Analytics Engineer

The Analytics Engineer will design, build, maintain, and improve data models, datasets, and data visualisations for the Sports Modeling & Innovation team, enabling data scientists and business stakeholders to make performance-impacting decisions. The role bridges the gap between raw data and the Data Engineering team on one side and data scientists, analysts, and other business stakeholders on the other. The working environment rewards curiosity and empowers employees to make decisions, with an emphasis on learning and optimising how data is leveraged.

• Design, build, maintain, and improve data models, datasets, and data visualisations used by data scientists to power business performance decisions.
• Bridge the gap between data and the Data Engineering team and data scientists, analysts, and other business stakeholders to leverage data for insights and business decisions.
• Develop pipelines to ensure fast, sometimes real-time, ingestion of data into properly thought-out databases such as SQL and Delta Lakes.
• Maintain validation pipelines that flag bad or missing data, and iterate on these pipelines when new databases are created.
• Manage existing data transformation jobs for the Sports Modeling and Innovation team, optimise code across codebases, and troubleshoot any issues.
• Automate data cleaning projects on large data sets as part of database management.
• Make decisions between memory and speed trade-offs to best optimise the team's project needs, helping reduce query execution times where possible and removing unnecessary or unused metrics.
• Create and own a backlog of prioritised Tableau dashboard and Rshiny app additions.

• 3+ years of experience working in an analytics or data engineering role.
• 2+ years working on maintaining databases with a focus on improving data ingestion pipelines.
• Deep understanding of relational databases.
• Proficient in SQL, Databricks, R/Python, Tableau, AWS s3 buckets, and command line.
• Bachelor's Degree, preferably in a highly numerate major (e.g. Math, Stats, Econ), or relevant experience in a data analysis role.
• Strong personal organisational and time management skills.
• Ability to work in a fast-paced environment.
• Strong problem-solving skills.
• Experience working in groups on collaborative projects.

• Experience building data pipelines using Python/R and Databricks is considered a huge advantage.
• Curiosity about AI and emerging technologies is a plus.

• Array of health plans to choose from, some as low as $0 per paycheck, including programmes for fertility and family planning, mental health support, and fitness benefits.
• Generous paid time off (PTO and sick leave).
• Annual bonus and long-term incentive opportunities based on performance.
• 401k with up to a 5% match.
• Commuter benefits and pet insurance.
• Medical, vision, and dental insurance; life insurance; and disability insurance.
• Eligibility for short-term or long-term incentive compensation, including cash bonuses and stock programme participation.
• Paid personal time off and 14 paid company holidays.
• Paid sick time in accordance with applicable state and federal laws.
• Benefits may 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 across sports betting, iGaming, horse racing, and daily fantasy sports. FanDuel Group is a subsidiary of Flutter Entertainment, the world's largest sports betting and gaming operator, listed on the New York Stock Exchange.