Analytics Engineer
As an Analytics Engineer for the Sports Modeling & Innovation team, the role is responsible for designing, building, maintaining, and improving data models, datasets, and data visualizations. These will be used by data scientists to power business performance impacting decisions. The role bridges the gap from data and the Data Engineering team to data scientists, analysts, and other business stakeholders, aiming to leverage that data for insights and business decisions. This is an opportunity for someone 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 learning and a desire to optimise how data is leveraged. Employees may be required to perform other duties as assigned by the Company to ensure operational flexibility and meet evolving business needs.
- Developing pipelines to ensure fast, sometimes real-time, ingestion of data into properly thought-out databases (SQL, Delta Lakes, etc.).
- Maintaining validation pipelines that flag bad or missing data and iterating on these pipelines when new databases are created.
- Managing existing data transformation jobs for the Sports Modeling and Innovation team.
- Helping to optimise code across code bases and troubleshooting any issues.
- Automating data cleaning projects on large datasets.
- Making decisions between memory and speed trade-offs to best optimise team’s project needs, helping to reduce query execution times where possible and remove unnecessary/unused metrics.
- Creating and owning a backlog of prioritised Tableau dashboard / Rshiny app additions.
- 3+ years of experience working in an analytics/data engineering role (required).
- 2+ years working on maintaining databases with a focus on improving data ingestion pipelines (required).
- Deep understanding of relational databases (required).
- Proficient in SQL, Databricks, R/Python, Tableau, AWS s3 buckets, and command line (required).
- Experience building data pipelines using Python/R and Databricks is a huge advantage (nice-to-have).
- Bachelor's Degree, preferably in a highly numerate major (Math, Stats, Econ, etc.) or relevant experience in a data analysis role (required).
- Strong personal organisational and time management skills (required).
- Ability to work in a fast-paced environment (required).
- Strong problem-solving skills (required).
- Experience working in groups on collaborative projects (required).
- Curiosity about AI and emerging technologies is a plus (nice-to-have).
- Health plans to choose from, some as low as $0 per paycheck, including programs for fertility and family planning, mental health support, and fitness benefits.
- Generous paid time off and sick leave.
- Annual bonus and long-term incentive opportunities based on performance.
- 401k with up to a 5% match.
- Commuter benefits.
- Pet insurance.
- Medical, vision, and dental insurance.
- Life insurance.
- Disability insurance.
- 14 paid company holidays.
FanDuel Group is an innovative sports-tech entertainment company that is changing the way consumers engage with their favorite sports, teams, and leagues. The premier gaming destination in the North America, FanDuel Group consists of a portfolio of leading brands across gaming, sports betting, daily fantasy sports, advance-deposit wagering, and TV/media, including FanDuel, Stardust Casino and TVG. 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. FanDuel Group is a subsidiary of Flutter Entertainment, the world's largest sports betting and gaming operator with a portfolio of globally recognized brands and traded on the New York Stock Exchange (NYSE: FLUT).