Director, Marketing Analytics / 10739 Job in New York 10017, New York US

Director, Marketing Analytics / 10739

A Proud Tradition
From the moment we opened our doors on September 15, 1924, Saks Fifth Avenue has been more than a world renowned shopping emporium, more than an international fashion authority: it has been a cultural phenomenon. We are an icon of the New York City landscape that remains equally present in the hearts and minds of people all over the world. We love to help people look good and feel great! Our purpose reaches way back to the very essence of our brand: to set the standard for the most exceptional and fulfilling retail experience.

Ambassadors of Style
At Saks Fifth Avenue, a gentle manner, careful consideration of others and an ability to assess customers’ needs are an absolute necessity. Our Associates bridge the gap between strangers by approaching every customer as a potential friend. To be chosen to work at Saks is to be given an important responsibility: The fulfillment of our customers’ dreams. In an ever-evolving world, that is our unchanging promise.

What Sets Us Apart?
Our high-performance Associates' skill, enthusiasm and commitment to making people look good and feel great.

Position Description:

Multi-channel retailer seeks experienced Database Analytics Professional to provide in-depth analysis of the Company's business results and consumer behavior to improve sales, profitability and customer value.

  • Responsible for leading all execution of all analytics related to database mining, marketing research, web analytics and A/B testing to maximize profitability, drive customer loyalty, and optimize promotional strategies for Saks Direct.
  • Determine Analytics Project Roadmap to drive revenue for saks.com

    • Identify strategic online trends and actionable customer insights based on a clear understanding of business objectives - retention, acquisition, purchase frequency, cross-shopping, profitability, etc.

    • Analyze multi-channel results of online programs and customers.

  • Partner with all marketing channel leads (Acquisition and Retention) to determine retention initiatives, remarketing strategies, acquisition strategies and ensure promotional strategies are optimized.
  • Responsible for managing and developing Saks Direct Analytics team.
  • Responsible for ensuring all analytics tools are best in class – database, web analytics tool, market research vendor and AB testing platform. Additionally, own all vendor and partner relationships for each area.
  • Analyze relevant data and generate reports/presentations that provide actionable insights and identify growth opportunities.
  • Creating and analyzing dashboard reports for tracking of business results, database management and ensuring data integrity (Perform extensive data quality / data analysis to ensure integrity of database for business use.)

    Other Key Responsibilities:

  • Data mining analyses – customer profiling and segmentation, purchase cycle and churn analysis, and cross-shop and category-affinity analysis.
  • Weekly/monthly reporting – including but not limited to, promotion results and customer counts and attributes.
  • Web analytics – analyze customer browse data to optimize marketing strategies, such as email segmentation and remarketing tactics.

    Qualifications:

  • A bachelor’s degree, preferably in Business, Marketing or a quantitative field like Economics, Mathematics or Statistics. MBA or Masters in Statistics a plus.
  • 7 - 10 years of experience in marketing analytics and database marketing.
  • Experience managing and developing a analytics team
  • Strong experience with CRM systems and relational databases a must!
  • Experience with command-line statistical analysis software (e.g. SAS or R) or with a high-level programming language (e.g. C++, Java, Python, VB, etc) to analyze, manipulate data, investigate data problems, develop and modify reports required
  • Strong Microsoft Excel skills. Ability to code macros in VBA a plus.
  • Proven ability to apply findings to business problems to lift revenue and profits.
  • Deep knowledge of web analytics packages (e.g. Omniture, Visual Sciences, Coremetrics or Google Analytics).
  • Additionally, candidates must excel in the following areas: strategic thinking, analytical problem solving, organization, project management, presentation skills, and interpersonal, verbal and written communication. Strong data interpretation and ability to summarize complex findings clearly and concisely
  • Self-motivated, proactive, disciplined, fast learner. Highly flexible and adapts well to a rapidly changing environment. Must be detail-oriented