Insight Analyst

Company Name:
ServPartners
Our client is a global retailer pushing the boundaries in the analytics space. Be part of a team that is growing, constantly evolving, and offers an amazing working environment with outstanding perks.
Overview:
This position will provide customer insight to the organization through analysis, research, modeling and data mining.
Responsibilities:
Provide analytical support to the organization and its marketing groups in order to improve marketing efforts and decision making by leveraging data mining tools and analytical methodologies
Assist in data modeling and analysis to determine key customer insights, drive business strategies, and maximize ROI
Assist in advanced quantitative methods to perform market basket analysis, segment customers, and evaluate promotions for effectiveness and efficiency
Assist in development, maintenance and enhancement of statistical models to generate incremental sales
Use statistical tools and techniques to extract and analyze trends from the customer database warehouse
Manage marketing research projects
Prepare and deliver presentations
Experience in deep dive analysis and applying analytic techniques to customer/consumer behavior data to determine key customer insights, drive business strategies and maximize ROI
Operationalize customer segmentation strategies, event triggered emails and other business processes into production using SAS with combination of other analytics tools/languages
Conduct multi-channel deep dive analysis for online and offline contexts using mobile phone/tablet/PC/offline browsing and purchase data
Requirements:
1-3 years experience in a business analytics role (Master's Degree can be sufficient)
Knowledge of SAS required
Knowledge of R preferred
Bachelors degree in a quantitative discipline (Statistics, Applied Mathematics, etc) or sufficient on the job use of related skills. Masters degree is a plus.
Strong quantitative skills
Experience in applying advanced multivariate techniques including logistic regression, regression, factor analysis, discriminant analysis, cluster analysis and ANOVA
Experience using SQL, Business Objects, Oracle and other query tools on large databases
Understanding of relational databases
Strong presentation and communication skills
Exceptional standards for quality and strong attention to detail
Retail Experience is a plus
analyzing and pulling data within SAS

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