Key Responsibilities • Partner with key stakeholders on data collection and analysis problems. Apply common statistical methods, data modeling, and predictive analysis to answer strategic questions. • Provide actionable insights to the business through data analytics and synthesize results into succinct presentations for senior management. • Collect data to analyze, execute, and measure operational behavior. • Support BI reporting, database production, and ad hoc analysis. • Dive deep into complex business problems and provide insights into acquisition and demand patterns through hypothesis testing. • Utilize SQL/Python or other relevant statistical tools for data mining and predictive analytics. • Maintain Airflow pipelines that ETL data to various sources (S3, MySQL, etc.). • Reconcile divergent demands of multiple stakeholders in a fast-paced work environment. Skills • 7+ years of experience using Python/SQL (or equivalent) programming languages. • 7+ years of experience with databases, SQL, data modeling, data mining, and automated engineering solutions. • Familiarity with GCP Big Query and Presto is a plus. • Proficiency with advanced graphics/visualization software (e.g., MicroStrategy, Tableau, Looker). • Experience with cloud environments such as AWS and/or GCP. • Experience in developing near real-time distributed data processing solutions using Kafka, Flink, Spark, Kubernetes, Airflow, Apache Beam. • Strong analytical and problem-solving skills. • Clear and effective written and verbal communication and strong interpersonal skills. • Ability to develop strong relationships with a multitude of teams and stakeholders.