MSF USA is looking to transform complex workforce data into clear, actionable insights to support evidence-based decision-making across the organization.
Requirements
- Demonstrated experience building and managing Power BI dashboards (data modeling, Power Query, DAX).
- Strong analytical and statistical foundation (e.g., regression, hypothesis testing, distributions).
- Hands-on experience with Python and/or R for data wrangling and analysis.
- Excellent attention to detail and data integrity.
- Ability to work with complex, distributed, and sometimes unstructured data.
- Curiosity, enthusiasm for learning, and a passion for turning data into meaningful insights.
- Interest in HR analytics, workforce planning, or people analytics is a plus.
Responsibilities
- Designed and delivered at least one interactive Power BI dashboard that visualizes key workforce metrics and trends.
- Improved data reliability and consistency by identifying and resolving data quality issues across multiple sources (e.g., HRIS, recruitment, and survey data).
- Developed and documented data models and DAX measures to support automated reporting and self-service analytics.
- Produced clear visual and written summaries that connect data findings to actionable recommendations for People & Culture leadership.
- Streamlined or documented data transformation and refresh processes for recurring Power BI reports.
- Gained hands-on experience with data governance, visualization design, and applied workforce analytics in a complex, mission-driven environment.
- Worked with complex, multi-source workforce datasets that require a strong analytical mindset and attention to detail.
Other
- Genuine commitment to the principles and work of Médecins Sans Frontières (MSF).
- Currently pursuing or recently completed a Master’s degree in Data Science, Statistics, Analytics, or a related quantitative field.
- Ability to work 20 hours per week.
- Ability to work in a hybrid environment based in New York, NY.
- Travel requirements: None
