Partner on the development and administration of HR programs, change management efforts, annual compliance items (audits and filings as needed such as EEO-1, SOCII), policies, practices, and procedures, including but not limited to performance management, annual compensation planning, daily HR transactions (onboarding, offboarding)
Analyze current processes, policies, and workflows to identify opportunities for improvement, and implement solutions and improve operational efficiency by identifying system challenges and implementing procedures and processes to overcome them
Proactively identify opportunities and assess improvements to the employee experience and partner with the HR team to develop and implement innovative and lasting solutions
Provide ad-hoc or special project data analysis to business
Develop and maintain scalable dashboards, reports, and metrics to track key HR performance indicators and identify and advise actionable insights to People Ops Management on initiatives
Provide support for inquiries sent from employees; and respond to questions and resolve issues in a timely manner
Maintain human resources information, audit data, prepare reports, and propose business process improvements and automation
Maintain accuracy, data integrity and consistency of HRIS and its employee data, including historical data, through routine audits to ensure employee data issues are reported, tracked, and corrected in a timely manner
Develop, generate, and validate reports for various business partners and leaders
Document and implement data workflows, process maps, etc. as required
Requirements
3+ years of HRIS, HR Analytics, or Data Analytics experience on an HR team
Strong analytical skills and attention to detail
Excellent organizational, verbal, and written communication skills
Comfortable discussing complex data with both technical and non-technical audiences
Ability to work independently as well as work collaboratively
Advanced Microsoft Excel/Google Sheets Skills, including pivot tables, VLOOKUP/XLOOKUP, Power Query, macros, and data validation
Data visualization (e.g., Power BI, Tableau)
Ability to translate data into insights for non-technical audiences