Senior Analytics Engineer

About the position

As a Senior Analytics Engineer for our Sports Modeling & Innovation team, you will lead a team of analytics engineers responsible for designing, building, maintaining, and improving the data models, datasets and data visualizations which are and will be used by data scientists to power pricing models and business decisions. You will bridge the gap from our data and the Data Engineering team to the data scientists, analysts and other business stakeholders, aiming to leverage that data for insights and predictive modeling. 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 learning and a desire to optimize how we leverage our data.

Responsibilities

• Manage a team of analytics engineers within the Sports Modeling and Innovation team, working directly with the Data Scientists, Analysts, and Traders
• Own existing sports data pipelines including player, team, game, and play-by-play level data
• Develop pipelines to ensure fast (sometimes real time) ingestion of data into properly thought-out databases (SQL, Delta Lakes, Redshift, etc.)
• Lead the design of data models to support users across FanDuel Group
• Identify potential improvements to underlying data structures
• Demonstrate ability to build production grade data models and work with Data teams to transition ownership
• Embrace data modeling best practices such as version control
• 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, help optimize code across our code bases, and troubleshoot any issues
• Database management – automate data cleaning projects on large data sets
• Make decisions between memory and speed tradeoffs to best optimize team’s project needs
• Create and own a backlog of prioritized data tools

Requirements

• 5+ years of experience working in an analytics/data engineering role
• 3+ years working on maintaining databases with a focus on improving data ingestion pipelines
• Strong knowledge of US sports, including previous experience managing play-by-play level data and player databases
• Deep understanding of relational databases
• Proficient in SQL, Databricks, R/Python, Tableau, AWS s3 buckets, command line
• Experience building data pipelines using Python/R and Databricks is preferred
• Bachelor's Degree, preferably in a highly numerate major (Math, Stats, Econ, etc.) or relevant experience in 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
• Interest in sports and sports gaming preferred

Nice-to-haves

• Experience with data visualization tools
• Familiarity with machine learning concepts
• Knowledge of cloud services beyond AWS

Benefits

• Medical, vision, and dental insurance
• Life insurance
• Disability insurance
• 401(k) matching program
• Paid personal time off
• 14 paid company holidays
• Paid sick time in accordance with all applicable state and federal laws
• Short-term or long-term incentive compensation, including cash bonuses and stock program participation