ond last-click attribution frameworks
- Act as subject-matter expert on Mobile Measurement Partners (AppsFlyer, Adjust, Singular, Branch, 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.
Qualifications
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).