Who We Are: At Huda Beauty, our Vision is to lead in creating a democratized beauty industry where power is given back to people to define, create, and enjoy beauty for themselves!
Launched by award-winning beauty powerhouse Huda Kattan in 2013, Huda Beauty is one of the world’s fastest growing beauty brands.
As a company, we are fueled by purpose and not profit, this allows us to approach things differently so that we can create products, content, and a community like no other.
A lot has changed since our launch in 2013, but something that will forever remain at the core of Huda Beauty is our focus on business excellence and our unwavering passion for kindness!
  Summary:  We are seeking an experienced Assistant Analytics Manager to deliver high-quality Power BI reporting and analytical solutions that support business decision-making.
This role serves as a critical interface between business stakeholders and analytics delivery, translating requirements into scalable solutions across the Microsoft, Azure, and Databricks ecosystem.
The ideal candidate will have 5+ years of analytics experience, strong SQL expertise, excellent stakeholder engagement skills, and a demonstrated ability to design clear, impactful dashboards that enable data-driven outcomes.
Essential Duties and Responsibilities :  Power BI Reporting & Visualization Design, develop, and maintain Power BI dashboards and reports that translate complex datasets into clear, actionable insights.
Build and optimize data models using DAX and Power Query, ensuring performance, scalability, and accuracy.
Apply best practices in data visualization, UX design, and KPI standardization.
Manage the full Power BI report lifecycle, including enhancements, performance optimization, and governance.
Data Analysis & Preparation Analyze large and complex datasets to uncover trends, insights, and business opportunities.
Prepare, transform, and validate data using SQL and Databricks (Spark SQL / PySpark).
Ensure data quality, consistency, and reconciliation across multiple sources.
Collaborate closely with data engineering teams to define metrics, semantic models, and data structures.
Azure & Microsoft Data Stack Work extensively 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 Act as a trusted analytics partner to stakeholders across functions (Finance, Supply Chain, Marketing, eCommerce, etc.
). Translate business requirements into scalable analytical and reporting solutions.
Present insights, recommendations, and dashboards to senior stakeholders and leadership.
Manage priorities, timelines, and expectations across multiple initiatives.
  Monthly “Self Love Days” – at company discretion  Premium Medical/Dental/Vision coverage for employee plus dependents  Monthly coaching sessions with our in-house Success Coach  Employee discounts on all Huda Beauty products  Quarterly product gifting  Huda Beauty is committed to building diverse and inclusive teams and upholding an equal employment workplace that is free from discrimination.
We hire stellar individuals regardless of their race, color, ancestry, religion, gender identity, national origin, sexual orientation, age, marital status, medical conditions, disability, or veteran status.
 If you need reasonable accommodations at any point in the application or interview process, please let us know.
  5+ years of experience in analytics, BI, or data-related roles.
Advanced SQL skills for data extraction, transformation, and analysis.
Strong expertise in Power BI (DAX, Power Query, data modelling, Power BI Service).
Experience working with Databricks and large-scale data processing.
Solid understanding of Azure data architecture (ADLS, Synapse, Azure SQL).
Proven ability to create executive-level dashboards and reports.
Strong communication skills with the ability to connect data insights to business outcomes.