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Kohls: Big Data Customer Insights Analyst


Structure, process, and analyze high volume, high velocity, or other resource intensive data to support insight to influence marketing business decisions.



Kohls At: Kohls
Location: Menomonee Falls, WI
Web: www.kohls.com


_Contact_:
Email to Rebecca Galko, Sr. Recruiter Rebecca.Galko@kohls.com

POSITION OBJECTIVE
Structure, process, and analyze high volume, high velocity, or other resource intensive data to support insight to influence marketing business decisions. Responsible for ingestion, storage, consumption and delivery processes for complex, large-volume, multivariate, batch and real time data sets used for modeling, data mining, and research purposes.

PRIMARY RESPONSIBILITIES
  • Design and implementation of data ingestion techniques for real time and batch processes for data into Hadoop (or similar) ecosystems and HDFS clusters
  • Manage resources, including people and tools to deliver insight to business owners
  • Drives operational excellence through standardization of agreed upon best practices
  • Monitor Key Performance Indicators on a regular basis
  • Work with internal business customers to define analysis and reporting requirements
  • Performing data studies and data discovery routines for a variety of data sources or mash ups of new and existing data sources
  • Combine quantitative data with practical insights
  • Creates actionable insight and understanding, through the analysis of both quantitative and qualitative data, building recommendations that directly address business objectives.
  • Measures effectiveness of improvements through deep analysis of data on performance metrics striving for cost effective high quality improvements
  • Visualize and report data findings creatively in a variety of visual formats that appropriately provide insights to the organization
  • Draw conclusions, provide consumer insight, and make recommendations based on strategic understanding of the data collected through analysis of business intelligence
  • Carries out post-event analysis to validate forecast assumptions and identifies all additional factors associated with the change
  • Use a variety of reporting tools to produce marketing insights
  • Motivate team members to provide recommendations in a quick, accurate fashion

 
QUALIFICATIONS

required
  • 4+ years of relevant analytics and/or information management experience
  • Experience designing and implementing reporting and visualization for unstructured and structured data sets
  • Experience designing and developing data cleansing routines utilizing typical data quality functions involving standardization, transformation, rationalization, linking and matching
  • Knowledge of data, master data and metadata related standards, processes and technology
  • Experience working with multi-Terabyte data sets
  • Hands-on working experience with Big Data technologies like Hadoop, Mahout, Pig, Hive, HBase, Sqoop, Zookeeper, Ambari, MapReduce and R.
  • Experience working with commercial distributions of HDFS (Hortonworks, Cloudera, Pivotal HD, MapR)

 
preferred
  • Experience with Data Integration on traditional and Hadoop environments
  • A demonstrated ability to establish and maintain strong working relationships and achieve results by working collaboratively with others
  • Ability to work in a rapidly changing environment while prioritizing and managing multiple tasks
  • Strong oral and written communication skills, including presentation skills (MS Visio, MS PowerPoint).
  • Experience in Information delivery, Analytics and Business Intelligence based on data from

 
special requirements

Communication; Leadership; People Development; Collaboration; Attention to detail; Critical thinking; Innovation; Retail Knowledge; Customer-centric perspective; Data / Technology / Business Translation; KPI Definition; Research; Campaign planning; Offers / promotions; Segmentation; Targeting; Customer acquisition; Customer retention; Real time offers; Performance reporting; Big Data; A/B testing; Test Cell Design; Experimental Process Design; Advanced Analytics; Predictive modeling; Propensity modeling; Multivariate testing; Cluster Analysis; Conjoint Analysis; Linear / Non-linear Regression; Probability Distributions; Statistical Decision Trees; Time Series Analysis; Data Management Platform (DMP); SQL; SAS; Hadoop

This describes general information about the position however should not be considered comprehensive. Our company reserves the right to modify job duties or descriptions at any time. This is not an employment contract.