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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 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.

Please note that you do not need to qualify for all requirements to be considered. We encourage you to apply if you can meet most of the requirements and are comfortable opening a dialog to be considered. 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 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.

For more detailed information go Tailoredbrands.com/working-here/people-culture. Work-Life Balance We understand the demands of work, school, family, and personal responsibilities. Through our work-life resources and programs we offer services for every stage of life to help you manage the day-to-day needs.

We offer programs such as:

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 $106,800
$163,600.

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 $222,394. Other compensation may include a 10% Annual Incentive Plan (AIP) bonus paid out according to policy\". Base pay information is based on market location and may be subject to prevailing wage laws, if applicable.

Note:

To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. 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Sr Data Analyst - Marketing Analytics