Data Science Intern, Marketing Analytics
About The Position
Live experiences help people cross today’s digital divide and focus on what truly connects us – the here, the now, this once-in-a-lifetime moment that’s bringing us together. To fulfill Gametime’s mission of uniting the world through shared experiences, we make it easy for people to discover and access the live experiences that matter most. With platforms on iOS, Android, mobile web and desktop supporting more than 60,000 events across the US and Canada, we are reimagining the event ticket industry in order to move at the speed of life. We're seeking a curious and motivated Marketing Analytics Intern to join our dynamic Growth Engine team. This role will focus on understanding and optimizing marketing channel efficiency and analyzing the complete user lifecycle. You will assist in developing frameworks to track and measure marketing effectiveness, ensuring a holistic view of our user base. This role involves leveraging various analytics tools and techniques to dive into user growth, user behavior patterns, the user journey, user retention, and marketing attribution. The ideal candidate has a strong analytical foundation, a passion for marketing analytics, and can thrive in a proactive, results-driven, fast-paced environment. Your work will directly support our marketing strategies, campaign optimization, and customer acquisition efforts.
Requirements
- Marketing Analytics: Foundational knowledge of marketing attribution, the user journey, and data analysis.
- Data Management: Capable of working with data sets and ensuring data accuracy.
- Programming & Tools: Familiarity with Python/R and SQL for data analysis and optimization workflows.
- Business Intelligence: Exposure to business intelligence data visualization software, such as Tableau, Power BI, or Sigma.
- Collaboration: Ability to work cross-functionally with various teams to achieve business goals.
- Communication: Clear and effective communication skills for presenting data findings.
- Analytical Thinking: Demonstrates strong critical thinking and a data-first approach to solving problems.
- Proactive: Embodies a proactive and “Always be Curious” mindset when exploring data.
- Education: Currently pursuing a Bachelor’s or Master's degree in Data Science, Mathematics, Statistics, Computer Science, Marketing Analytics, or a related field.
- Experience: Previous internship, coursework, or project experience in marketing analytics, data analysis, or a similar domain. Broad understanding of marketing channels is a plus.
- Tools: Proficiency in SQL and familiarity with Python/R for data analysis. Experience with data visualization tools (e.g., Tableau, Power BI, Sigma).
- Knowledge: Basic understanding of UTM parameters, marketing tags, and attribution concepts.
Nice To Haves
- 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.
Responsibilities
- Marketing Attribution & User Journey: Assist in developing and maintaining frameworks to attribute marketing efforts and track customer journeys, user growth, and retention across various channels.
- Data Analysis: Analyze marketing and user behavior data to identify trends, insights, patterns, and areas for improvement.
- Tracking & Reporting: Support the management of tracking systems and help generate comprehensive reports on marketing performance and user retention.
- Cross-Functional Collaboration: Work closely with marketing, product, and data teams to align analytics efforts with overall business growth goals.
- Performance Optimization: Provide data-backed recommendations for marketing timing, channel optimization, and user engagement.
- Campaign Reporting: Help deliver detailed reporting on campaign effectiveness, organic/paid channel performance, and key metrics.
- Industry Trends: Stay up-to-date on industry best practices and emerging marketing analytics techniques.
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What This Job Offers
Career Level
Intern
