Senior Talent Analytics Strategist — Predictive Insights

RSM US LLP

Omaha (NE)

On-site

USD 82,000 - 140,000

Full time

14 days+

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Job summary

RSM US LLP’s Talent Analytics team within the Talent Technology Center of Excellence seeks a Senior Analyst to lead technical analysis, data modeling, and predictive analytics across HR data, forecasting trends and outcomes that influence strategic decisions.

You will design and deliver ad-hoc, recurring, and self-service analyses, build Power BI dashboards, apply machine learning and NLP techniques, and drive analytics projects from requirements through delivery.

Qualifications

  • Minimum 3 years using data transformation tools such as Alteryx.
  • Minimum 3 years using SQL to query large datasets.
  • Minimum 2 years of data visualization for non-technical stakeholders using Power BI (report creation, DAX, power query, and data modeling).

Responsibilities

  • Using HR systems and database tools to develop and deliver ad hoc, recurring, and on-demand / self-service analysis and data solutions.
  • Independently or with a team, exploring and implementing new ways to take on data or technical challenges.
  • Designing, estimating, and personally executing an analysis plan based on a high-level functional issue description or business question.
  • Describing your own analysis and the insights you draw from it to others in HR or the business.

Skills

Power BI
SQL
Alteryx
Python
R

Education

Bachelor’s degree in CS / MIS / Data Science
Master’s degree in Statistics / Data Science / HR (Preferred)

Tools

Workday
Cornerstone
Qualtrics
VNDLY
ServiceNow

Job description

RSM US LLP’s Talent Analytics team within the Talent Technology Center of Excellence seeks a Senior Analyst to lead technical analysis, data modeling, and predictive analytics across HR data, forecasting trends and outcomes that influence strategic decisions.

You will design and deliver ad-hoc, recurring, and self-service analyses, build Power BI dashboards, apply machine learning and NLP techniques, and drive analytics projects from requirements through delivery.

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