Sr. Engagement Manager - Sports & Entertainment Analytics
Job in
New York City, Richmond County, New York, USA
Listed on 2026-01-22
Listing for:
Inizio Partners
Full Time
position Listed on 2026-01-22
Job specializations:
-
IT/Tech
Data Analyst, Data Scientist, Data Science Manager, Business Systems/ Tech Analyst
Job Description & How to Apply Below
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
- Masters 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
- 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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