Performance Analyst

Description

**About the opportunity:** Argus Científica is building its internal marketing department, with defined structure, processes, and methodology. This position is not for a traffic manager who delivers generic reports. It is for a professional who manages the full cycle: from ad to CRM, with complete traceability, data-driven decision-making, and direct alignment with Sales and the CEO. **Your responsibilities:** * Paid media management: independently plan, create, and execute campaigns on Meta Ads and Google Ads * CRM management (Agendor): full lead-to-sale traceability, integrating marketing and sales * Tracking and measurement: configure conversion pixels and UTM parameters; traceability is a non-negotiable requirement here * Daily KPI analysis: CAC, CPC, CPL, CPA, ROI, and ROAS; not only monitoring, but interpreting and proposing adjustments * Continuous optimization: bids, creatives, and targeting—with focus on conversion and CPL reduction * Reports with recommendations: not just data—what works, what doesn’t, and what to do next * Alignment with Sales: monitor and document lead quality; the cycle closes only when marketing and sales communicate **How your performance will be measured:** ? Understanding of the cost to generate each lead across campaigns ? Volume of leads generated ? Understanding of total volume per campaign and channel ? Understanding of conversion rate ? Understanding of the percentage of leads progressing to proposal or closing ? Understanding of ROI / ROAS **Required expertise:** ? Meta Ads: independently manage campaigns ? Google Ads: search campaigns ? Google Analytics 4: data interpretation and goal tracking ? Tracking / UTM: configure and validate tracking ? Agendor CRM: lead registration and follow-up ? Ad copywriting: copy directly impacts CPL ? AI (Claude / GPT): intermediate proficiency required. At Argus, AI is not a curiosity—it’s a core work tool. Those already using it daily produce more and analyze faster. **What we highly value:** ? Proactivity: act before being asked ? Data with interpretation: numbers without insight are useless for decision-making ? Clear communication: present problems along with proposed solutions ? Respect for process: rigorous execution without needing reminders ? Sense of ownership: identify with our culture and celebrate collective results