Data Science Intern, Marketing Analytics
Employment Information
Report this job
Job expired or something wrong with this job?
Job Description
Marketing Analytics Intern focused on optimizing marketing channel efficiency and analyzing user lifecycle at Gametime United. Supporting marketing strategies and user retention through data analysis and reporting.
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.
Requirements:
- 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.
Similar Jobs
Senior Data Scientist, Canada
Senior Data Scientist leading deep analytical investigations to transform complex datasets into actionable insights. Collaborating with cross-functional teams on high-value analytic requests for operational needs.
Senior Data Scientist, Consultant
Data Scientist Senior Consultant helping clients maximize data value through analytics across various methods. Leading teams and engaging with clients in a consulting environment.
Lead Data Scientist, Search
Lead Data Scientist at DICK'S Sporting Goods focusing on innovative AI/ML search solutions. Leading technical strategies and collaborations across teams for advanced search functionalities.
Principal Data Scientist – Risk Intelligence, AI
Principal Data Scientist at AppOmni developing machine-learning solutions for SaaS security. Collaborating on AI-driven workflows to enhance security systems and customer investigations.
Data Scientist – Credit Eligibility
Data Scientist building credit scoring and pricing models at M-KOPA for underserved customers in Africa. Collaborating cross-functionally with teams to improve financial access.
Data Scientist – Credit Eligibility
Data Scientist at M-KOPA building predictive models for credit eligibility and pricing across African markets. Collaborating with various teams to enhance financial inclusion for underserved customers.
Data Scientist – Financial Crimes Modeling
Data Scientist II responsible for AML/CTF models and analytics solutions at TD. Fostering insights for strategic planning and compliance in Financial Crimes Modeling.
Cientista de Dados Sênior
Senior Data Scientist at SysMap developing advanced ML models and AI architectures for innovative solutions across various sectors.
Media and Marketing Data Scientist
Media and Marketing Data Scientist at Go Fish Digital bridging complex datasets and actionable insights. Collaborating with cross-functional teams to enhance the company’s data capabilities through analysis and reporting.
Principal Data Scientist
Principal Data Scientist developing and deploying cutting-edge fraud detection systems at SheerID. Collaborating with teams to build scalable AI/ML models for data-driven marketing.
Senior Data Science Analyst
Senior Data Analyst at Valid driving analytical solutions for business and product decisions. Collaborating across teams to develop data-driven insights and implement machine learning models.
Innovation, Data Science Internship
Data Science Intern at Businessolver working on advanced analytics and model development in an innovative culture. Collaborating with scientists and engineers to enhance data-driven products.
Data Scientist
Data Scientist at KoBold Metals utilizing AI to discover battery metals. Building predictive models and datasets for exploration in collaboration with leading geoscientists.
Lead Data Scientist – Financial Crimes Modeling
Lead Data Scientist responsible for financial crimes modeling and analytics. Utilizing data science techniques to inform decision making and strategic planning across TD's operations.
Data Scientist – FCRM Model Risk Governance Strategy
Data Scientist III providing technical leadership in analytics for TD. Collaborating on complex data analysis and driving business outcomes.
AI Data Scientist
AI Data Scientist role at HandTalk focusing on driving applied research in multimodal AI and LLMs. Collaborate on challenging projects that enable communication between deaf and hearing individuals.
Senior Managing Director, Data Science & AI
Senior Managing Director focusing on data science and AI strategy at Cayuse. Leading business development, client advisory services, and establishing data capabilities.
Data Science, Machine Learning Intern
Data Science Internship providing 1-1 mentorship and real-world project experience for aspiring IT professionals. Engaging in machine learning and data science collaboration with industry experts.
Senior Data Scientist
Senior Data Scientist at Tenchi analyzing cyber security datasets and collaborating with teams to improve security posture. Focused on data-driven models and visualizations for user experience.
Director, Data Science – Commercial Analytics
Director of Data Science and Commercial Analytics at Cristcot, leading data functions for a biotech focused on ulcerative colitis therapy. Collaborating with cross-functional teams to drive data-informed decision-making.