Manager, Operational Analytics

Carters Inc.•Braselton, GA

1d•Onsite

About The Position

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, SkipHop 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: The Manager of Operational Analytics leads the analytics and reporting function for the Braselton distribution center. This role owns the design, build, and maintenance of the DC’s Tableau reporting ecosystem, leads SQL-based data acquisition from enterprise systems and databases, and fulfills ad hoc analysis to DC operations and support teams. This role typical reports to Sr Manager, Production Planning Flow, & Analytics, has 1-2 direct reports and is based in our Braselton distribution center, an on-site work environment.

Requirements

Bachelor’s degree in Business Analytics, Data Science, Computer Science, Information Systems, Supply Chain Management, or a related field; or equivalent combination of education and relevant experience.
3–5+ years of experience in data analytics, business intelligence, reporting, or a related field.
Advanced SQL expertise, including data modeling, query optimization, data management, and reporting infrastructure development.
Experience developing and maintaining Tableau solutions, including dashboards, Tableau Prep, data sources, reporting automation, and data pipelines.
Strong analytical, problem-solving, and decision-support capabilities with the ability to translate data into actionable business insights.
Excellent written and verbal communication skills, with experience presenting findings and recommendations to stakeholders at all organizational levels.
Working knowledge of AI-enabled analytics tools, including Large Language Models (LLMs), and their application to reporting, analytics, and business process improvement.

Nice To Haves

Experience supporting distribution center, supply chain, logistics, inventory, labor, or operations analytics functions.
Prior leadership experience, including direct people management, coaching, and team development.
Experience applying AI/LLMs to improve reporting, analytics, business processes, or decision-making.

Responsibilities

Design, develop, and maintain Tableau dashboards, reports, and data sources that provide timely, accurate visibility into distribution center performance and support data-driven decision-making.
Analyze operational, labor, inventory, and service metrics to identify trends, risks, and improvement opportunities, delivering actionable insights and recommendations to site leadership.
Serve as a strategic business partner to Operations, Inventory Control, Human Resources, and other support functions by translating business questions into meaningful analysis, root-cause findings, and recommended actions.
Build, maintain, and govern reporting solutions, including Tableau Prep flows, Tableau Server/Cloud content, and data management processes, ensuring data integrity, scalability, and user adoption.
Drive the standardization, automation, and continuous improvement of operational reporting processes, proactively identifying opportunities to improve productivity, reduce costs, and enhance overall business performance.
Lead the design, development, and optimization of SQL queries, data models, and reporting infrastructure that support operational reporting, business intelligence, and strategic decision-making.
Oversee the acquisition, integration, validation, and management of data from multiple source systems to ensure the accuracy, reliability, and integrity of analytical and reporting outputs.
Establish and maintain scalable data pipelines, Tableau Prep flows, and data sources that enable automated, sustainable, and enterprise-ready reporting solutions.
Partner with IT, Data Engineering, and business leaders to define data requirements, resolve data quality and accessibility issues, and drive continuous improvements in reporting capabilities.
Champion data governance, reporting standards, and process improvements that enhance data availability, operational efficiency, and the organization's ability to make informed business decisions.
Support special projects and continuous improvement initiatives by providing data-driven insights, analysis, and recommendations that drive operational performance.
Promote adoption of reporting tools, dashboards, and emerging technologies, including AI-enabled solutions, through user training, coaching, and ongoing support.
Manage and develop direct report(s) by providing coaching, performance feedback, workload prioritization, and career development support.