About the job
About Us: At Huda Beauty, we envision a beauty industry that empowers individuals to define, create, and celebrate their own beauty. Founded by the acclaimed beauty entrepreneur Huda Kattan in 2013, Huda Beauty has swiftly risen to become one of the globe's most dynamic beauty brands. Our mission is driven by a commitment to purpose over profits, allowing us to innovate uniquely through our products, content, and community engagement. While we've evolved since our inception, our unwavering dedication to excellence and kindness remains at the heart of Huda Beauty.
Position Overview: We are on the lookout for a skilled Assistant Analytics Manager to produce top-tier Power BI reporting and analytical solutions that facilitate strategic business decisions. This vital role acts as a liaison between business stakeholders and analytics delivery, translating their needs into scalable solutions within the Microsoft Azure and Databricks ecosystems.
The ideal candidate will possess over 5 years of analytics experience, strong SQL skills, exceptional stakeholder engagement abilities, and a proven track record in designing impactful, clear dashboards that drive data-informed results.
Key Responsibilities:
- Power BI Reporting & Visualization: Create, develop, and sustain Power BI dashboards and reports that convert complex datasets into clear, actionable insights.
- Optimize data models using DAX and Power Query, ensuring performance, scalability, and precision.
- Implement best practices in data visualization, user experience design, and KPI standardization.
- Oversee the entire Power BI report lifecycle, including enhancements, performance tuning, and governance.
- Data Analysis & Preparation: Examine extensive and intricate datasets to identify trends, insights, and business opportunities.
- Prepare, transform, and validate data using SQL and Databricks (Spark SQL / PySpark).
- Ensure data quality, consistency, and reconciliation across various sources.
- Work closely with data engineering teams to establish metrics, semantic models, and data structures.
- Azure & Microsoft Data Stack: Engage thoroughly with Databricks, Azure Data Lake, Azure Synapse, and Power BI Service.
- Utilize the broader Microsoft stack, including Azure SQL, SQL Server, and Excel, for analysis and validation.
- Support data governance, security, and access management within Azure and Power BI environments.
- Business Partnership & Stakeholder Management: Serve as a trusted analytics partner to stakeholders across various departments (Finance, Supply Chain, Marketing, eCommerce, etc.).

