Leave of Absence Analyst

Overview The Leave of Absence Analyst is responsible for auditing, analyzing, and visualizing leave-of-absence data (e.g., sick leave, parental leave, medical leave, unpaid leave) across the organization. By identifying trends, anomalies, and root causes of leave patterns, the role provides data-driven insights to optimize LOA policies, reduce excessive leave risks, improve workforce scheduling efficiency, and enhance employee well-being. This role collaborates closely with HR business partners, payroll teams, and department managers to align data analysis with business goals and ensure compliance with labor laws (e.g., FMLA in the U.S., statutory leave regulations in the markets). Responsibilities LOA Data Collection & Governance - 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 with cross-functional teams. - Ensure data completeness, consistency through regular data cleaning and establishing data governance rules (defining LOA data metrics, updating data dictionaries). LOA Data Analysis & Trend Identification - 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 and identify root causes. Predictive: forecast future leave demand to support workforce planning. - Analyze LOA impact on business operations and quantify associated costs. Reporting & Visualization - Develop regular (weekly/monthly/quarterly) LOA reports and dashboards for stakeholders using tools like Tableau, Power BI, Excel, or SQL. - Translate complex data insights into clear, actionable recommendations and present results in meetings, tailoring 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 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. Cross-Functional Collaboration - Partner with payroll teams to ensure LOA data integrates with payroll processes. - 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. Qualifications Minimum Qualifications 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 Qualifications 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 in a fast-paced environment. Certification in data analytics or HR (e.g., Google Data Analytics Professional Certificate, Tableau Desktop Specialist or SHRM-CP/PHR). Experience working in a global organization (familiarity with US leave policies and multi-country data standards). Job Information The base salary range for this position in the selected city is $72,200 - $162,000 annually. Compensation may vary outside of this range depending on a number of factors, including a candidate’s qualifications, skills, competencies and experience, and location. Base pay is one part of the Total Package that is provided to compensate and recognize employees for their work, and this role may be eligible for additional discretionary bonuses/incentives, and restricted stock units. Benefits may vary depending on the nature of employment and the country work location. Employees have day one access to 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, among others. Employees also receive 10 paid holidays per year, 10 paid sick days per year and 17 days of Paid Personal Time (prorated upon hire with increasing accruals by tenure). The Company reserves the right to modify or change these benefits programs at any time, with or without notice. 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