[Hiring] Data Analyst II - Marketing & Customer Analytics @Tailored Brands

Role Description

We currently have an opportunity for a Data Analyst II – Marketing & Customer Analytics to join the Tailored Brands Enterprise Analytics team. The Data Analyst II – Marketing & Customer Analytics will partner closely with Marketing and other business stakeholders on customer and marketing activities. In this role, you will help evaluate performance, analyze customer behavior and acquisition, support testing and measurement, and identify opportunities to attract, retain, and delight customers. You will leverage your skills in data analysis, reporting, and storytelling to deliver quality analytical work that informs business decisions and drives measurable outcomes.

Tailored Brands is a collaborative environment where people who are comfortable with ambiguity, curious about the business, and motivated to solve problems with data will thrive. If you enjoy working across business and technical teams, can connect the details to the big picture, and are excited to turn insights into action, we are looking for you.

Qualifications

• 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.

Requirements

• 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

• This role is eligible for 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, adoption assistance, education assistance, legal services, and employee merchandise discounts.

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.

The starting salary for this position is $92,810 – $142,350. Actual compensation within this range will be determined based on factors such as skills, experience, and qualifications. Over time, and subject to performance, tenure, and evolving responsibilities, total compensation for this role may grow to as much as $193,294. Base pay information is based on market location and may be subject to prevailing wage laws, if applicable.