Salary Range $100,000 - $130,000*
Job Description:
Who We Are:
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 dcor 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:
The analytics team is responsible for enabling data driven decisions throughout the marketing organization. As a member of the analytics team, you will be expected to be a subject matter expert in all things data, particularly around customers, their interactions with Saks, the products they purchase and the machine learning models that predict customer's interest in Saks.
In this role, you will be part of a team that leverages data science outcomes to drive automated personalization across owned media channels, test ideas within email marketing campaigns and measure results. You will be responsible for supporting your team with ensuring stable program performance including management of production use cases and issue resolution.
Personalized marketing is an always on strategy and highly customer facing. To be successful in this role,you are someone who is highly motivated about driving operational excellence, identifying ways to stabilize production pipelines and have high attention to detail.
In this role, you will play a crucial role in the monitoring and optimization of automated personalization programs. You'll act as the operational owner of our home-grown Email/SMS/APP trigger programs, vigilantly alerting stakeholders to issues and ensuring that production SLAs are consistently met. Your prime objective is to drive operational excellence.
You will represent the interests of Saks customers in cross-functional teams, working closely with data engineers, data scientists, and the MLops team to merge model insights with our operations, thus boosting customer engagement and expanding our capabilities.
The ideal candidate excels in meeting high standards and navigates effectively among diverse internal teams. With your proficiency in SQL and Python, you will use advanced analytics and data science in marketing, eagerly adopting new technologies to enhance and automate marketing efforts.
Key Responsibilities:

• Manage the CRM & Personalization initiatives, being on-call to respond to urgent alerting and monitoring needs.
• Design, execute, and evaluate A/B tests for various marketing campaigns to meet operational KPIs.
• Serve as the operational expert behind Saks' personalization program architecture.
• Collaborate with data science and MLOps team to integrate ML models and algorithms into
• customer-facing marketing campaigns
• Work with MLops and Data engineers to improve the efficiency of automated marketing campaigns
• Develop and launch new personalization campaigns in alignment with business requirements,
• ensuring they are scalable and efficiently integrated into existing systems.
• Undertake ad-hoc analytics tasks to provide stakeholders with insights for decision-making.
• Stay abreast of new technologies and methodologies to continually enhance operational
• processes

Key Qualifications:

• Bachelor's degree in a quantitative field like Economics, Mathematics, Statistics, or a business
• discipline such as Marketing or Finance. An advanced degree is a plus.
• 1~2 years of experience in marketing analytics or data science with a pronounced operational
• emphasis.
• Experience managing large datasets.
• Proficiency in SQL, Python/Pyspark, and familiarity with Airflow, Snowflake, GitHub, among other
• technologies.
• Demonstrated a history of contributing to operational improvements. Strong attention to detail in
• an environment that requires extensive multi-tasking and multiple deadlines.
• Solid understanding of statistics, experimental design, hypothesis testing, and structured learning
• from an operational viewpoint.
• Self-motivated and accountable, with a commitment to operational success.
• Strong communication skills to articulate data-driven operational insights.

Your Life and Career at Saks:

• Exposure to rewarding career advancement opportunities, from retail to supply chain, to digital or corporate.
• A culture that promotes a healthy, fulfilling work/life balance
• Benefits package for all eligible full-time employees (including medical, vision and dental).
• An amazing employee discount

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.