How to Apply: Interested and qualified? Go to International Rescue Committee on theirc.wd1.myworkdayjobs.com to apply.
Show Your Dashboard Storytelling Chops
This role lives at the intersection of data and decision-making. The hiring team wants to see that you can turn messy enterprise data into clear, actionable insights for leadership. Your application should prove you've done this before, not just that you know the tools.
1. Tailor your CV to the data stack: Highlight your hands-on experience with Databricks, dbt, Python, SQL, and Power BI. Use specific projects where you built dashboards or pipelines. If you've used these tools in humanitarian or development contexts, make that prominent.
2. Prepare a portfolio of dashboards: Bring examples of dashboards you've created, especially in Power BI. Be ready to explain the design choices, the data sources, and how the dashboards influenced decisions. If you have a live demo, even better.
3. Practice telling a story with data: You'll be asked to interpret a dataset and present insights. Practice structuring a narrative: what's the key takeaway, why it matters, and what actions should follow. Use the STAR method for behavioral questions.
4. Understand the humanitarian sector: Familiarize yourself with common metrics in humanitarian programs, like reach, outcome, and cost-efficiency. Show you understand the context of grants, program data, and the importance of data for donor reporting.
5. Show your collaboration skills: This role works with fundraising, finance, and programs. Give examples of how you've worked with non-technical stakeholders to understand their needs and deliver solutions. Emphasize your communication skills.
6. Be ready to discuss data governance: The METAL Unit leads data governance for CRRD. Show you understand data quality, data ownership, and the importance of consistent data standards. Mention any experience with data governance frameworks.
7. Highlight your problem-solving approach: The job involves ambiguous problems. Describe a time you tackled a vague request and turned it into a concrete analysis. Show your curiosity and willingness to explore.
8. Know the tools inside out: Be prepared for technical questions on SQL, Python, and Power BI. Review common functions, performance optimization, and how to connect to different data sources. If you have Databricks experience, emphasize it.