Analytics Engineer

About the role

As an Analytics Engineer for our Sports Modeling & Innovation team, you will design, build, maintain, and improve the data models, datasets, and data visualizations used by data scientists to power business performance decisions. You will bridge the gap between our data and the Data Engineering team, connecting data scientists, analysts, and other business stakeholders to leverage data for insights and decisions. This role is ideal for someone who thrives in an environment where curiosity is rewarded and people are empowered to make decisions. The ideal candidate will have a passion for learning and optimizing how we leverage data.

In addition to the responsibilities outlined, employees may perform other duties as assigned to ensure operational flexibility and meet evolving business needs.

Responsibilities

• Develop pipelines to ensure fast (sometimes real-time) ingestion of data into properly structured databases (SQL, Delta Lakes, etc.)
• 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, optimize code across codebases, and troubleshoot issues
• Automate data cleaning projects on large datasets
• Make decisions between memory and speed tradeoffs to optimize project needs, reduce query execution times, and remove unnecessary/unused metrics
• Create and own a backlog of prioritized Tableau dashboard/RShiny app additions
• Demonstrate curiosity about AI and emerging technologies

Requirements

• 3+ years of experience in an analytics/data engineering role
• 2+ years of experience maintaining databases with a focus on improving data ingestion pipelines
• Deep understanding of relational databases
• Proficiency in SQL, Databricks, R/Python, Tableau, AWS S3 buckets, and command line
• Experience building data pipelines using Python/R and Databricks (a huge advantage)
• Bachelor’s Degree, preferably in a highly numerate major (Math, Stats, Econ, etc.) or relevant experience in a data analysis role
• Strong personal organizational and time management skills
• Ability to work in a fast-paced environment
• Strong problem-solving skills
• Experience working in groups on collaborative projects

About the company

FanDuel Group is the premier mobile gaming company in the United States and Canada, consisting 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. FanDuel Group also 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, with US offices in New York, 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. 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).

Benefits

• Comprehensive health plans (some as low as $0 per paycheck), including 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
• Pet insurance
• 14 paid company holidays
• Paid sick time in accordance with all applicable state and federal laws

*Benefits differ across location, role, and level.

Pay

The salary range for this position is $116,000 - $152,250 USD, dependent on relevant experience, location, business needs, and market demand. This role may also be eligible for short-term or long-term incentive compensation, including cash bonuses and stock program participation.