People are the heart of our company, and our doors are open to everyone. As a customer, as an employee – we are committed to creating an inspiring culture that is welcoming, safe and inclusive for all. Our strength in work and life comes from the combination of our experiences, backgrounds and talents. It’s what we do as people that makes Lands’ End a great place to shop and a great place to work.

We are looking for a savvy Data Engineer to join our growing team of analytics and data science/engineering experts. You will be responsible for supporting marketing-related executive reporting, data requests, converting existing processes to open source technologies and playing an important role in data governance at Lands’ End.

In addition, as a key member of our data engineering team, you will support the team’s data scientists and data analysts on data initiatives. You are self-directed and comfortable supporting the data needs of multiple teams, systems and products. In addition, you would be excited by the prospect of optimizing or even helping re-design the company’s data architecture to support next generation architectures and processes.

To help with your efforts, you can expect a comprehensive technology stack, very talented co-workers, an AWS-based analytics environment with a comprehensive array of on-line and off-line data and a data science team developing algorithms to enhance business performance and the customer experience using agile development processes. Because of its dedication and efforts, Lands’ End is #19 on the NRF’s list of fasting growing retailers and an Internet Retailer top 100 company and a great part of your future.

Responsibilities

• Creating code for production and ad hoc reports, analysis, analytics and data requests using open source technologies
• Design effective visual interfaces using BI technologies riding atop your custom data structures
• Consult with business leaders using data and analysis as the foundation of your guidance and recommendations
• Automate business processes
• Be a key member of the data governance process while ensuring data quality and relevance
• Assemble sometimes large, complex data sets that meet business requirements
• Build analytics tools that utilize the data pipeline to provide actionable insights into customer acquisition, operational efficiency and other key business performance metrics
• Create data tools for analytics and data scientist team members that assist them in building and optimizing our product into an innovative industry leader
• Support the marketing efforts of ecommerce, email, catalog, merchandising, retail and market research
• Share technical knowledge and mentor other staff members within broader analytics and e-commerce communities

Requirements

• Experience in a Data or Reporting Engineering role and attained a BS in Computer Science or related field. Applicable graduate work a plus.
• 4+ years of advanced SQL knowledge and experience working with relational databases, complex query authoring (SQL), query debugging, as well as working familiarity with a variety of databases. Must have demonstrated experience in various joins, use of subqueries, use of join keys, where filters and joining multiple tables.
• 2+ years of strong Python skills and experience; PySpark experience a plus
• Experience and skill with data visualizations and creating presentation layers with BI technologies. Experience with open source BI tools a plus.
• To assist in conversions and process upgrades, it would be very advantageous to be familiar with base SAS programming, including SAS macros, Proc SQL, SAS’ Output Delivery System (ODS) and MS Access
• Strong MS Excel skills
• A passion for data – understanding its sources, uses, strengths and weaknesses. An understanding of the principles around effective data governance in a corporate environment and a knack for data quality
• Able to set clear and comprehensive requirements and communicate clearly in both speaking and writing
• Items that would be a strong plus: Spark, Cloud experience (AWS a plus), strong Linux skills, Postgres/Netezza, experience with MS SQL Server
• Experience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement
• Strong project management and organizational skills

Equal Opportunity Employer/Protected Veterans/Individuals with Disabilities

The contractor will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with the contractor’s legal duty to furnish information. 41 CFR 60-1.35(c)