Data Analyst II - Marketing & Customer Analytics
Summary
Analyzes customer and marketing data to drive decisions, build dashboards, and optimize campaigns for a men's apparel retailer with multiple brands.
About the Job
What You’ll Do | Key Accountabilities
- Partner with business stakeholders on customer and marketing analytics, helping answer key business questions and supporting initiatives that improve performance.
- Interpret data to identify business trends, customer behaviors, and opportunities across acquisition, retention, loyalty, and marketing performance.
- Support analysis of customer segments, churn, retention, and buying behaviors to generate actionable recommendations.
- Build, maintain, and improve recurring reporting and dashboards, while identifying the metrics that matter most to the business.
- Conduct ad-hoc analyses to evaluate marketing tactics, campaign performance, and customer outcomes.
- Support test design, measurement, and readouts for A/B testing and other marketing experiments, helping translate results into practical next steps.
- Improve and automate data preparation and reporting processes so more time can be spent on high-value analysis.
- Collaborate with Data Engineering and partners across Analytics to improve data quality, standardized definitions, governance, tools, and ways of working.
- Manage multiple priorities across projects and communicate progress, tradeoffs, and insights effectively.
- Present analyses in a clear, interpretable, and practical way that can be shared broadly with both technical and non-technical audiences.
What You’ll Bring | Skills & Experience
- Bachelor’s degree in a technical or analytical field such as Statistics, Economics, Finance, Computer Science, Mathematics, Operations Research, Industrial Engineering, Marketing Analytics, or related experience.
- 5+ years of experience in analytics, business analysis, or a similar role supporting cross-functional stakeholders.
- Strong SQL skills and experience working with large datasets, including data extraction, transformation, and quality checks.
- Experience with data visualization and reporting tools such as Tableau, Power BI, or Google Data Studio.
- Experience analyzing customer, marketing, or digital performance data to uncover trends and opportunities.
- Familiarity with marketing channels and external agencies including social, search, display, CRM, and other digital channels.
- Familiarity with A/B testing methodology, test measurement, and interpreting results to improve marketing outcomes.
- 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.
- 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.
- Strong communication and collaboration skills, with the ability to act as a bridge among business, analytics, and engineering teams.
- Confidence to scrutinize analyses, identify limitations, and communicate where data quality or methodology may affect interpretation.
- Familiarity with agile ways of working and tools such as Jira, GitHub, or Confluence is a plus.
Work Environment, Physical & Mental Demands
- 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
- Able to lift and move up to 25 pounds occasionally
- Must utilize visual acuity, speech and hearing, hand and eye coordination and manual dexterity necessary to operate a computer and office equipment
- Hours regularly 40 hours per week, as work dictates, from a remote office location
Benefits
Work-Life Balance
- Meeting-Free Fridays (encouraged) | so you can catch up on work and self-development
- Summer Fridays | from Memorial Day to Labor Day so you can enjoy a head-start to the weekend
- Holiday Early Departure | close out early the business day before a company observed holiday
