2 дня назад
Data Analytics Manager - Workforce Operations (AI/ML)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Data Analytics Manager - Workforce Operations (AI/ML): Designing and developing HR analytics, reporting, and governance for workforce data with an accent on data visualization, KPI development, and data quality. Focus on building standardized reporting, integrating HR data, managing Workday data integrity, and communicating complex insights to strategic decision-makers.
Location: Atlanta, GA, United States
Company
Retail organization serving families with young children through Carter’s, OshKosh B’gosh, Skip*Hop, and Little Planet brands.
What you will do
- Design and develop analytics and reporting on workforce data, including demographics, turnover, and succession.
- Define data standards, KPIs, reporting strategies, timelines, and documentation in collaboration with stakeholders.
- Create data visualizations, reports, and presentations that communicate complex findings to non-technical audiences and senior management.
- Collect, process, and analyze large datasets while maintaining data integrity and accuracy.
- Implement and manage HR data governance standards, procedures, data quality, and security practices.
- Partner with internal clients, other departments, and the Workday HCM team to improve reporting and data validation.
Requirements
- Bachelor’s degree in business administration, management, statistics, or a related field.
- At least 5 years of experience in data visualization and analytics, including HCM analytics.
- At least 3 years of experience creating HR reports and dashboards for stakeholders.
- Experience with data analysis tools such as Excel, SQL, Power BI, or Tableau.
- Knowledge of data governance, data quality, documentation, data security, and HR compliance systems.
- Business acumen and the ability to connect data insights with strategic decisions.
Nice to have
- Working knowledge of Workday HCM.
- Experience with AI/ML data modeling and predictive analytics.
Culture & Benefits
- Inclusive work environment focused on innovation and learning.
- Equal opportunity employment across protected characteristics.
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