Data Science Intern, Marketing Analytics at Gametime in Remote

Summary: Gametime is a company focused on uniting the world through shared live experiences. They are seeking a Marketing Analytics Intern to help understand and optimize marketing channel efficiency and analyze the user lifecycle, leveraging various analytics tools to support marketing strategies and customer acquisition efforts. Responsibilities: - Assist in developing and maintaining frameworks to attribute marketing efforts and track customer journeys, user growth, and retention across various channels - Analyze marketing and user behavior data to identify trends, insights, patterns, and areas for improvement - Support the management of tracking systems and help generate comprehensive reports on marketing performance and user retention - Work closely with marketing, product, and data teams to align analytics efforts with overall business growth goals - Provide data-backed recommendations for marketing timing, channel optimization, and user engagement - Help deliver detailed reporting on campaign effectiveness, organic/paid channel performance, and key metrics - Stay up-to-date on industry best practices and emerging marketing analytics techniques Required Qualifications: - Currently pursuing a Bachelor's or Master's degree in Data Science, Mathematics, Statistics, Computer Science, Marketing Analytics, or a related field - Previous internship, coursework, or project experience in marketing analytics, data analysis, or a similar domain - Broad understanding of marketing channels is a plus - Proficiency in SQL - Familiarity with Python/R for data analysis - Experience with data visualization tools (e.g., Tableau, Power BI, Sigma) - Basic understanding of UTM parameters, marketing tags, and attribution concepts Preferred Qualifications: - Prior exposure to or interest in mobile measurement solutions (e.g., SKAdNetwork/SKAN) - Strong academic foundation in statistics, with an understanding of A/B testing, performance metrics, and predictive analytics Required Skills: Marketing Analytics, Data Analysis, SQL Important Skills: Python/R, Data Visualization Nice-to-Have Skills: Analytical Thinking