Sr Business Intelligence Analyst

Job Summary

The Senior Business Intelligence Analyst serves as a strategic thought partner to business and functional leaders, using advanced analytics, modeling, and visualization to support operational, financial, and strategic decisions. This role works independently on complex problems, leads analytics initiatives, and acts as a subject-matter resource for less experienced team members.

Key Responsibilities

• Analyze, model, and interpret operational, financial, and organizational data to assess business performance and identify opportunities for improvement
• Develop advanced analytical models to evaluate operational changes, market dynamics, and strategic initiatives
• Build and maintain business intelligence dashboards, reports, and visualizations that clearly communicate insights to stakeholders
• Possess cross-functional collaboration with Operations, Finance, Marketing, and Leadership to support data-driven decision-making
• Quantify the impact of business initiatives and provide scenario and sensitivity analyses to support planning and investment decisions
• Apply statistical, mathematical, and predictive modeling techniques to high-volume, complex datasets
• Identify trends, risks, and opportunities within business segments and competitive markets
• Translate complex analytical findings into clear, actionable recommendations for both technical and non-technical audiences
• Lead or significantly contribute to analytics projects and ongoing performance tracking initiatives
• Act as a resource and mentor to analysts with less experience, sharing best practices and analytical approaches

Qualifications

• Bachelor’s degree in Business, Economics, Mathematics, Statistics, Finance, or a related field
• 5+ years in business intelligence, analytics, data analysis, or a similar analytical discipline
• Proven ability to analyze large, complex datasets and develop analytical and financial models that support business decision-making
• Advanced Excel skills, including complex modeling, data analysis, and reporting
• Proficiency with modern BI, data visualization, and data warehousing technologies such as SQL, Snowflake, Power BI, Tableau, Qlik, or similar platforms
• Knowledge of data mining, data integration, and migration practices within an omnichannel business environment
• Strong analytical and problem-solving capabilities, with the ability to navigate ambiguity and translate complex business challenges into actionable insights
• Excellent written and verbal communication skills, including the ability to present findings and recommendations to technical and non-technical audiences
• Ability to train, coach, and support end users in the adoption of reporting, analytics, and self-service BI tools

Preferred Background

• Background in a corporate retail, convenience store, or multi-site operating environment
• Familiarity with enterprise platforms and data ecosystems, including SAP, PDI, and Tableau