2 Retail jobs

Dillard's, Inc. ranks among the nation's largest fashion apparel, cosmetics and home furnishings retailers with annual sales exceeding $6.3 billion. The Company focuses on delivering maximum fashion and value to its shoppers by offering compelling selections complemented by exceptional customer care. The Company comprises of nearly 300 stores, spanning 29 states, all operating with one name - Dillard's. Dillard’s is seeking a Senior Network Engineer/Architect in Little Rock, Arkansas. This open position is within a Network Engineering team responsible for all network infrastructure. It will include designing new solutions to enhance network for promoting business outcomes. You will assist in developing engineering strategies and designs for network reliability, capacity & performance, and assuring infrastructure remains stable and cost effective. You will be required to design, operate, maintain, and support complex LAN, WAN, MAN, WLAN, Data Center, DWDM/ONS, and VOIP products in the test and production environments. You must also have the knowledge and ability to implement industry best practice solutions into the production environment when needed, while also supporting additional networking equipment such as load-balancers, various security components, QOS, and external carrier networking services. The ability to interact knowledgeably with security personnel and security solutions is a must. REQUIRED SKILLS Authorization to work in the United States without sponsorship. BS degree and 5+ years of experience or combination of education and specialized industry experience. Strong technical knowledge equivalent or better than CCNA, CCNP and CCIE certification. Excellent communication skills are required to interface with both technical and nontechnical teams and team members. Solid experience with OSPF, EIGRP and BGP routing protocols, Cisco Nexus platforms, Cisco DWDM/ONS, and Enterprise wireless Solid experience with Cisco Unified Communications with 30,000+ endpoints and Super Clustering. Well versed and have considerable experience designing and/or managing complex IT environments. Ability to provide professional documentation (diagrams, specifications, technical requirements, and proposal content). Must be able to work well as part of a larger team and have strong interpersonal skills. Candidate must be comfortable presenting solutions in a clear and concise manner. Ability to work on several projects simultaneously and manage workload prioritization. Knowledge of Palo Alto FWs would be beneficial. MINIMUM YEARS OF EXPERIENCE 5 Year s

Dillard's, Inc. ranks among the nation's largest fashion apparel, cosmetics and home furnishings retailers with annual sales exceeding $6.3 billion. The Company focuses on delivering maximum fashion and value to its shoppers by offering compelling selections complemented by exceptional customer care. The Company comprises of nearly 300 stores, spanning 29 states, all operating with one name - Dillard's. We’re looking for an innovative, creative, data & technical expert with advanced knowledge in statistical modeling. This role reports into the Manager of Advanced Analytics and Strategic Testing who leads a team of highly motivated Statistical Data Analysts and Data Scientists. This is a great opportunity to mentor and lead Statistical Data Analysts on a truly exceptional team in this exciting and ever growing field to shape and create the best shopping and brand experience for Dillard’s customers. ROLES & RESPONSIBILITIES Work with Analytics Team and additional analysts within the organization to drive, shape and direct the practice of Data Science at Dillard’s Mentor/guide/lead Statistical Data Analysts in the design and execution of their specific analytic tasks Work with Marketing, Merchandising, and Operations areas to analyze current business trends, problems, and strategies to help provide actionable insights for the business including but not limited to visualizations, predictive/statistical models and business process supportive machine learning processes Identify and source data needed to build analytic datasets in support of analysis and modeling activities Utilize Machine Learning to detect trends and develop models that will deliver direct business solutions, especially focusing on solutions for large volumes of data Define metrics that will be used to measure and understand existing and new business processes Work directly with multiple levels of management to present results and recommendations from analysis REQUIRED SKILLS Master’s degree or its equivalent in Management Information Systems, Statistical Analysis, Applied Mathematics, or related field of study Strong understanding of Analytic infrastructures/environments 6 or more years of experience working with analytic software (e.g., SPSS Modeler, Teradata Warehouse Miner, R, Python) and performing data modeling, data mining, and exploratory data analysis (e.g., linear/logistic regression, ARIMA, Cluster Analysis) - applicable master level coursework and degree can be considered for up to 1 year of experience requirement Strong personal drive and motivation; entrepreneurial and excellent at time management Advanced SQL, Data Modeling for Analytics, Big Data management/concepts Strong command of statistical scripting/programming languages (R, Python, etc.) Strong knowledge and experience working with Machine Learning/Artificial Intelligence methodologies Excellent communication and organization skills Experience presenting to small and large groups of people, both technical experts and business executives Ability to adapt and manage multiple responsibilities in a fast paced Agile work environment A self-starter who is able to work both independently and as part of a team Comfortable interacting professionally with a diverse group, executives, managers, statistical data analysts, subject matter experts, and end users Ability to identify opportunities for improvement and lead change MINIMUM YEARS OF EXPERIENCE 5 Year s DESIRED SKILLS PH D in Management Information Systems, Applied Statistics, Applied Mathematics, or related field of study Strong understanding of Retail Business processes and Digital Marketing