Bachelor’s degree with at least five years of relevant experience, or a Master’s degree with at least three years of experience in data science, analytics, research, or a related field Strong programming experience with SQL and Python, including API integrations, authentication, pagination, and JSON data handling Hands-on experience with large-scale data processing and storage technologies such as Hadoop, Hive, Presto, and Spark Proven experience with data visualization and dashboarding tools, such as Apache Superset, Looker Studio, or similar platforms Solid working knowledge of collaborative tools, including Google Workspace and advanced spreadsheet usage Strong problem-solving skills and sound judgment in selecting analytical approaches Familiarity with ethical data practices, privacy considerations, and responsible data management