• Own reporting and analysis across paid UA channels (Meta, Google, Apple Search Ads, etc.) — ROAS, CPI, LTV, retention cohorts • Build and maintain dashboards that track campaign performance, channel efficiency, and audience trends • Analyze the paid → organic relationship and surface insights on how UA investments drive broader growth • Support audience segmentation and targeting strategies using behavioral and demographic data • Partner with the UA and creative teams to evaluate creative performance and identify winning patterns • Conduct incrementality, attribution, and funnel analysis to improve spend allocation • Support ad hoc deep dives — new channel evaluation, seasonal campaign analysis, creator/partnership ROI • Translate findings into clear recommendations for both marketing practitioners and senior leadership

• Build and maintain a consistent “Source of Truth” for all company data • Develop and optimize BI dashboards (PowerBI preferred) • Implement and manage tracking solutions (Google Tag Manager, CDPs) • Analyze complex data sets and derive actionable insights • Collaborate closely with product and marketing teams to enable data-driven decisions

• Write and optimize SQL queries to extract data from our ERP, CRM, and other business systems. • Design and maintain interactive dashboards using tools like Power BI / Tableau / Excel. • Analyze data trends to help department heads (Finance, Sales, Ops) make informed decisions. • Ensure data integrity by regularly auditing reports against source systems. • Implement data pipelines using tools such as Boomi, Celigo or Airflow. • Meet with stakeholders to understand their pain points and document requirements for new system features or reports. • Create process flowcharts and documentation to map out current business workflows. • Serve as the functional expert for our core applications. • Perform User Acceptance Testing (UAT) for system upgrades or new implementations to ensure nothing breaks. • Provide support for complex application issues that require data investigation or logic analysis.

• Work closely with product managers, business, development and data engineering teams to guide the sales, marketing and growth team in problem discoveries, monitor and give visibility of product metrics and KPIs. • Translate product and business questions into analysis and actionable insights. • Develop and maintain scalable and self-service visualization tools and dashboards. • Own end-to-end everything analytics related to Marketing and Growth Product: products development cycle, from data requirement gathering and opportunity sizing, to experimentation and post-launch impact analyses. • Build robust relationships with stakeholders acting as a strategic and supportive link between the technology, business, and product. • Apply various advanced mathematical and statistical modeling techniques and analyses (A/B test, multivariate test, clustering, supervised learning, etc) to solve for product and business problems that drive the highest impact.