Senior Analyst, Business Intelligence & Analytics, Omni

Ready for a career glow up? The work you do will impact beauty, as you uncover client behaviors, measure the performance of key programs and initiatives, and translate digital client journeys into meaningful business impact across both digital and store channels. You'll collaborate across Omni, Digital, Retail, Tech, and Product, bringing curiosity, analytical rigor, and innovative thinking to the opportunities that matter most. Partner independently with stakeholders to support key Omni Convenience initiatives, delivering strategic analyses, channel performance insights, forecasting, and analytics guidance that inform business decisions. Build and maintain accurate, intuitive, and actionable dashboards and reports that give business partners clear visibility into program performance, trends, and opportunities. Conduct ad hoc analyses to answer strategic business questions, uncover actionable insights, and troubleshoot data or performance issues. Translate complex data and digital client journey insights into compelling narratives and recommendations that help influence decision-making across the organization. Leverage AI, automation, and emerging technologies to enhance analytics communications, streamline reporting and dashboards, simplify complex analyses, and scale data-driven decision-making. Collaborate with Tech and Product teams to gather requirements and ensure effective tracking and reporting across digital platforms and in-store digital initiatives. Manage multiple projects and stakeholder priorities independently, navigating ambiguity while maintaining a high standard for data accuracy, consistency, and attention to detail. Build strong cross-functional partnerships and communicate insights effectively with stakeholders, including senior leadership. 3+ years of experience in an analytics role, with strong analytical and quantitative capabilities across data extraction, analysis, interpretation, and visualization. Advanced SQL skills, advanced Excel and PowerPoint capabilities, and experience with data visualization; R or Python experience is a plus. Proficiency with analytics platforms and tools including Databricks, Databricks Genie, and Tableau; Adobe Analytics knowledge is a plus. Experience using AI, automation, and self-service analytics tools such as Copilot, Databricks Genie, or Claude to improve productivity, simplify complex analyses, and expand access to data-driven insights. Proven ability to analyze large, complex datasets, identify meaningful trends and gaps, and turn findings into clear, actionable recommendations. Exceptional problem-solving, critical-thinking, and attention-to-detail skills, with a strong commitment to data accuracy and consistency. Strong interpersonal, collaboration, influence, and communication skills, including the ability to translate complex analyses into compelling narratives for senior leaders. An entrepreneurial mindset and creative approach to problem-solving, with the ability to work independently, navigate ambiguity, and prioritize multiple projects against tight deadlines. Bachelor's degree in Business, Analytics, Mathematics, Statistics, or a related field; programming or analytics certifications are a plus.