Analytics Engineer

THE POSITION

Our roster has an opening with your name on it.

Fan Duel 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 this role you will primarily focus on supporting Personalization for Sports book Product so will need to build a deep understanding of our customers.

You will bridge the gap from our data and the Data Engineering team, to the data scientists, analysts and business stakeholders aiming to leverage that data for insights and business decisions.

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.

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
• Build a strong understanding of Sports book Product, our customers behaviors and preferences, and your stakeholders objectives, to support collaboration, a 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

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

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

In addition, Fan Duel Group operates Fan Duel TV, its broadly distributed linear cable television network and Fan Duel TV+, its leading direct-to-consumer OTT platform. Fan Duel 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…