Address
Form of work*This is a hybrid role with three weeks per month onsite (Mon – Thurs).
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.
As a Data Analyst, you will be responsible for creating and maintaining reports, dashboards, and other data visualization tools used to communicate findings to supporting areas within the Lands’ End Outfitters Division. This position engages in developing various business tools and reports to support initiatives across the division’s key functional areas, while also looking for trends and patterns to help improve business operations. Assignments are generally in the form of broad outlines of desired results and objectives with general guidance. This role requires experienced judgment, the ability to carry out assignments independently, and being able to work in a fast-paced, deadline-driven environment.
Responsibilities
- Collaborate with cross-functional teams to understand business needs and requirements for reporting and analysis while being the subject matter expert.
- Facilitates the development of effective business reporting for the division while also identifying opportunities for process improvements and automations to increase efficiency and effectiveness of reporting.
- Develop and implement data quality checks to ensure accuracy and consistency of data.
- Assist with the design, development, and deployment of technology improvements.
Qualifications
- Bachelor's degree in a related field such as Data Analytics, Finance, or Business
- 2+ years of experience in data analysis, dashboard and report building, or business intelligence
- Advanced proficiency in Microsoft Excel, Microsoft Access, and SQL
- Experience with data visualization tools such as Tableau, Power BI, or QlikView
- Strong attention to detail, accuracy is critical
- Knowledge of database design, data warehousing principles, and the ability to work with large complex datasets
- Excellent prioritization, multi-tasking, and organizational skills.
- Excellent interpersonal, written, and verbal communication skills.
- Ability to communicate to both technical and non-technical audiences effectively.
Preferred Skill
- Retail background - product process and an understanding of how data defines process points
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