Python Developer Parttime Jobs in North Carolina

Ref #
5581661
State/Region
North Carolina
Department
Strategic Planning & Business Development
Location
United States
City
Kernersville
COMPANY DESCRIPTION
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.
POSITION OVERVIEW
Ralph Lauren Corporation seeks Senior Analytics Analyst - Logistic Data & Analytics in Kernersville, NC to act as core individual contributor in cross-functional projects that drive new analytical capabilities through data-driven decision-making processes & outcomes. Develop solutions that allow for collection, processing, and analysis of logistics data across various cloud platforms, ensuring data security, compliance, and accessibility. Utilize cloud-based analytics and predictive modeling to identify trends, while optimizing logistic operational capabilities. In partnership with leadership, help in evaluating & implementing the latest analytics tools and technologies, prioritizing cloud-based solutions that offer scalability, reliability, and real-time data processing capabilities. Act as core liaison between the Global Logistics function and other business units, ensuring alignment on analytical strategic initiatives. Directly contribute to the development & direct integration of cloud technology solutions within the logistics and supply chain functions, ensuring they are leveraged to their full potential for analytics and decision-making. Provide off-hours support for EMEA and APAC to ensure business reporting uptime & proper SLA's are met - on call on weekends and holidays. Part-time telecommuting permitted. Must be in office 3 days per week.
LOCATION:
2755 NC-66, Kernersville, NC 27284
SALARY:
$82,160 - $105,000/yr.
REQUIREMENTS:
Bachelor's degree or equivalent in Information Systems, Information Technology, Supply Chain Management, Engineering, or a closely related field and 3 years of experience in the position offered or closely related. Must have 3 years of experience with all of the following: driving complex solutioning & delivery of analytics solutions through scalable reporting automation with minimal supervision; experience with SQL & Python knowledge with demonstrated use of common BI Visualization Platforms such as QlikSense, MicroStrategy, Tableau, Power BI, or similar reporting tools; and Project management (including prioritization and organization) with experience helping leadership influence key business stakeholders to drive positive outcomes. Must have 2 years of experience with all of the following: cloud based analytical platform implementations & capabilities (such as Azure, AWS, or GCP); leveraging cloud-based integration technologies for ETL/ELT process & data transformation; modern cloud-based solution architecture data platform concepts; and Microsoft Office, WMS, and relational databases and ERP systems including SAP.
SUBMIT RESUME OR CONTACT:
Apply at https://careers.ralphlauren.com/, job Ref#5581661.
EXPERIENCE, SKILLS & KNOWLEDGE
Ralph Lauren will consider for employment qualified applicants with arrest or conviction records in a manner consistent with the requirements of the law, including any applicable fair chance laws. Please note background checks will be evaluated individually.