Sr Data Analyst - Marketing Analytics

Analytics And Marketing Specialist

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. Partner across Analytics to share learnings, align on methodologies, and leverage best practices. 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. Strong communication and collaboration skills; acts as a bridge among business, analytics, and engineering teams. Proven ability to deliver highly complex analytics projects involving methodology development, analysis, strategic recommendations, and presentation of findings. Familiarity with agile methodologies such as Scrum or Kanban and project management software like JIRA, GitHub, and Confluence. Confidence to scrutinize and share the limitations of analyses when the data isn't perfect. Bachelor's degree in a technical field like Computer Science, Economics, Finance, Statistics, Operations Research, or Industrial Engineering, or relevant experience. Ability to sit and work at a computer keyboard for extended periods of time Ability to stoop, kneel, bend at the waist, and reach daily