Data Analyst 2

Pay rate range - $70/hr. to $75/hr. on W2

Hybrid: 4 days in Office 1 day remote

Job Description

Top 3 Skill Sets:

1. Excel
2. Python
3. Data pipelines

Education Requirement

Bachelor

Years of experience: 1-3

The Role

• Supports execution of Annual and Quarterly Analytics plans to enable 3-year HR strategy and annual Action plan.
• Provides consistent tracking and analysis of key performance metrics to provide business leaders with actionable insights.
• Integrates business performance and market forecasting into workforce planning to ensure headcount allocation is aligned with business growth priorities.
• Delivers regular reporting and data visualizations that include but not limited to: workforce planning reports across business divisions, Succession Planning, Leadership & Development reports, Talent review data, and workforce trend dashboards.
• Supports the team with the ability to analyze, forecast, and showcase the impact of HR programs on turnover, retention, and key measures throughout the employee life cycle.
• Partners with our various Centers of Excellence & stakeholders to enhance organizational processes for business efficiency.
• Synthesizes and visualizes insights from data.

Skills And Qualifications

• Advanced Excel skills and formulas are critical.
• Strong PowerPoint skills.
• Experience using Data visualization tools, including Tableau.
• Background in a non-HR job function is a plus but not required.
• Exceptional communication and writing skills, with the ability to present findings to a non-technical audience.
• Knowledge of at least one of the following: Python, R, SQL.
• Knowledge of Alteryx.
• Strong understanding of statistical methods and their application in the business context.
• Demonstrated ability on how to approach ad-hoc reports and then translate them into complex data with actionable insights.
• Strong mathematical skills, including statistics, modeling and forecasting, financial planning, and risk management capabilities are preferred.
• Experience with building out Data pipelines in Python.