Sr Data Analyst - Marketing Analytics Arnold Rd., Suite , Dublin, CA,

Position: Sr Data Analyst - Marketing Analytics 5601 Arnold Rd., Suite 200, Dublin, CA, United States, 94[...]
## Sr Data Analyst
- Marketing Analytics
5601 Arnold Rd., Suite 200, Dublin, CA, United States, 94568

Apply Now Get Job Matches Job IDBrand Name Tailored Shared Services, LLCJob Function Office
- Strategy & Analytics Location
5601 Arnold Rd., Suite 200, Dublin, CA, United States, 94568

Location Name
02098 Corporate Remote
** Tailored Brands
** is a leading specialty retailer of menswear, including suits, formal wear, sportswear, and a broad selection of business casual offerings. Our brands
** include Men's Wearhouse, Jos.

A. Bank, Moores and K&G Fashion Superstore,
** which offers merchandise for the entire family. We help people love the way they look and feel for their most important moments by delivering personalized products and services through our convenient network of stores and e-commerce sites.
** About the Job
** We currently have an exciting opportunity for a
** Sr Data Analyst – Marketing Analytics
** to join the Tailored Brands Enterprise Analytics team. The Sr Data Analyst – Marketing Analytics will partner closely with Marketing and other business stakeholders on our customer and marketing activities – evaluating performance, analyzing customer acquisition, and identifying opportunities to attract, retain, and delight customers. In this role, you will leverage your skills in stakeholder management, data processing, experimentation, AI-enabled analytics, and storytelling to ensure quality analytical work that is impactful to business outcomes.

You will also coordinate with senior leadership to understand what’s working, what we should change, and make thoughtful tradeoffs between tactics.

Tailored Brands is a high-growth, collaborative environment where people who are comfortable with ambiguity and have an investigative mindset will thrive. If you love technology, have a grasp of the big picture, and communicate equally well with software engineers and business stakeholders, we are looking for you.
** What You’ll Do | Key Accountabilities*
* • 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.
** What You’ll Bring | Skills & Experience*
* • 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…