Job Details

Manager of Personalization & Customer Analytics

Location NEW YORK , New York , United States
Category Human Resources
Job Opened April 27th, 2020
Education Bachelor's Degree
Job Number 200001V9
Job Type Full Time

job description

HBC Digital, New York, NY seeks Manager of Personalization & Customer Analytics - Utilize advanced data mining and data manipulation techniques to collect, extract, and interpret large volumes of marketing data and conduct complex and detailed analyses of such data in order to study the performance and effectiveness of marketing programs and strategies using SAS Programming including Data steps, Macros and statistical models and utilizing SQL Skills with Oracle, Teradata, Postgre and SparkSQL R / Python Programming for analytics and data science including dataset processing, statistical analysis, and data visualization in R and use of Pandas, NumPy and PySpark in Python. Apply statistical methodologies and analytic techniques on enterprise CRM, transaction and web browsing data to analyze customer behaviors and preference for creating and optimizing omni-channel marketing strategies, and to support business decisions with stakeholders for all retail banners, including Saks Fifth Avenue and perform customer segmentation and profiling and Personalization strategy and application. 

Devise and evaluate methods for collecting and analyzing customer behavior data. Identify key marketing data sources and facilitate the timely collection and validation of customer behavior data for modeling and working with data framework and platforms, including relational databases Oracle, Teradata and Aster and Cloud-based environment AWS/EMR/S3, utilizing quantitative research and statistical and data mining techniques, including hypothesis testing, experimental design, Naive Bayes classifier, clustering using K-means and KNN, predictive modeling using logistic regression, time series and decision trees. Independently build, execute and automate daily personalized triggered email programs to re-engage customers on different touchpoints, including but not limited to Abandoned Cart alert, Browse Abandoned item reminder and Price Drop alert. Develop and build customer affinity model(s) to understand customers’ favorite brands/sub-categories and discover associated brands/sub-categories that customers may like, powered by the completion of market basket analysis. Apply the brand affinity model to brand-level product recommendation in triggered email series, including but not limited to, New Arrivals products in favorite brands and Price Drop alert in favorite brands. Design and implement an A/B test as a method of comparing two versions of a webpage or application against each other to determine which one performs better, and includes the application of statistical hypothesis testing or "two-sample hypothesis testing" for statistical analysis purposes to evaluate email program performance in order to see if the program has statistical significance on incremental conversion and incremental revenue. Develop and implement a method to integrate online and offline transaction data as well as recent website browse data, and then build and optimize predictive models (logistic regression based) in order to predict customers’ shopping propensity so as to improve targeted marketing and promotional strategies. Partner and communicate with internal and external teams in the delivery of analysis and market research, and in the provision of training. Develop internal benchmarks and deliver prepared market research and data analysis documentation for solutions implementation to the appropriate Banner Marketing teams and/or Analytics group. Manage relationships and liaise with Data Service, Marketing and third-party vendors to facilitate the development and implementation of a marketing data pipeline and applications into data-driven marketing projects and partnerships. Oversee vendor relationships and strategies, including vendors onboarding, facilitate conversations among vendors, provide data pipeline support, test and pilot on vendor platforms with other business stakeholders, organize and hold training sessions for Digital Marketing teams to enable automation of CRM-based marketing events evaluate vendor service and business contribution working with digital marketing channels and web analytics including Google Analytics and Adobe Omniture. Govern and administer the current analytics perform in areas of user security management, system performance and integrity, user experience, version control, training and documentation performing SAS programming, utilizing SQL Skills with Oracle, Teradata, Postgre and SparkSQL. Partner with Data Engineering and AI team to build new cloud-based machine learning/data science environment working with data framework and platforms, including relational databases Oracle, Teradata and Aster and Cloud-based environment AWS/EMR/S3. Provide innovative data-driven strategies for digital media channels, implement key initiatives for client acquisition and retention at all marketing channel touch points working with digital marketing channels and web analytics including Google Analytics and Adobe Omniture. Serve as a strategic business leader to facilitate processes/programs cross-functionally and across the organization for special business projects. Lead, develop, and motivate the team in the development of comprehensive project plans and data analysis outlines and throughout execution and prepare providing data analysis and marketing training to any future new hires. Set culture of strategic and innovative thinking by teaching and mentoring associates. Perform work within the fashion and luxury goods industry.
Requires Masters (or foreign educ. equiv.) Degree in Market Research, Marketing, Marketing Analytics or related Marketing field and Three (3) yrs. exp. in Job Offered or related occupation.
Alternatively, will accept Bachelor’s (or foreign educ. equiv.) Degree in Market Research, Marketing, Marketing Analytics or related Marketing field and five (5) yrs. (post-degree, progressive) exp. in Job Offered or related. Experience must have included Performing SAS Programming including Data steps, Macros and statistical models, utilizing SQL Skills with Oracle, Teradata, Postgre and SparkSQL; R / Python Programming for analytics and data science including dataset processing, statistical analysis, and data visualization in R and Use of Pandas, NumPy and PySpark in Python; Utilizing quantitative research and statistical and data mining techniques, including hypothesis testing, experimental design, Naive Bayes classifier, clustering using K-means and KNN, predictive modeling using logistic regression, time series and decision trees; Working with data framework and platforms, including relational databases Oracle, Teradata and Aster and Cloud-based environment AWS/EMR/S3; Working with digital marketing channels and web analytics including Google Analytics and Adobe Omniture; and Perform customer segmentation and profiling and Personalization strategy and application. 

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