Saks is a world-renowned luxury ecommerce destination. The company’s unique approach combines a focus on the digital customer experience with a strong connection to a network of extraordinary stores that extends that seamless experience into the real world.
On its website and app, Saks offers an unparalleled selection of curated merchandise across fashion for women and men, beauty, jewelry, home décor and more. In addition to the shopping experience, customers come to Saks for inspiring editorial content, access to digital stylists, lifestyle experiences and other world-class services. The company is currently in the midst of a dramatic expansion, driven by significant enhancements to its platforms and offerings, with the goal of becoming the preeminent destination for luxury internationally.
Role Summary
As a BI Engineer on the Analytics Engineering team you will utilize your excellent technical skills to help us build a scalable Tableau platform. Your strong passion for data will help our business partners adopt Tableau for dashboards and visualizations to derive valuable business insights and eliminate technical and economic constraints from legacy BI tools.
Key Qualifications
Proven experience supporting enterprise BI platforms, Tableau preferred.
SQL power user (e.g., query optimization, CTEs, materialized views, windowing functions etc.)
5+ years of experience in related analytical or data engineering fields
Experience with dashboard building and optimization in visualization / business intelligence platforms like Looker or Tableau
Exposure to DBT or similar analytics workflow tools
Experience with cloud data platforms ( Snowflake preferred)
Experience with data governance (e.g., defining procedures, establishing change management policies etc)
Bonus points for exposure to AtScale modeling
Role Description
Manage and maintain enterprise Tableau environment including configurations and visualizations while utilizing a secondary tool for its semantic layer
Own associate Tableau implementation by creating set user permissions, data governance and best practices
Mentor team on best practices through documentation, collaboration, training, and PR reviews
Manage Tableau authentication and authorization
Design and develop reports and dashboards required by business partners, ensure that dashboards are designed with permissions in mind
Assist analysts, business users, and citizen data scientist with all BI tools
Work with Analytics Engineers and DataOps to develop data pipelines and model required data sets
Support Migration efforts from legacy BI tools
Your Life And Career At Saks
Be a part of an entrepreneurial team hyper focused on massive growth
Convenient and collaborative modern offices in Lower Manhattan with onsite perks
Benefits package for all eligible full-time employees (including medical, vision and dental)
An amazing employee discount
Thank you for your interest with Saks. We look forward to reviewing your application.
Saks provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability or genetics. In addition to federal law requirements, Saks complies with applicable state and local laws governing nondiscrimination in employment in every location in which the company has facilities. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training.
Saks welcomes all applicants for this position. Should you be individually selected to participate in an assessment or selection process, accommodations are available upon request in relation to the materials or processes to be used.
Saks.com is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.
The above expected salary range may have some variability based upon factors including, but not limited to, a candidate’s overall experience, qualifications, and geographic location. If you are interested in the role, we encourage you to apply and, if selected to move forward in the interview process, you will have a chance to speak with our recruitment team regarding your specific salary expectations.
Seniority level
Mid-Senior level
Employment type
Full-time
Job function
Research, Analyst, and Information Technology
Industries
Technology, Information and Internet
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