THE POSITION

Our roster has an opening with your name on it

FanDuel is looking for an Analytics Engineer who will be responsible for designing, building, maintaining, and improving the data models, datasets and data visualizations which are and will be used by data scientists, analysts and stakeholders to power business performance impacting decisions in Generosity/Promotional Spend.

This is a great opportunity for somebody who wants to work in an environment where curiosity is rewarded and people are empowered to make decisions. The ideal candidate will have a passion for continual learning and developing innovative solutions to business problems.

In addition to the specific responsibilities outlined above, employees may be required to perform other such duties as assigned by the Company. This ensures operational flexibility and allows the Company to meet evolving business needs.

THE GAME PLAN

Everyone on our team has a part to play

Work with Data Scientists and Data Engineers to optimize data pipelines and feature engineering for reporting, analysis, classification and prediction models
Manage data transformation jobs for relevant data, ensure completion on schedule, optimize code, troubleshoot any issues
Optimize modeled metric pipelines, streamline execution times and prioritizations, reduce query execution times where possible, remove unnecessary or unused metrics
Leverage AI to accelerate and enhance your work, taking care to ensure high integrity, managing AI risk of error, and maintaining excellent understanding of AI output to avoid blind trust.
Build a strong understanding of Sportsbook Generosity Distribution strategy, our customers behaviors and preferences, and your stakeholders objectives, to support collaboration, and focus on delivering impactful output and ideation
Through idea generation and exploratory analysis, develop new and innovative ways to turn behaviors into features for use in analysis, segmentation and predictive modeling
Maintain business rule definitions, and code implementations
Design and implement data quality checks and alerts to manage accuracy of underlying data, and ensure modeled metrics are fit for purpose
Build strong knowledge in how to optimally use our data platforms, and assist in educating team members in optimal platform usage;
Build and maintain strong working relationships with key stakeholders in relevant teams within the Data Engineering and Data Product departments;
Build and maintain dashboards, optimize code, troubleshoot issues
Identifying potential improvements in underlying ingested data, or new data needs, and working with Data Engineering to prioritize and deliver

THE STATS

What we’re looking for in our next teammate

Minimum 3 years of experience in a similar role
Minimum 2 years building, maintaining and optimizing complex data pipelines with real world applications
Advanced SQL coding and experience of manipulating large datasets
Proficient in at least one programming language (e.g. Python, R, C# etc.)
Strong problem solving ability and attention to detail are important
Experience building data pipelines using Python and Databricks an advantage
Experience working with data visualization tools like Tableau an advantage
Undergraduate degree in a coding heavy or technical discipline
Interest in Sports an advantage

ABOUT FANDUEL

FanDuel Group is the premier mobile gaming company in the United States and Canada. FanDuel Group consists of a portfolio of leading brands across mobile wagering including: America’s #1 Sportsbook, FanDuel Sportsbook; its leading iGaming platform, FanDuel Casino; the industry’s unquestioned leader in horse racing and advance-deposit wagering, FanDuel Racing; and its daily fantasy sports product.

In addition, FanDuel Group operates FanDuel TV, its broadly distributed linear cable television network and FanDuel TV+, its leading direct-to-consumer OTT platform. FanDuel Group has a presence across all 50 states, Canada, and Puerto Rico.

The company is based in New York with US offices in Los Angeles, Atlanta, and Jersey City, as well as global offices in Canada and Scotland. The company’s affiliates have offices worldwide, including in Ireland, Portugal, Romania, and Australia.