Analyst I, Customer Forecasting at DraftKings Inc. in Boston, MA

Summary: DraftKings Inc. is a technology company that is leveraging AI to enhance customer experiences and streamline operations. As an Analyst I on the Customer Forecasting team, you will evaluate and optimize marketing performance, uncover trends, and support machine learning initiatives to drive smarter spend strategies and accurate forecasts. Responsibilities: - Leverage forecasting and data analysis techniques to measure, monitor, and predict new customer acquisition trends - Collaborate with cross-functional teams to analyze data, interpret findings, and identify key drivers, risks, and opportunities within forecasts - Develop and enhance machine learning models, automated tools, and Tableau dashboards to improve forecast accuracy and business visibility - Translate complex datasets into clear, actionable insights that inform decision-making across stakeholders - Continuously evaluate and refine forecasting methodologies by incorporating new data sources and analytical approaches - Support ad-hoc analyses and high-impact projects that drive innovation and inform long-term marketing strategy - Champion best practices in data integrity, reporting, and automation to ensure consistent and reliable insights Required Qualifications: - Bachelor's Degree in a quantitative field such as Statistics, Mathematics, Economics, Engineering, Business Analytics, or a related discipline - At least 1 year of business analytics or data science experience, in a work or academic setting - Knowledge of statistical methods, predictive modeling techniques (e.g., regression, classification), and working with large datasets - Experience with SQL or Snowflake, Python, and data visualization tools such as Tableau or similar platforms - Strong communication, analytical, and problem-solving skills, with the ability to translate data into insights - Curiosity to learn about a complex business and a desire to grow as an analyst in a fast-paced, results-driven environment Preferred Qualifications: - Exposure to machine learning concepts, model evaluation, and tools such as Databricks, Airflow, XGBoost, or version control systems - Familiarity with A/B testing, experimental design, and hypothesis testing methodologies Required Skills: Forecasting, Data analysis, Statistical methods, Predictive modeling, Regression, Classification, SQL, Snowflake, Python, Data visualization, Tableau, Machine learning, Model evaluation, A/B testing, Experimental design, Hypothesis testing, Analytical skills Benefits: Bonus, Equity, Benefits as applicable