Tailored Brandsposted 21 days ago
$92,800 - $125,000/Yr
Full-time • Mid Level
Dublin, CA
Clothing, Clothing Accessories, Shoe, and Jewelry Retailers

About the position

Our Enterprise Analytics team is seeking a Sr Data Analyst - Customer & Marketing Analytics who 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 and storytelling, to ensure quality analytical work that is impactful to business outcomes. And you'll coordinate with senior leadership to understand what's working, what we should change, and make 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!

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 the business stakeholders to define and prioritize a roadmap as well as execute to plan.
  • 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.

Requirements

  • 7 years of experience in analytics, with progressive responsibility initiating, executing, and presenting projects for cross-functional teams.
  • Fluent with complex SQL queries and dataset transformations on large datasets.
  • Experience in quantitative marketing (correlation, clustering, segmentation, regression).
  • Experience with advanced data visualization tools such as Google Data Studio, Tableau, or Power BI which allow you to create rich dashboards and derive insights.
  • Familiarity with marketing channels and external agencies including social, search, and display.
  • Familiarity with A/B testing process, outcomes and tools and the use of testing to improve marketing outcomes.
  • Familiarity with evaluating performance of loyalty programs.
  • Strong communication and collaboration skills; act as a bridge among business, analytics, and engineering teams.
  • Proven ability of delivering highly complex analytics projects involving methodology development, analysis, strategic recommendations, and presentation of the findings.
  • Familiar with agile methodology (such as scrum, Kanban) and project management software like JIRA, GitHub, Confluence tools.
  • Confidence to scrutinize and share the limitations of our 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.

Benefits

  • Healthcare including medical, dental and vision.
  • Retirement savings (401k with a company match).
  • Income protection programs such as life, accident and disability insurance.
  • Paid time off for sick leave, vacation, bereavement, jury duty, and holidays.
  • Wellbeing program.
  • Commuter assistance.
  • Adoption assistance.
  • Education assistance.
  • Legal services.
  • Employee merchandise discounts.
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