Note: The job is a remote job and is open to candidates in USA. 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
Skills
- 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
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