Data Analyst, Workforce Insights

Dayforce is a global leader in Human Capital Management technology. Simply put, we allow our customers to do the most complex things well (HR, Payroll, Benefits Administration, Workforce Management and Talent Management) and do them to scale. Makes Work Life Better™ is our brand promise, not only to our customers, but to our employees as well. Our flagship platform, Dayforce, helps leaders make smart decisions based on data, strategy and intelligence that create value and maximize productivity.

Summary/About the opportunity

Data analysts are the people responsible for effectively evaluating data to develop reports and visualizations that identify key trends, insights, and analytics. They are comfortable working with structured data, performing analytics, building appropriate visualizations, and drawing conclusions based on empirical evidence. Their understanding of statistical concepts must be strong, and they should develop increasing mastery of internal datasets as well as knowledge learned internally and externally to guide their analysis. Data analysts focus on “What is the data telling me today or in the past?” Importantly, they are good communicators who can translate their findings into language that’s accessible to a wide variety of internal and external audiences.

This role will lead and conduct internal data analysis of Dayforce’s new WorkWell initiative. It’s a research series that leverages millions of internal data points alongside expertise from leading third parties to deliver meaningful insights and trends in four aspects of human capital: pay, leave, retirement, and scheduling. As employers look for an ideal balance between workers’ needs and business objectives, this research will help them become employers of choice and best support their employees as individuals, spouses, parents and caretakers. It will also inform national conversations about these key human capital topics, and spur increased action by businesses to incorporate national and industry best practices.

Responsibilities

• Develop reports and visualizations from structured data using Power BI
• Prepare datasets by writing scripts in SQL or Python (or equivalent)

Required Skills, Expertise & Knowledge

• SQL
• Python (Pandas, NumPy, Scikit-learn)
• Data management
• Data privacy with working knowledge of protecting personal information
• Power BI including knowledge of DAX and power query
• Experience in Databricks (SQL, Python, R)
• Ability to effectively interpret statistics and extrapolate trends
• Familiarity with and knowledge of economics, labor market dynamics, and key human capital management (HCM) topics