Responsible for completing the business case development and the process to measure the business impact of the internal business intelligence solutions. Defines and implements the overall business intelligence program goals and tasks in terms of scope, quality, budget, and schedule. Provides leadership and direction for team which may include multiple functional areas. Develops and implements strategy for functional area(s). May have responsibility for developing and managing budget.
Role Description
Design, develop and deploy data-driven predictive models to solve business problems using the most appropriate techniques in data mining, machine learning, and statistical modeling
Dive into large, noisy, and complex real-world behavioral data to produce innovative analysis of historical patterns in customer behaviors and product performance
Find hidden gems that improve our understanding of customer behavior and drive decisions that improve OCF
Assume ownership for analysis projects from data modeling to final delivery.
Collaborate with business owners and teammates to solve business problems, which may include standard tool or custom algorithm development
Work closely with data warehouse architects and software developers to generate seamless business intelligence solutions for business partners
Ensure that the required types, history, and granularity of data is captured to support analytic needs and opportunities
Functional Competencies
Comfort and experience with the art and science of extruding insight from massive, unstructured data sets
Strong understanding of database structure, design, query languages (e.g. SQL), fundamentals of mathematics, large data sets distributed systems, and statistical concepts
Deep knowledge of analytic methodologies such as regression, signal processing, optimization, machine learning, data mining, etc.
Strong working knowledge of data mining algorithms such as decision trees, probability networks, association rules, clustering, regression, and neural networks.
Experience with large database mining tools (e.g., SAS, Hadoop, R, Stata)
Experience with analytics packages SAS, SPSS, Matlab, R, Weka etc.
Creativity to go beyond current tools to deliver best solution to the problem
Good understanding of high-level product architecture and data flow patterns.
Interpersonal Competencies
Experience sharing insights and recommendations to audiences with varying levels of analytic understanding
Ability to lead data science teams and choreograph delivery
Ability to communicate complex concepts in easy-to-understand terminology
Team player with a “can-do” attitude
“Lean forward” bias to find opportunities and drive results
Ability to work effectively across functions, disciplines, and levels
Preferred Educational Level
BS or MS in a quantitative field of Computer Science, Math, or Statistics
PhD preferred
BS or MS degree in Mathematics, Computer Science, Statistics, Operations Research, or other quantitative field.
Advanced degree (PhD) in a quantitative field (i.e., Statistics, Engineering, Machine Learning, Physics, Econometrics, etc.)
Experience
10+ years working experience
Direct, personal experience analyzing massive unstructured data sets
Experience in telecommunications, internet, ecommerce, or media, preferred
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