technology Center of Excellence. You will develop and deliver analytics solutions, build self-service dashboards in Power BI, and contribute to predictive models to forecast talent trends.

You will lead analytics projects, design analysis plans with stakeholders, and drive adoption of cutting-edge analytics tools across HR. Strong data storytelling and collaboration with HR systems experience are essential.

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