Sr. Engagement Manager – Sports & Entertainment Analytics
COMPANY OVERVIEW:
This is a leading operations management and analytics company that helps businesses enhance growth and profitability. The company integrates analytics, automation, benchmarking, BPO, consulting, industry best practices and technology platforms to help companies improve global operations, enhance data-driven insights, increase customer satisfaction, and manage risk and compliance.
The Analytics Practice provides data-driven, action-oriented solutions to business problems through statistical data mining, cutting edge analytics techniques and a consultative approach. The company takes an industry-specific approach to transform clients’ decision making and embed analytics more deeply into their business processes. The global footprint of nearly 10,000 data scientists and analysts serves the insurance, healthcare, banking, capital markets, utilities, retail and e-commerce, travel, transportation and logistics industries.
This US based company has more than 58,000 professionals in locations throughout the United States, Europe, Asia (primarily India and Philippines), Latin America, Australia and South Africa.
POSITION OVERVIEW:
We are seeking an experienced and passionate analytics leader to join the Sports & Entertainment practice. In this role, you will be responsible for account management, fostering client relationships and driving growth. You will be pivotal in evolving GTM strategy, nurturing relationships in the market, and creating awareness of the company’s expertise and capabilities. You will partner with key business stakeholders and technology leaders to drive growth.
If you’re someone who is versatile, methodical, excited by modern technology and enjoys tackling novel and complex business problems leveraging AI and Data Analytics, and have an eagerness to develop and expand business in the B2B space, then we would like to talk to you.
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
PREFERRED PROFILE:
- 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
Nice to Haves:
- 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: Remote – (able to travel to NYC)
Job ID# 3137712
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