• Turn data from our Marketing & CRM sources into actionable insights for Sleek’s CEO, CRO, Marketing Leaders & CFO. • Improve Monthly Leadership Reporting of Marketing: include targets in Marketing dashboard, Drive revamp of Marketing Dashboard in Tableau, in a way that is clear and concise. Add visualizations most useful for users, remove little used sections. • Improve Marketing department level reporting to drive better actions: Improve page-level performance reporting and keyword mapping to support SEO, Improve website analytics reporting (working closely with eCommerce team) to support improvements on conversion rates. • Data integrity & Documentation: Ensure all key metrics and calculations are clearly documented in Confluence or Google Docs and pinned/ linked in our internal Wiki or Slack channels. Language should be accessible to other Data Analysts and non-technical stakeholders. Ensure Channel attribution is representative of the true source of leads and customers. Drive improvements with various teams responsible of the input data (platform, CRM, eCommerce) to ensure maximum accuracy. • Competitive Reporting: Define & Build competitive reporting dashboards or tools to monitor & drive action. • Data quality recommendations: Work with Tech, Product and Data Engineers to ensure data pipelines are robust and efficient, so that BigQuery is maintained as best as possible. • Manage 1 intern + Collaborate with other Data Analysts: Even though you’ll be embedded within the functional team and working independently, you’ll need to contribute to an inclusive, friendly, knowledge sharing culture with other DAs. You will also manage 1 intern.

• Research, interpret, and analyze existing and proposed trends, laws, and regulations affecting credit unions and the financial services marketplace. • Collect, organize, and analyze policy trends and concepts, as well as quantitative and qualitative data. • Translate complex data findings into clear narratives that explain why the data matters and how it informs policy choices. • Collaborate with internal advocacy teams and external stakeholders to build research-supported policy statements. • Build and maintain a robust policy resource library including summaries, data visualizations, research reports, and analytical tools.

• analisi e interpretazione di dati aziendali a supporto dei processi decisionali; • creazione di report, dashboard e visualizzazioni con strumenti come Power BI o Qlik; • interrogazione e gestione di database relazionali (SQL); • utilizzo di linguaggi di programmazione come Python o R per analisi statistiche e data manipulation; • collaborazione con diversi stakeholder per comprendere le esigenze di business e tradurle in analisi e insight; • definizione e monitoraggio di KPI e metriche.

• Own analytical framing and execution for high-stakes business questions related to value creation, strategy, and operational performance • Define and maintain trusted KPIs and Snowflake data marts using DBT to ensure reliable, decision-ready data foundations • Design and maintain executive dashboards in QuickSight that answer meaningful business questions and reduce metric ambiguity • Apply a hypothesis-first approach to analysis, identifying likely drivers, testing competing explanations, and making clear recommendations even with imperfect data • Translate complex healthcare data into concise memos, slides, and narratives tailored to decision-makers • Partner cross-functionally with Data Engineering, Finance, Operations, and Customer Success to ensure alignment on metrics, sources of truth, and performance insights