Responsibilities

• Partner with business stakeholders on marketing and customer analytics, delivering creative solutions and innovative strategies to drive real business results.
• Interpret data to identify business trends, conduct ad-hoc analyses, and identify digital marketing opportunities.
• Analyze customer segments, churn, retention, and buying behaviors.
• Develop and streamline reporting and dashboards. Identify what metrics matter as you craft elegant reports and proactively monitor them. Improve data sources and automate processes so that you can maximize time spent on high-value ad-hoc pursuits.
• Own the analytics outcomes for marketing channel performance and optimization, partnering with business stakeholders to define and prioritize a roadmap as well as execute to plan.
• Design, evaluate, and interpret tests and experiments to improve marketing performance and customer outcomes.
• Translate analytical findings into clear business actions, recommendations, and prioritization decisions that drive impact.
• Collaborate with colleagues in Data Engineering to develop ongoing improvements to data quality, standardized definitions, governance, tools, and approaches.
• Manage and prioritize multiple projects simultaneously based on what is most impactful to the business and our customers.
• Present analyses in a clear, interpretable, and applicable way that can be shared widely, communicating effectively with both technical and non-technical partners.

Requirements

• 7+ years of experience in analytics, with progressive responsibility initiating, executing, and presenting projects for cross-functional teams.
• Comfort working with AI-enabled tools and technologies to accelerate analysis, improve productivity, and support business decision-making, including developing practical methodologies to QA AI-generated outputs and assess their reliability before use.
• Fluent with complex SQL queries and dataset transformations on large datasets.
• Experience in quantitative marketing, including correlation, clustering, segmentation, regression, and marketing performance analysis.
• Experience with advanced data visualization tools such as Google Data Studio, Tableau, or Power BI that enable rich dashboards and insight generation.
• Strong ability to interpret data and turn it into practical business actions, recommendations, and prioritization decisions.
• Strong practical business sense, with the ability to balance analytical rigor with real-world tradeoffs and translate insights into decisions that improve customer and business outcomes.
• Familiarity with marketing channels and external agencies including social, search, and display.
• Familiarity with A/B testing methodology, test design, measurement, and translating results into marketing actions.
• Familiarity with evaluating performance of loyalty programs.

Benefits

• Tailored Brands benefits page (healthcare, 401k, PTO, and more)