Accelerator Program - Data Analyst

• Monitor daily business data and assist with maintaining reports and dashboards covering user activity, content publishing, views, engagement, retention, and other key performance indicators.
• Identify unusual data patterns or performance changes and participate in root-cause analysis to help business teams understand underlying drivers.
• Analyze user journeys across browsing, liking, commenting, following, and content creation, using segmentation, funnel analysis, and retention analysis to identify opportunities for improving user experience and conversion.
• Evaluate the performance of different content formats, topics, and creators, providing analytical support for content operations, creator incentive initiatives, and community campaigns.
• Prepare data and analyze performance for product features, operational campaigns, and A/B tests, summarizing findings and contributing data-driven recommendations for improvement.
• Extract and analyze data based on product and operations requirements, ensuring insights are relevant to business objectives.
• Support event-tracking validation, metric definitions, documentation, and data quality checks to maintain accurate and reliable reporting.
• Communicate analytical findings clearly and collaborate with cross-functional stakeholders to support effective execution and continuous improvement.

Requirements:

• Currently enrolled in a master’s degree program or above, preferably in Statistics, Mathematics, Computer Science, Economics, or a related quantitative discipline.
• Strong SQL skills, including experience with multi-table joins, grouping, aggregation, and common data analysis queries.
• Strong Excel capabilities for data preparation, analysis, and reporting.
• Foundational knowledge of statistics and familiarity with analytical approaches such as funnel analysis and retention analysis.
• Ability to translate data into clear, evidence-based insights and investigate the business factors behind changes in key metrics.
• Strong interest in content-driven community products, user behavior, content distribution, and creator ecosystems.
• Detail-oriented approach with a strong commitment to data accuracy and quality.
• Strong communication, learning, analytical, and execution skills, with the ability to work effectively in a collaborative environment.
• Experience with Python, R, or BI tools for data analysis and visualization is preferred.
• Previous experience through a data analytics internship, academic coursework, personal project, or competition is an advantage, particularly where you can clearly explain your analytical methodology and individual contributions.
• Experience with content creation, community operations, or campus media management is a plus.
• Availability to work at least four days per week for a minimum of six consecutive months is preferred.

Benefits:

• 3–6 month accelerator internship designed to provide early-career talent with practical experience in the digital assets and technology space.
• Opportunities for professional networking and development, helping build transferable skills and expand your professional network.
• Exposure to real-world data analysis across user behavior, content ecosystems, product features, campaigns, and experimentation.
• Collaboration with experienced professionals in a global, user-focused environment with a relatively flat structure.
• Opportunities to work on fast-paced projects with autonomy while developing analytical and professional capabilities.
• Competitive salary and company benefits.
• Work-from-home arrangement, with the specific setup potentially varying according to the nature of the business team.
• Opportunities for continuous learning and career development.
• Inclusive and equal-opportunity working environment.
• Employment or engagement terms are subject to the applicable contract and local laws.