Analyst , Planning Application Full Time NEW

Ralph Lauren Corporation (NYSE:RL) is a global leader in the design, marketing and distribution of premium lifestyle products in five categories: apparel, accessories, home, fragrances, and hospitality. For more than 50 years, Ralph Lauren’s reputation and distinctive image have been consistently developed across an expanding number of products, brands and international markets. The Company’s brand names, which include Ralph Lauren, Ralph Lauren Collection, Ralph Lauren Purple Label, Polo Ralph Lauren, Double RL, Lauren Ralph Lauren, Polo Ralph Lauren Children, Chaps, among others, constitute one of the world’s most widely recognized families of consumer brands.

At Ralph Lauren, we unite and inspire the communities within our company as well as those in which we serve by amplifying voices and perspectives to create a culture of belonging, ensuring inclusion, and fairness for all. We foster a culture of inclusion through: Talent, Education & Communication, Employee Groups and Celebration.

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Ralph Lauren is embarking on a multi-year Transformational journey to IBP(Integrated Business Planning) which will reinvent the way we work by leveraging our talent and creativity with the latest innovations, lean processes, data driven & implementing modern technologies.

The Program will consist of COE teams across multiple Functions of Planning mainly Demand Planning/Supply planning/Merchandise Financial Planning along with Assortment Planning & Space Planning . It will be a close collaboration with Data Analytics Team.

This role is responsible for Developing & Supporting the Entire Integration flow assisting Planning team on our Digital Transformation.

Primary focus of this role is centered on managing the Data flow and roll-out of the O9 Application that will connect with Riversand, PLM and SAP (multiple Upstream & Downstream) systems.

The teams will look to leverage key existing technologies at RL in PLM, SAP while implementing potential new SAAS technologies O9.

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• Review and analyze the data provided by the customer along with its technical/functional intent and interdependencies.
• Data Management: Oversee and manage intricate project tasks, providing insights and directions related to advanced data ingestion, transformation, validation, and publishing
• Engage proactively with functional teams, ensuring a thorough understanding of end-to-end data flows as related to the technical integration.
• Build data Ingress or Egress pipelines, handling huge volume of data and developing data transformation functions using languages such as SSIS, Python, Pyspark, SQL etc.
• Integration of various data sources definitions like Teradata, SAP ERP, SQL Server, Oracle, Sybase, ODBC connectors & Flat Files through API or Batch.
• Production Deployment and Hypercare: Assist with Production Deployment tasks; Assists with triage of issues, testing and identifying root cause; Carry out timely response and resolution of batch automation disruptions, in order to meet customer SLA’s with accurate and on-time results.
• Incorporate o9 ways of working and embed the industry standards for smoother project executions.

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• Bachelor’s degree in Computer Science, Mathematics, Engineering, or related field.
• 3-5 years experience in Data architecture, Data engineering, or a related field, with a strong focus on data modelling, ETL processes, and cloud-based data platforms.
• Hands-on experience with Python, PySpark, SQL languages along with workflow management tools like Airflow, SSIS.
• Experience working with Parquet, JSON, Restful APls, HDFS, Delta Lake and query frameworks like Hive, Presto
• Advanced working SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases
• Working experience with version control platforms, e.g. GitHub, Azure DevOps & Familiarity with Agile methodology
• Proactive mindset and the right attitude to embrace the agility of learning with Excellent verbal and written communication skills
• Strong problem solving, collaboration, communication and presentation skills; ability to effectively interact with team members and cross functional partners
• Ability to effectively multi-task, prioritize and adapt in a fast-paced, dynamic business environment
• Must be self-motivated/self-starter in a fast-paced environment with the ability to work independently and within a team
• Experience working with an Agile methodology is a plus
• Experience with Retail industry and master data is a plus