Data Analyst III

This role sits within the Scaled Partnerships Analytics team, focused on building the data infrastructure and pipelines needed to launch campaigns that enable scaled outreach - directly driving our Family of Apps (FOA) success. The Data Analyst will own the end-to-end data foundation that powers campaign targeting, activation, and measurement across Scaled Partnerships programs. This includes building scalable data sets, developing campaign-ready audiences, standing up tracking infrastructure, and ensuring the partner management team has the data they need to launch and iterate on outreach programs efficiently. This role requires strong technical skills, operational rigor, and the ability to work cross-functionally with Partner Management, Data Foundations, and Product teams to translate program strategy into data-ready execution.

Role Responsibilities :

• Campaign Data Infrastructure: Build and maintain the data pipelines, tables, and audience sets that power campaign targeting and activation for Scaled Partnerships programs
• Audience Development: Develop scalable, campaign-ready creator audiences based on eligibility criteria, product adoption signals, and program-specific segmentation logic
• Tracking & Measurement Infra: Stand up and iterate on the tracking infrastructure needed to measure campaign performance - including attribution, pacing, and conversion tracking
• Launch Enablement: Partner with the campaign operations team to ensure data readiness for each campaign launch; own the data QA and validation process pre-launch
• Reporting & Dashboarding: Develop dashboards and automated reporting to provide visibility into campaign performance, outreach coverage, and program health
• Data Quality & Governance: Own data quality across campaign-related datasets - surface issues proactively, drive resolution, and maintain documentation on data definitions and logic
• XFN Collaboration: Serve as the analytics POC for Partner Management, Data Foundations, and Operations teams - translating program needs into data requirements and vice versa

Top 3 must-have HARD skills: 3-5+ years of SQL experience (Hive, Presto, MySQL, or similar) - including building and maintaining data pipelines/tables Experience manipulating large - scale datasets is a must Big tech experience Good to have skills: BA or BS degree preferred Experience using Salesforce Marketing Cloud/Data Cloud AI experience is preferred Python, data pipelining experience, * BA or BS degree (or equivalent experience)

• 3-5+ years of SQL experience (Hive, Presto, MySQL, or similar) - including building and maintaining data pipelines/tables
• Experience developing audience segments or campaign-ready datasets at scale
• Experience using Salesforce Marketing Cloud/Data Cloud
• Strong attention to detail (non-negotiable)