HR Data Analyst

The HR Data Analyst will play a critical role in the implementation of SuccessFactors, leading data transformation and migration activities and supporting the ongoing reporting and analytics needs of HR. This position will be a key member of the HR Technology team, helping to build a robust, automated, and insight-driven HR function.

Requirements

• Bachelor’s Degree in Human Resources, Information Systems, Data Analytics, or related field.
• Three (3) years’ experience in: HR data management, reporting, or analytics, Working in cross-functional teams and managing multiple priorities, Hands-on experience with HRIS platforms (SuccessFactors, SAP, UKG, Workday, etc.) and data migration projects, Regular Driver’s License
• Familiarity with predictive analytics and workforce modeling, Demonstrated ability to transform complex HR data into clear, actionable insights that drive business decisions and execution, Advanced proficiency in Excel, SQL, and data visualization tools (e.g., Power BI, Tableau), Strong understanding of HR processes, data governance, and compliance requirements, Analytical mindset with excellent problem-solving skills and attention to detail, Effective communication skills and ability to translate technical concepts for non-technical audiences and collaborate with a variety of stakeholders, Knowledge of data privacy, security, and regulatory requirements in HR (e.g., GDPR, SOX)

Benefits

• Flexible work arrangement
• Competitive base salary based on successful candidate’s background as it relates to the job requirements as well as internal equity considerations
• Eligible for overtime, shift differential or premium pay (if applicable)
• Fantastic opportunities for career growth
• Cooperative, supportive and empowered team atmosphere
• Annual bonus and salary increase opportunities
• Monthly recognition events
• Endless wellness initiatives and community events
• Robust and customizable benefit packages-choose what works best with your life
• Paid time off, holidays and a separate bank of sick time!

Tagged as: Data Analysis