HCM Analyst

2 weeks ago


New York City, United States Samiti Technology Solutions and Services Private Limited Full time

MSK's HR Operations department is seeking an experienced HCM Analyst, with Staff Augmentation and HCM Reporting expertise, to support HR Insights delivery. The HCM Analyst will focus on using data to provide key workforce insights across the organization:

You Will:
Workday HCM Dashboard (reporting and visualization) Design and Configuration
Help us launch Workday's People Analytics Module (AI delivered module)
Update current D&I dashboards/insights to match revised Office of Inclusion and Diversity targets/priorities
Modify existing HCM Dashboards to support ongoing data requests at scale - including trending/historical view
Support Global Report Catalog Design, QA
Create Workday HR reporting/dashboards (Absence, Total Rewards, Compensation, HCM Core, Performance Management) to support Executive Data needs

You Are:
An effective communicator
A quick learner
Curious by nature and you take consultative approach to work
Flexible/adaptable in a fast pace environment
A colloborative team player
Detail-oriented
You Need:
HR Background/Experience (required)
Strong analytical, data visualization, and storytelling skills
Problem solving and critical thinking capability
Workday expertise and ability to advise on best practices
Experience with Workday Report Writer/Dashboarding, Prism (a plus)
Experience with Tableau (or other data visualization tools) required
Experience with Alteryx required
Microsoft Suite proficiency (advanced Excel)
Bachelors degree, preferred in Business, Market Research, Statistics, Economics or Computer Science or related discipline (but not required to be in these disciplines). Masters preferred
At least 3+ years of relevant work experience and 2+ years experience as a data analyst: Connecting data (HR, Finance, Market Research or Operations data preferred) to quickly break down objectives into key questions and information requirements
Ability to create models to provide insights on decisions (trends, correlations, “What ifs”) and forecasting.
Demonstrated experience working with real-world data


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