Analytics Engineer

FanDuel is seeking an Analytics Engineer to design, build, maintain, and improve the data models, datasets, and data visualisations used by data scientists, analysts, and stakeholders to power business performance decisions in Generosity/Promotional Spend. The role sits within a data-focused environment where curiosity is rewarded and people are empowered to make decisions. The successful candidate will work closely with Data Scientists, Data Engineers, and stakeholders across Data Engineering and Data Product.

• Work with Data Scientists and Data Engineers to optimise data pipelines and feature engineering for reporting, analysis, classification, and prediction models.
• Manage data transformation jobs and dashboards, ensuring completion on schedule, optimising code, and troubleshooting issues.
• Optimise modelled metric pipelines, streamline execution times and prioritisation, reduce query execution times, and remove unnecessary or unused metrics.
• Leverage AI to accelerate and enhance work, ensuring 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, customer behaviours and preferences, and stakeholder objectives to support collaboration and focus on impactful output and ideation.
• Develop new and innovative ways to turn behaviours into features for analysis, segmentation, and predictive modelling through idea generation and exploratory analysis.
• Maintain business rule definitions and code implementations.
• Design and implement data quality checks and alerts to manage the accuracy of underlying data and ensure modelled metrics are fit for purpose.
• Build strong knowledge of optimal data platform usage, assist in educating team members in optimal platform usage, and maintain strong working relationships with key stakeholders in relevant teams within the Data Engineering and Data Product departments.
• Identify potential improvements in underlying ingested data or new data needs, and work with Data Engineering to prioritise and deliver.

• Minimum 3 years of experience in a similar role.
• Minimum 2 years of experience building, maintaining, and optimising complex data pipelines with real-world applications.
• Advanced SQL coding and experience manipulating large datasets.
• Proficiency in at least one programming language (e.g. Python, R, C).
• Strong problem-solving ability and attention to detail.
• Undergraduate degree in a coding-heavy or technical discipline.

• Experience building data pipelines using Python and Databricks.
• Experience working with data visualisation tools such as Tableau.
• Interest in sports.

• Health plans, some as low as $0 per paycheck, including medical, vision, and dental insurance, fertility and family planning, mental health support, and fitness benefits.
• Life insurance and disability insurance.
• Generous paid time off (PTO and sick leave), paid personal time off, 14 paid company holidays, and paid sick time in accordance with applicable state and federal laws.
• Annual bonus and long-term incentive opportunities based on performance, with eligibility for short-term or long-term incentive compensation including cash bonuses and stock programme participation.
• 401k with up to a 5% match.
• Commuter benefits.
• Pet insurance.
• Benefits differ across location, role, and level.

FanDuel Group is the premier mobile gaming company in the United States and Canada, with a portfolio of leading brands including FanDuel Sportsbook, FanDuel Casino, FanDuel Racing, and its daily fantasy sports product. FanDuel Group is a subsidiary of Flutter Entertainment, the world's largest sports betting and gaming operator, traded on the New York Stock Exchange (NYSE: FLUT), and is an equal opportunities employer committed to inclusion.