Senior Personalization Analytics Analyst (Remote)

Key Skills

Apache Hadoop, AWS, Azure, C++, Cloudera, Data science techniques, Effective communication skills, Github, Google Cloud Platform (GCP), Java Programming, Jupyter Notebook, Machine learning techniques, MapReduce, Python Programming, RDBMS, Tableau, Teradata

Job Description

Lead the development, testing and curation of statistical and machine learning models to inform and support customer strategy within marketing. This role focuses on providing analytical and technological support and consultation to key partners within the marketing organization, ranging from the executive level to our strategy teams. In addition, this person may lead the co-development of marketing technologies with our IT teams.

ACCOUNTABILITIES 

LEAD DEVELOPMENT OF MODELS AND ANALYTICS TO INFORM EXECUTIVE LEVEL CUSTOMER STRATEGY

• Construct and curate datasets for model features
• Develop the methodology for model creation, testing, execution, and maintenance
• Manage each project and code base in Github

SERVE AS ADVOCATE TO TECHNOLOGY TEAMS ON JOINT MARKETING AND IT PROJECT

• Lead working groups and participate in steering committees with our IT partners
• May lead UAT testing
• Provide project communications to Marketing leaders

ACT AS A PRIMARY RESOURCE FPR INTERNAL MARKETING CONSULTATIONS ON ADVANCED TECHNOLOGICAL, STATISTICAL AND ANALYTICAL INQUIRIES

• Cultivate meaningful relationships with our business partners
• Define analytical and reporting requirements with partners
• Respond to most complex inquiries with actionable insights and advice
• Deliver technical capabilities to partners
• Create dashboards or decks to provide recommendations
• Provide high level data driven insights that confirm or refute our partner’s hypothesis

ADVOCATE FOR INNOVATIVE MARKETING TACTICS THROUGH TECHNOLOGICAL ADVANCEMENTS IN PLANNING AND EXECUTION

• Provide guidance to Marketing leaders on investments in technology
• Demonstrate the ROI of technological advancements via proof on concept projects

QUALIFICATIONS

REQUIRED

• Bachelor’s Degree in relevant field
• Experience coding in general purpose languages, e.g. Java, Python, C++
• Experience developing, testing, and curating statistical and machine learning models
• Experience using traditional RDBMS, e.g. Teradata, MSSQL Server
• Experience using cloud offerings, e.g. Azure, AWS, GCP
• Experience using software version control, e.g. Github
• Experience using any flavor of the Apache Hadoop Framework, e.g. Hortonworks, Cloudera, MapR
• 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 experience with data visualization technologies such as Jupyter Notebooks, R Shiny, and Tableau

PREFERRED

• Master’s Degree or Ph.D in the hard sciences, computer science, engineering or other applicable field
• 4+ years of relevant Data Science, Applied Mathematics, and/or IT experience