Lead Analyst, Analytics COE

Serving the needs of all families with young children, Carter's Inc. is the largest North American apparel retailer exclusively for babies and young children, encompassing Carter's, OshKosh B'gosh, Skip•Hop and Little Planet brands. Meaningful work, constant learning, genuine people, and a community guided by core values that promote inclusion and innovation is in everything we do. There are many reasons to build your career at Carter's. How you'll make an impact: This role typical reports to Director, Analytics COE & Strategy and is based in our Buckhead Office. Lead analytics projects (30%) Serve as the technical and analytical Subject Matter Expert (SME) Lead and mentor team members Collaborate with business SMEs to produce analytical solutions Enable Tableau and other tools for Self-Service analytics within functional business groups to improve insights and efficiency Data modeling and machine learning (20%) Collaborate with stakeholders to understand business needs and develop data-driven solutions Design and execute analytics projects Build and deploy machine learning models Monitor and maintain machine learning models Data Engineering (20%) Develop custom queries per use case Connect to a variety of databases Joining, un-joining and shaping data Design and develop Tableau dashboards which include key metrics, variance reporting, and advanced analytics (20%) Work through Tableau dashboard lifecycle from frameworks to dashboard deployment Apply visual analytics principles to effectively communicate insights Creating interactive dashboards with the end user in mind Creating calculations, parameters and leveraging Tableau analytics Develop ETL flows when necessary Follow AGILE methodology to successfully manage and deliver projects (10%) Project management and leadership Tracking in JIRA Secondary functions include: Recommend and support the introduction of new or improved technical and business practices. Prepare documentation and user aids suitable to end user needs. Provide training to end users and support staff appropriate to the business need. Performs analytical, and programming tasks as assigned outside of conventional BI tool Support BI tools and add-ons. We'd Love to hear from you if: (Requirements section) Must have: 2+ years of experience with Machine Learning tools 3 years of experience with BI Tool Expertise (Tableau, MicroStrategy, Business Objects, Cognos,etc.) 2 years of experience with Python, R, SQL (Procedures, Views, Functions, Scripts, etc.) 2 years of experience with Data Warehouse / Databases (AWS Redshift, Teradata, Oracle, SQL Server, etc.) 1+ year of experience with ETL Tool Exposure (Informatica, Data Stage etc.) Preferred skills and experience: Bachelor's Degree in CS, Business, or similar field (Masters / MBA a plus) 2 years of experience with Business Intelligence or Analytics experience 2 years of experience with Data Warehouse / Data Integration development experience 1 year of experience with Data Modeling experience Retail and / or Wholesale experience is a plus Carters is committed to creating a diverse environment and is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity, sexual orientation, national origin, genetics, disability, age, veteran status, or any other status protected by federal, state, or local law. We've become an industry leader by providing quality - from the clothing we sell to the careers we offer our team. Shared values have paved the way to our success. We nurture inclusive work environments for everyone. We invest in our teams with training and development programs to help them build their skills. We succeed together; everyone is welcome to grow in many ways. We've kept our close-knit warmth since our founding. You'll have the opportunity to work with colleagues who often become fast, lifelong friends while making new connections and sharing memorable experiences. Caring, teamwork, flexibility, and growth are what make us different. What's not to love?