Overview
Remote
Full Time
Skills
SQL
Data Management
ETL
Python
data engineering
data science
Tableau
powerbi
Job Details
Job Title: Sr. Engagement Manager Sports & Entertainment Analytics
Location: NYC preferred, but open to remote with travel
Job Description:
Responsibilities
Oversee delivery of multiple initiatives / projects in the Sports & Entertainment industry
Own the problem solution, structure and delivery of the solution : collaborate with client stakeholders to understand and frame business requests, determine how best to leverage machine learning and advanced analytics methods (Ensemble models, Decision trees and Neural networks; Operations research; Statistical modeling such as multivariate techniques) to support business objectives
Efficiently construct, develop, and implement the models in a variety of modeling tools, achieving highly accurate models
Ensure insights from conclusions of analysis that integrate with initial hypothesis and business objective.
Enable highly technical information into concise is communicated in understandable terms for presentations
Provide oversight to find patterns in the data using advanced analytical tools and techniques
Communicate analyses by preparing presentations for and participating in C-level clients
Qualifications
Master's or Bachelor's degree in math, statistics, economics, computer engineering, business administration or related analytics field from top-tier universities with strong record of achievement or additional relevant experience
11+ years' experience with solid analytics / data science skills and an entrepreneurial, hands-on approach
Extremely strong in problem solving - case based solution approach; Ability to leverage data & analytics to address business problems
Experience in Data science techniques such as regression / decision trees / gradient boosting
Experience in Python and using Python libraries & SQL (Preferable) or SAS / R
Experience in data wrangling / feature engineering / Data pipelines
Strong communication skills to interpret data into insights succinctly and clearly for executive audience
Domain/business expertise of Sports & Entertainment
Preferable
Experience in ETL, Data Management & Data Engineering
Experience in designing and developing BI solutions using - Tableau / Power BI / Qlik / Looker
Experience in Digital Analytics / Personalization
Experience in Optimization algorithms / libraries such as Convex / Linear Programming / Particle Swarm, Gurobi etc.
Location: NYC preferred, but open to remote with travel
Job Description:
Responsibilities
Oversee delivery of multiple initiatives / projects in the Sports & Entertainment industry
Own the problem solution, structure and delivery of the solution : collaborate with client stakeholders to understand and frame business requests, determine how best to leverage machine learning and advanced analytics methods (Ensemble models, Decision trees and Neural networks; Operations research; Statistical modeling such as multivariate techniques) to support business objectives
Efficiently construct, develop, and implement the models in a variety of modeling tools, achieving highly accurate models
Ensure insights from conclusions of analysis that integrate with initial hypothesis and business objective.
Enable highly technical information into concise is communicated in understandable terms for presentations
Provide oversight to find patterns in the data using advanced analytical tools and techniques
Communicate analyses by preparing presentations for and participating in C-level clients
Qualifications
Master's or Bachelor's degree in math, statistics, economics, computer engineering, business administration or related analytics field from top-tier universities with strong record of achievement or additional relevant experience
11+ years' experience with solid analytics / data science skills and an entrepreneurial, hands-on approach
Extremely strong in problem solving - case based solution approach; Ability to leverage data & analytics to address business problems
Experience in Data science techniques such as regression / decision trees / gradient boosting
Experience in Python and using Python libraries & SQL (Preferable) or SAS / R
Experience in data wrangling / feature engineering / Data pipelines
Strong communication skills to interpret data into insights succinctly and clearly for executive audience
Domain/business expertise of Sports & Entertainment
Preferable
Experience in ETL, Data Management & Data Engineering
Experience in designing and developing BI solutions using - Tableau / Power BI / Qlik / Looker
Experience in Digital Analytics / Personalization
Experience in Optimization algorithms / libraries such as Convex / Linear Programming / Particle Swarm, Gurobi etc.
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