TikTok
Leave of Absence Analyst Graduate (LOA) - 2026 Start (BS/MS)
TikTok, San Jose, California, United States, 95199
Leave of Absence Analyst Graduate (LOA) - 2026 Start (BS/MS)
Join TikTok in the HR Lifecycle Operations team to deliver a seamless, positive employee experience across the entire employee lifecycle. As a Benefits Specialist, you will support various employee benefits including Leave of Absence (LOA), healthcare benefits, and 401(k) retirement plans. This role requires strong knowledge of leave management, benefits operations, compliance requirements, vendor management, and system optimization.
Responsibilities
LLA Data Analysis & Trend Identification
Conduct descriptive, diagnostic, and predictive analysis on LOA data:
Descriptive: Track key LOA metrics such as total LOA cases per quarter, average leave duration by type, department‑wise leave rate, and approval/rejection rate.
Diagnostic: Investigate anomalies such as sudden spikes in medical 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).
Reporting & Visualization
Develop regular (weekly/monthly/quarterly) LOA reports and dashboards for stakeholders using tools such as Tableau, Power BI, Excel, or SQL.
Translate complex data insights into clear, actionable recommendations.
Present analysis results in meetings (e.g., quarterly HR reviews) and tailor communication to non‑technical audiences.
Policy Optimization & Compliance Support
Evaluate the effectiveness of existing LOA policies 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 such as FMLA and EU Working Time Directive.
Collaborate with HRBP teams to communicate policy changes to employees and track adoption rates.
Cross‑Functional Collaboration
Partner with payroll teams to integrate LOA data with payroll processes (e.g., accurate calculation of paid leave wages).
Work with department managers to address team‑specific LOA issues and develop targeted solutions.
Liaise with tech teams to enhance HRIS functionality for LOA data tracking (e.g., custom fields, automated workflows).
Minimum Qualifications
Currently pursuing an Undergraduate or Master’s 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 advanced Excel (PivotTables, VLOOKUP, macros).
Basic knowledge of statistical analysis (trend analysis, correlation, forecasting) and data cleaning techniques.
Familiarity with HRIS platforms (Workday, ADP) is highly preferred.
Understanding of leave‑of‑absence types and relevant labor laws (e.g., FMLA, local statutory regulations).
Knowledge of HR operations (payroll, workforce planning, employee relations) to contextualize LOA data insights.
Preferred Qualifications
0‑3 years of experience in HR analytics or workforce analytics, preferably focused 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, familiar with U.S. leave policies and multi‑country data standards.
Job Information Compensation Description (Annually) The base salary range for this position is $68,640 – $151,112 per year, varying by qualifications, skills, competencies, and location. Base pay is one part of the total package, which may include discretionary bonuses, incentives, and restricted stock units.
Benefits include medical, dental, and vision insurance, a 401(k) plan with company match, paid parental leave, disability coverage, life insurance, well‑being benefits, 10 paid holidays, 10 paid sick days, and 17 days of paid personal time (prorated upon hire).
By submitting an application you accept TikTok’s global applicant privacy policy available
here .
#J-18808-Ljbffr
Responsibilities
LLA Data Analysis & Trend Identification
Conduct descriptive, diagnostic, and predictive analysis on LOA data:
Descriptive: Track key LOA metrics such as total LOA cases per quarter, average leave duration by type, department‑wise leave rate, and approval/rejection rate.
Diagnostic: Investigate anomalies such as sudden spikes in medical 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).
Reporting & Visualization
Develop regular (weekly/monthly/quarterly) LOA reports and dashboards for stakeholders using tools such as Tableau, Power BI, Excel, or SQL.
Translate complex data insights into clear, actionable recommendations.
Present analysis results in meetings (e.g., quarterly HR reviews) and tailor communication to non‑technical audiences.
Policy Optimization & Compliance Support
Evaluate the effectiveness of existing LOA policies 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 such as FMLA and EU Working Time Directive.
Collaborate with HRBP teams to communicate policy changes to employees and track adoption rates.
Cross‑Functional Collaboration
Partner with payroll teams to integrate LOA data with payroll processes (e.g., accurate calculation of paid leave wages).
Work with department managers to address team‑specific LOA issues and develop targeted solutions.
Liaise with tech teams to enhance HRIS functionality for LOA data tracking (e.g., custom fields, automated workflows).
Minimum Qualifications
Currently pursuing an Undergraduate or Master’s 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 advanced Excel (PivotTables, VLOOKUP, macros).
Basic knowledge of statistical analysis (trend analysis, correlation, forecasting) and data cleaning techniques.
Familiarity with HRIS platforms (Workday, ADP) is highly preferred.
Understanding of leave‑of‑absence types and relevant labor laws (e.g., FMLA, local statutory regulations).
Knowledge of HR operations (payroll, workforce planning, employee relations) to contextualize LOA data insights.
Preferred Qualifications
0‑3 years of experience in HR analytics or workforce analytics, preferably focused 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, familiar with U.S. leave policies and multi‑country data standards.
Job Information Compensation Description (Annually) The base salary range for this position is $68,640 – $151,112 per year, varying by qualifications, skills, competencies, and location. Base pay is one part of the total package, which may include discretionary bonuses, incentives, and restricted stock units.
Benefits include medical, dental, and vision insurance, a 401(k) plan with company match, paid parental leave, disability coverage, life insurance, well‑being benefits, 10 paid holidays, 10 paid sick days, and 17 days of paid personal time (prorated upon hire).
By submitting an application you accept TikTok’s global applicant privacy policy available
here .
#J-18808-Ljbffr