Data analyst

Data analyst - Performance Vertical COE - Marketing Science Responsibilities

• Design, test, and scale advanced attribution frameworks that go beyond last-click attribution frameworks
• Act as subject-matter expert on Mobile Measurement Partners (AppsFlyer, Adjust, Branch, Singular, etc.)
• Partner with sales, product, and other cross functional teams to troubleshoot attribution gaps and improve app performance tracking
• Develop and implement calibration frameworks to reconcile discrepancies between platform-reported and MMP data
• Provide deep expertise in app measurement, user acquisition, re-engagement, and retention analytics
• Translate technical findings into clear, business-relevant insights for cross-functional stakeholders (product, sales, etc.)
• Develop automated dashboards and reporting tools to scale insights across the organization
• Stay ahead of industry trends in attribution, privacy changes (SKAN, Privacy Sandbox, etc.), and app ecosystem evolution

• Minimum Qualifications
• Bachelor’s degree in Statistics, Economics, Engineering, Computer Science, Marketing Analytics, or related field
• 5+ years of experience in digital marketing, marketing science, or measurement analytics
• Hands-on experience with at least one MMP (AppsFlyer, Adjust, Branch, Singular, etc.)
• Strong knowledge of attribution methodologies and campaign performance measurement
• Experience working on app-first businesses (UA, re-engagement, retention measurement)
• Strong problem-solving skills: able to frame ambiguous business challenges into structured analytical approaches
• Excellent communication skills with the ability to distill complex analysis into clear and actionable recommendations
• Preferred Qualifications
• Minimum 5 years of experience in data analytics, marketing science or applied statistics roles
• Background in digital marketing, advertising measurement or app measurement
• Experience in performance marketing or marketing science roles at a global tech platform, MMP, or leading app business
• Proven expertise in calibration frameworks and reconciling data discrepancies across sources
• Familiarity with privacy-driven measurement solutions (e.g., SKAN, Privacy Sandbox, modeled attribution)

TikTok is the leading destination for short-form mobile video. At TikTok, our mission is to inspire creativity and bring joy. TikTok's global headquarters are in Los Angeles and Singapore, and we also have offices in New York City, London, Dublin, Paris, Berlin, Dubai, Jakarta, Seoul, and Tokyo.

Inspiring creativity is at the core of TikTok's mission. Our innovative product is built to help people authentically express themselves, discover and connect – and our global, diverse teams make that possible. Together, we create value for our communities, inspire creativity and bring joy - a mission we work towards every day. We strive to do great things with great people. We lead with curiosity, humility, and a desire to make impact in a rapidly growing tech company. Every challenge is an opportunity to learn and innovate as one team. We're resilient and embrace challenges as they come. By constantly iterating and fostering an "Always Day 1" mindset, we achieve meaningful breakthroughs for ourselves, our company, and our users. When we create and grow together, the possibilities are limitless. Join us.

TikTok is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace. At TikTok, our mission is to inspire creativity and bring joy. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach. We are passionate about this and hope you are too.

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