• Support CRM analytics: measuring campaign effectiveness, audience segmentation, lifecycle reporting, and engagement across email, push, and in-app channels. • Support paid channel performance reporting across growth marketing (Meta, Google, CTV, affiliates, OOH), tracking CAC, LTV, payback period, and funnel conversion metrics. • Build and maintain dashboards in Tableau that surface growth and CRM KPIs to marketing and leadership stakeholders. • Run data pulls, user list generation, and ad-hoc queries to support day-to-day marketing decisions and campaign targeting. • Help maintain attribution reporting pipelines and flag data quality issues as they arise. • Claude is a first-class instrument in this team’s AI toolkit. You’ll use it to write and review SQL, generate documentation, QA analytical outputs, and accelerate the operational layer of your work. Knowing how to prompt well and trust-but-verify AI output is a skill we will develop together. • Partner with senior analysts on dbt model contributions and learn how business logic is encoded into scalable, reusable analytics models over time. • Keep documentation current on reports, dashboards, and metric definitions so that stakeholders can self-serve confidently. • Bring structure to ambiguous requests. When a stakeholder doesn’t know exactly what they need, help clarify the question before jumping to an answer.

• Own analytical coverage across growth marketing, registration, and website, setting measurement frameworks, building scalable reporting, and driving the analytical roadmap for your domain. • Lead analysis on complex, ambiguous questions: incrementality testing, LTV and payback modeling, attribution deep dives, funnel decomposition, and cohort analysis. You define the approach, not just execute it. • Build and own dbt models that encode business logic for your domain in a scalable, reusable way to power dashboards, reporting, and stakeholder self-serve. • Build and maintain Tableau dashboards that give marketing and leadership a clear, reliable view of performance across growth, registration, and web. • Partner directly with marketing stakeholders to scope analytical problems, pressure-test interpretations, and make sure findings land as decisions, not just slide decks. • Use Claude fluently as a daily productivity layer, accelerating SQL, generating documentation, QA-ing work, and building faster analytical workflows. You will help define and share best practices for AI-assisted analytics across the team. • Mentor and raise the floor for junior analysts on the team. Review their work, help them think through ambiguous problems, and set the standard for analytical quality. • Identify gaps before they become problems, from data quality and metric definitions to reporting coverage and stakeholder understanding. Own the fix, not just the flag.

• Work with business subject matter experts to analyze, validate, and utilize data for consumption by business stakeholders • Research and understand customer processes and business data needs • Help determine the required data and transformation needs for each data consumers’ needs • Interpret data and analyze results using statistical techniques • Use strong SQL skills to provide data extracts as needed to address project and business need • Collaborate with business and development teams to document analytics dashboards, alerts, and reports • Support data management initiatives and data stewards by having thorough knowledge of their data domain

• You actively participate in process analyses and the creation of data models to continuously improve our e‑learning & career platform • You support us in conducting market, business and competitive analyses • You analyze and interpret data and help us identify opportunities to improve internal workflows • You use, among others, Python, Excel and R to prepare and analyze data