Senior Business Data Analyst – Ecommerce

VRIZE is seeking a Senior Business Data Analyst to support data-driven decision-making across its retail and ecommerce organization. The role partners with business stakeholders, analyzes complex datasets, develops dashboards and self-service analytics, and translates findings into actionable recommendations.

Responsibilities:

• Partner directly with business leaders to understand strategic and operational challenges and translate them into analytical solutions
• Analyze large datasets to answer complex business questions and provide actionable recommendations that influence planning and in-season decisions
• Build, enhance, and maintain executive dashboards and self-service reports using Sigma (or equivalent BI platforms)
• Perform ad-hoc analysis to identify trends, business opportunities, risks, and performance drivers
• Coach and enable business users to leverage self-service analytics capabilities effectively
• Present analytical findings to non-technical audiences through clear storytelling and data visualization
• Proactively identify business opportunities and recommend analytical approaches without waiting for formal requirements
• Collaborate with Data Engineering and Technology teams to ensure reliable access to high-quality data while remaining focused on business analytics
• Contribute to establishing analytics best practices and improving data-driven decision-making across the organization
• Develop reusable analytical assets and automate repetitive analyses using Python

Requirements:

• Bachelor's or Master's degree in Computer Science, Engineering, Statistics, Mathematics, Business Analytics, or a related discipline
• 3+ years of experience in a business-facing analytics role supporting business stakeholders
• Strong expertise in SQL with hands-on experience querying large datasets (Snowflake preferred)
• Experience with modern BI and visualization platforms (Sigma preferred; Tableau, Power BI, or Looker acceptable)
• Demonstrated experience working directly with non-technical business partners and executive stakeholders
• Excellent analytical and problem-solving skills with the ability to work through ambiguous business problems
• Strong communication and presentation skills with the ability to explain technical findings in business language
• Proven ability to independently translate business challenges into analytical requirements and recommend appropriate analytical approaches
• SQL (Advanced)
• Snowflake
• Sigma Analytics (preferred)
• Tableau / Power BI / Looker (acceptable alternatives)
• Python (Pandas, Jupyter, data analysis, automation) (Preferred)
• Excel (Advanced)
• Data visualization and storytelling
• Business analytics and KPI development
• Experience in Retail and Ecommerce analytics
• Hands-on experience with Snowflake as a cloud data platform
• Experience enabling Self-Service Analytics for business users
• Exposure to conversational AI or AI-powered analytics tools
• Python skills for data analysis, automation, and AI-assisted analytical workflows (Pandas, NumPy, notebooks, scripting)
• Experience supporting multi-brand or multi-geography businesses
• Familiarity with experimentation, merchandising analytics, customer behavior analysis, pricing, inventory, or digital commerce metrics