Saturday, November 26, 2016

Director Analytics Decision Science Westfield Los Angeles

Job Description: • 2-minute read •
The Director of Analytics - Decision Science within the B2C team will be part of a greenfield opportunity, responsible for developing products and drawing actionable insights through data mining, machine learning and extracting intelligence for business opportunities and help guide business decisions.
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The Director will be responsible for managing a team of decision scientists, working with other team members within and outside of Enterprise Data and Analytics, and the SVP of B2B/B2C in building digital and data products. We are looking for candidates who are passionate about analytics, with great teamwork and collaboration skills, and who are excited by the opportunity to be part of a team that is building and shaping Westfield’s analytic capabilities.

Key Responsibilities:
Demonstrated track record in creating compelling digital products and offerings to consumers by identifying met and unmet needs of consumers via interaction data.
Subject matter expertise in direct consumer life-cycle management (e.g., target, prospect, acquire, engage, loyalty)
Experience with analytics/BI tools, CRM tools, Databases, Web Measurement Tools. Firm understanding of data management including integration with other systems (profiles, transactional, CRM, data warehouse).
Successful track record of managing expectations on an innovation driven agenda and achieving results.
Delivery of high quality data-driven business analyses, empirically derived analytic models and strategies that address business issues, provide key insights leading to actionable recommendations.
Design and develop data products that address internal and external business needs using BI tools such as Tableau as well as analytic tools/languages such as SAS, R and Hadoop.
Explore multiple data sources, internal and external, for analyses
Translate business problems into analytical framework, develop and deliver on analytic design
Execute on the project plan in a timely manner with appropriate data mining techniques. Strong project management experience with ability to manage multiple analytics requests and priorities at the same time.
Work with multiple business stakeholders to understand critical business problems and areas of opportunity, influence to implement recommendations.
Manage and execute projects independently; guide and mentor junior team members as needed. Work with cross-functional and global teams to deliver on these projects
Champion the use of data-driven decision-making.
Preferred Qualifications
Knowledge of varied machine learning techniques, empirical modeling using parametric and non-parametric modeling.
Big data processing and manipulation in SAS, R or Hadoop
Strong problem solving skills with demonstrated rigor in analyzing data
Innovative thinker with intellectual curiosity, with an eye to developing new solutions and tools
Strong collaboration skills, clear team player, can-do attitude
Strong excel and PowerPoint skills
Strong verbal and written communication skills, as required to deliver an analysis end to end
Experience with structuring data and models, and drawing insights from data
Experience visualizing data in tools such as PowerPoint, Tableau
Detail oriented, deliver with the highest quality
Strong multi-tasking skill- Innovative thinker, with an eye to developing new solutions and tools.
Education
Graduate degree in a quantitative field such as Mathematics, Operations Research, Statistics, Economics, Computer Science or Engineering
15+ years’ experience in an analytical environment with advanced analytic rigor including modeling, performing business analyses, generating data-driven insights and presenting them to stakeholders.
Management experience for 5+ years
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