Ken N.

About Ken N.

I am an accomplished data science, analytics and engineering executive who has provided extensive technical and business leadership throughout my career. This has been demonstrated across numerous successful cross-industry and cross-function machine learning, data science and engineering, business intelligence and analytics implementations, all with the goal of leveraging fact-based insight and analytics to further transform and develop strategic decision-making, customer engagement and retention, operational and spend-related efficiencies.I have extensive experience with the data and analytics engineering life cycle in all stages,(data pipelines, modelling and architecture, business intelligence, data science, and advanced analytics) including stakeholder engagement, conceptual development, tool selection, architectural design, business direction and vision, product ownership, requirements gathering, design, implementation, and management.I have also maintained a strong focus on keeping my hands-on knowledge and skills contemporary which has resulted in a broad and comprehensive knowledge of all major cloud, database, analytic and business intelligence tools/platforms.I have directly managed teams of various sizes that have been a combination of local and globally dispersed groups.Specialties: • Overall data strategy, data science and engineering, analytics design and implementation• Stakeholder Management and Engagement• Data engineering Architecture, Design, and Implementation• Predictive Analytics, Quantitative Analysis, Machine Learning and Data Mining• Digital Analytics, Marketing analytics, Human Capital Analytics, revenue management, profitability analytics• Sales Lead & Referral Management • Marketing/Customer Research

Experience

1. Director Customer Analytics

   IDT Corporation

   Jan 2025 — Present · Chicago, IL, US

   Director within enterprise-wide analytics organization responsible for mentoring data science personnel, driving analytic capabilities to magnify business impact, and evangelizing the overall usage of data science within business processes and decision-making.

Education

• DePaul Driehaus College of Business

  Master of Science (M.S.), Predictive Analytics, Marketing analytics concentration

  2014 — 2019

• Saint Joseph's University - Erivan K. Haub School of Business

  MS, Business Intelligence & Analytics

  2008 — 2010

• Northern Illinois University

  BS, Molecular Biology

Skills

• Analysis
• Business Objects
• Leadership
• Web Analytics
• Etl
• Enterprise Software
• Database Marketing
• Marketing
• Data Management
• Data Governance
• Sas
• Teradata
• Program Management
• Data Warehousing
• Project Management
• Big Data
• Oracle
• Data Mining
• Requirements Analysis
• Dashboard
• Olap
• Software Development Life Cycle (Sdlc)
• Analytics
• Requirements Gathering
• Data Warehouse Architecture
• Microstrategy
• Segmentation
• Business Analysis
• Sdlc
• Informatica
• Vendor Management
• Cognos
• Essbase
• Agile Methodologies
• Management
• Human Resources
• Extract, Transform, Load (Etl)
• Strategy
• E-Commerce
• Data Modeling