Responsibilities

• Analyze customer, transaction, product, loyalty, campaign, and digital/channel data to identify trends, opportunities, and risks.
• Develop customer insights around acquisition, retention, reactivation, churn, customer value, purchase behavior, and engagement.
• Build and maintain customer segments, profiles, behavioral cohorts, and propensity-based audiences to support marketing and customer strategies.
• Translate complex analytical findings into clear, actionable recommendations for Marketing, CRM, Merchandising, Digital, Loyalty, and other business stakeholders.
• Leverage AI and machine learning techniques to identify patterns, predict customer behavior, automate analysis, and improve decision-making.
• Use generative AI and AI-assisted analytics tools to accelerate exploratory analysis, reporting, insight generation, and analytical workflows.
• Partner with data engineering and technology teams to leverage modern cloud data platforms and ensure customer data is accurate, accessible, and fit for analysis.
• Develop recurring dashboards, reports, and self-service analytical solutions that enable business teams to monitor customer KPIs and trends.
• Conduct campaign and audience analytics, including measurement of customer response, conversion, incremental behavior, and ROI.
• Perform ad hoc analyses to answer strategic business questions and support data-driven decision-making.

Requirements

• Bachelor's degree in Analytics, Statistics, Mathematics, Computer Science, Marketing Analytics, Economics, or a related field.
• 3+ years of experience in customer analytics, marketing analytics, business intelligence, or a related analytical role.
• Strong SQL skills and experience working with large, complex datasets.
• Experience analyzing customer and transactional data and translating findings into business recommendations.
• Proficiency in Python and/or PySpark for data analysis and automation.
• Experience working with Databricks or similar cloud-based data platforms.
• Working knowledge of AI/ML concepts and generative AI tools, with the ability to apply AI to analytical and business problems.
• Experience with data visualization tools such as Tableau, Power BI, or similar platforms.
• Strong understanding of customer segmentation, customer lifecycle, retention, acquisition, and behavioral analytics.
• Strong communication and storytelling skills, with the ability to present analytical findings to both technical and non-technical audiences.

Benefits

• If eligible, we offer a competitive benefits package including medical/dental/vision, term life insurance, paid vacation/holidays*, and 401(k) with Company match. All associates are eligible for an associate discount on all Catalyst Brands merchandise. For paid holidays, associates who are eligible for paid vacation (MTO) are also eligible for eight paid holidays during the calendar year. All store hourly associates scheduled to work on a designated holiday will receive additional compensation. *For paid vacation days, as well as eligibility requirements for other benefits, please visit www.catalystbrandsbenefits.com