Data Scientist
Position Summary
Tailored Brands, Inc. is a leading omni-channel specialty retailer of menswear, including suits, formalwear and a broad selection of business casual offerings. We help our customers look and feel their best by delivering personalized products and services through our convenient network of stores and e-commerce sites. Our brands include Men’s Wearhouse, Jos. A. Bank, Moores Clothing for Men and K&G.
We currently have an exciting opportunity for a Senior Analyst on the Ecommerce Analytics team. You will leverage your curiosity and analytical skillsets to dive into areas like targeted offers, optimal value proposition, experiment design, and data-driven insights to improve short- and long-term profitability. You drive projects from beginning to end and communicate insights to stakeholders at all levels, from peers to executives. You enjoy being creative in your use of latest technology, tools and methods to understand marketing levers and consumer behaviors; and are eager to initiate new ideas, approaches, and actions that move the business forward.
Key Responsibilities
- Drive positive customer experiences, increase conversion, speed up new product launches and optimize site performance.
- Understand online and omni-channel customers deeply using Customer Segmentation, Retention and Reactivation, Lifetime Value and other predictive models.
- Work closely with marketing, engineering and ecom teams to understand what’s working and what isn’t in our e-commerce program: drive tracking & measurement changes that uncover new insights.
- Be the go-to-person for troubleshooting system issues from both a technical and business scope in order fix any problems directly. Help design requirements for developer implementation.
- Produce recommendations and reports to help stakeholders make decisions regarding segmentation, performance, and prioritization from a data driven perspective
- Deliver actionable strategic and tactical recommendations in a consultative approach to support business objectives
- Present analysis conclusions to team members in a clear, interpretable, and applicable way that can be shared widely.
- Identify what metrics matter as you craft elegant reports. Improve data sources and automate processes so that you can maximize time spent on high value ad-hoc pursuits.
- Expand our capabilities so we can be smart on leveraging predictive analytics / ML algos. Contribute to building a comprehensive customer 360 view.
- Develop and streamline reporting and dashboards; provide ability to monitor initiatives while effectively communicating on-going performance (Tableau, Excel/PPT)
- Proactively monitor metrics and make recommendations to maximize performance results and ROI
- Collaborate with colleagues in Data Engineering to develop ongoing improvements to data quality, standardized definitions, governance, tools, and approaches.
- Evaluate opportunities to enhance data and capabilities by identifying 3rd party resources, systems, and tools.
- Communicate platform and research/analytical/data science concepts with technical and non-technical partners
- Partner across Analytics to share learnings, align on methodologies and leverage best practices
Skills, Abilities, Experience & Qualifications
- Bachelor's degree in Applied Statistics, Economics, Finance, Market Analysis or related fields; or relevant experience.
- Min 3+ years in eCommerce, Marketing, Consumer or Digital Analytics, preferably within eCommerce and/or retail.
- Superior analytical and problem-solving skills; experience leveraging data to drive strategic recommendations
- Customer-centric mindset and demonstrated ability to leverage insights to make changes to our customer experience
- Understand and translate business objectives and goals into measurement strategies and reporting requirements
- Demonstrated experience in presenting information to diverse audiences to influence decisions and impact the bottom line
- Strong communication and collaboration skills; act as a bridge among business, analytics and engineering teams.
- Demonstrated ability to manage and prioritize multiple projects simultaneously. Agile mindset and ability to prioritize what is most impactful to the business and our customers
- Experience with Google Analytics as well as commercial & transactional data.
- Deep experience in advanced data visualization tools such as Google Data Studio, Tableau, or Power BI which allow you to create rich dashboards and derive insights.
- Advanced proficiency with SQL; proficiency in R or Python a plus.
- You’ll need solid project management skills and be comfortable working in both Scrum and Kanban approaches, as well more traditional PM practices, to get the job done. Experience with JIRA, GitHub, Confluence tools.
- Focus on data accuracy and QA. The data will be reported throughout the company so we need to be sure it is validated and accurate from all sources
- You understand user behavior on websites and through purchasing analysis with metrics/dimensions, advanced segments, event tracking & goals, and enhanced ecommerce analytics.
- You know the latest changes related to PII in the industry, and the impact on tracking and reporting across ecosystems.
- You’ve been exposed to A/B testing process, outcomes and tools
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 on a daily basis
- 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 exceed 40 hours per week
Note: To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed are representative of the knowledge, skill, and/or ability required and is not intended to be an exhaustive list of all duties, responsibilities or qualifications associated with thi