Leave of Absence Analyst Project Intern (HROP) - 2026 Start (BS/MS)

TikTok is a short-form mobile video platform focused on inspiring creativity and bringing joy. The Leave of Absence Analyst Project Intern will analyze and visualize leave-of-absence data, identify trends and root causes, and provide insights to improve policies, workforce planning, and employee well-being. The role also supports reporting, compliance, policy optimization, and collaboration with HR, payroll, department managers, and technology teams.

What you'll do:

• Conduct descriptive, diagnostic, and predictive analysis on LOA data:
• Descriptive: Track key LOA metrics (e.g., total LOA cases per quarter, average leave duration by type, department-wise leave rate, approval/rejection rate)
• Diagnostic: Investigate anomalies (e.g., sudden spikes in medical leave in a specific team, unusually long unpaid leave) and identify root causes (e.g., workplace stress, seasonal illnesses, policy gaps)
• Predictive: Forecast future leave demand (e.g., peak parental leave periods, Q4 sick leave trends) to support workforce planning
• Analyze LOA impact on business operations (e.g., project delays due to key employee leave) and quantify associated costs (e.g., payroll for paid leave, hiring temporary staff)
• Develop regular (weekly/monthly/quarterly) LOA reports and dashboards for stakeholders (HR leaders, department managers, executives) using tools like Tableau, Power BI, Excel, or SQL
• Translate complex data insights into clear, actionable recommendations (e.g., “Parental leave duration in Engineering is 20% longer than company average—suggest updating policy to align with team needs”)
• Present analysis results in meetings (e.g., quarterly HR reviews) and tailor communication to non-technical audiences
• Evaluate the effectiveness of existing LOA policies (e.g., “Is the new mental health leave policy reducing unplanned sick days?”) using data metrics and employee feedback
• Provide data support for policy updates (e.g., adjusting paid leave limits, adding new leave types) to ensure alignment with labor laws (e.g., FMLA, EU Working Time Directive) and industry best practices
• Collaborate with HRBP teams to communicate policy changes to employees and track adoption rates (e.g., how many employees use the new bereavement leave benefit)
• Partner with payroll teams to ensure LOA data integrates with payroll processes (e.g., accurate calculation of paid leave wages, deduction for unpaid leave)

What they're looking for:

• Currently pursuing an Undergraduate/Masters in Data Science, Statistics, Human Resources Management, Business Analytics, or a related field
• Proficiency in data querying tools (SQL, HQL) to extract LOA data from HRIS/payroll systems
• Experience with data visualization tools (Tableau, Power BI, Qlik) and spreadsheet software (Advanced Excel: PivotTables, VLOOKUP, macros)
• Basic knowledge of statistical analysis (e.g., trend analysis, correlation, forecasting) and data cleaning techniques
• Understanding of leave-of-absence types (sick, parental, medical, unpaid, statutory leave) and relevant labor laws (e.g., FMLA, local statutory leave regulations)
• Knowledge of HR operations (payroll, workforce planning, employee relations) to contextualize LOA data insights
• Experience in HR analytics, workforce analytics, or data analysis (preferably with a focus on leave management, payroll, or employee relations)
• Certification in data analytics (e.g., Google Data Analytics Professional Certificate, Tableau Desktop Specialist) or HR (e.g., SHRM-CP, PHR)
• Experience working in a global organization (familiarity with US leave policies and multi-country data standards)
• Familiarity with HRIS platforms (Workday, ADP) is highly preferred

Benefits:

• Interns have day one access to health insurance, life insurance, wellbeing benefits and more.
• Interns also receive 10 paid holidays per year and paid sick time (56 hours if hired in first half of year, 40 if hired in second half of year).
• Interns who are not working 100% remote may also be eligible for housing allowance.