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*This is a hybrid role with three weeks per month onsite (Mon - Thurs). Fridays are remote, and the fourth week of the month is remote.

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 redesign 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 online and offline 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 1000 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 at Lands' End 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

Qualifications

• Experience in a Data or Reporting Engineering role and attained a BS in Computer Science or related field. Applicable graduate work is a plus.
• Advanced working SQL knowledge, and experience (~ 4+ yrs) 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 and where filters, and joining multiple tables.
• Strong Python skills and experience (~ 2 yrs +), with PySpark experience a strong plus
• Experience and skill with data visualizations and creating presentation layers with BI technologies. Experience with open source BI tools is a plus.
• 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)

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