ByteDance · 1 day ago
Leave of Absence Analyst - HROP - AMS
San Jose, CA
Full-time
Onsite
Mid, Senior Level
$72K/yr - $162K/yr
3+ years expByteDance is a global technology company that inspires creativity and enriches life through innovative products. The Leave of Absence Analyst is responsible for auditing, analyzing, and visualizing leave-of-absence data to provide data-driven insights that optimize policies and improve workforce efficiency.
ContentData MiningFoundational AIInternetSocial Media
Responsibilities
Gather end-to-end LOA data from multiple sources (HRIS systems like Workday/SAP SuccessFactors, payroll platforms, leave request portals, and manual records)
Ensure data accuracy per payroll cycle; monitor data quality over time and troubleshoot data discrepancies (e.g., mismatches between leave requests and payroll deductions) with cross-functional teams
Ensure data completeness, consistency through regular data cleaning (e.g., resolving duplicate entries, standardizing leave types, validating date formats) and establishing data governance rules (e.g., defining LOA data metrics, updating data dictionaries)
Conduct descriptive, diagnostic, and predictive analysis on LOA data:
Track key LOA metrics (e.g., total LOA cases per quarter, average leave duration by type, department-wise leave rate, approval/rejection rate)
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)
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)
Work with department managers to address team-specific LOA issues (e.g., high leave turnover in Customer Service) and develop targeted solutions (e.g., cross-training staff for backup)
Liaise with tech teams to enhance HRIS functionality for LOA data tracking (e.g., adding custom fields for leave reason codes, automating leave request workflows)
Qualification
Required
Bachelor's degree in Data Science, Statistics, Human Resources Management, Business Analytics, or a related field. A master's degree is a plus
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
Familiarity with HRIS platforms (Workday, ADP) is highly preferred
Understanding of leave-of-absence types (sick, parental, medical, unpaid, statutory leave) and relevant labor laws (e.g., FMLA, region statutory leave regulations)
Knowledge of HR operations (payroll, workforce planning, employee relations) to contextualize LOA data insights
Strong analytical thinking: Ability to translate business problems into data questions and derive actionable insights
Preferred
3-5 years of experience in HR analytics, workforce analytics, or data analysis (preferably with a focus on leave management, payroll, or employee relations)
Communication: Excellent communication and written skills to present complex data to non-technical stakeholders
Attention to detail: Ensures data accuracy and avoids errors in analysis/reporting
Collaboration: Ability to work cross-functionally with HR, payroll, IT, and department teams
Time management: Prioritizes multiple tasks (e.g., urgent anomaly investigations, regular report deadlines) in a fast-paced environment
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)
Benefits
Medical, dental, and vision insurance
A 401(k) savings plan with company match
Paid parental leave
Short-term and long-term disability coverage
Life insurance
Wellbeing benefits
10 paid holidays per year
10 paid sick days per year
17 days of Paid Personal Time (prorated upon hire with increasing accruals by tenure)
Company
ByteDance
ByteDance is a technology company that develops content creation platforms and services.
10001+ employees
H1B Sponsorship
ByteDance has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (1350)
2024 (1123)
2023 (775)
2022 (487)
2021 (417)
2020 (245)
Funding
Current Stage
Late StageTotal Funding
$9.8BKey Investors
Capital TodayG42Tiger Global Management
2025-11-20Secondary Market· $300M
2024-07-25Secondary Market
2023-03-14Secondary Market· $100M
Leadership Team
Jochen Bischoff
Head of Global Business Solutions - Africa
Matty Lin
General Manager, Global Business Solutions, KR
Recent News
2026-01-08
Company data provided by crunchbase