Analista de Marketing Analytics Sênior

Accountabilities:

• Collect, consolidate, transform, and analyze data from media platforms, Web Analytics, CRM systems, and internal databases.

• Develop and maintain management dashboards and reports using Power BI and Looker Studio, ensuring visibility into key KPIs, targets, and performance indicators.

• Conduct quantitative and qualitative analyses to identify trends, opportunities, risks, and actionable insights for decision-making.

• Implement, monitor, and validate tags, pixels, events, and measurement frameworks across websites, landing pages, and forms, ensuring reliable data collection.

• Integrate information from media, CRM, Analytics, and internal sources to create a unified view of digital performance and the customer journey.

• Monitor data quality, consistency, and reliability, investigating discrepancies and coordinating corrective actions when required.

• Identify opportunities to optimize campaigns, channels, conversion processes, and marketing initiatives through data-driven analysis.

• Partner with Marketing, Media, CRM, and business teams to deliver strategic analyses, recurring performance reports, and ad hoc studies.

• Monitor acquisition indicators for undergraduate programs and provide insights into trends, performance, and opportunities.

• Contribute to the evolution of marketing data structures, automations, integrations, and measurement processes.

Requirements

• Advanced Excel skills for data manipulation, analysis, and reporting.

• Experience with Power BI, including data modeling, DAX, and dashboard development.

• Working knowledge of SQL for data querying and extraction.

• Experience with Web Analytics, particularly GA4, Google Tag Manager, and digital measurement practices.

• Experience working with CRM platforms, preferably Salesforce, HubSpot, and/or Insider.

• Knowledge of implementing and validating tags, pixels, tracking events, and conversion measurements.

• Experience integrating and consolidating data from multiple sources, including media platforms, CRM, Analytics, and internal databases.

• Strong understanding of digital marketing metrics, conversion funnels, attribution, and campaign performance.

• Familiarity with data visualization tools such as Looker Studio.

• Experience handling large volumes of data while maintaining information quality and consistency.

• Experience in Marketing Analytics, Martech, Growth, digital businesses, e-commerce, or education is valuable.

• Strong analytical thinking, attention to detail, and ability to translate data into clear business recommendations.

• Ability to collaborate effectively with multidisciplinary teams and communicate insights to both technical and non-technical stakeholders.

Nice to have:

• Experience with Google Ads, Meta Ads, and other media platforms.

• Knowledge of BigQuery and/or cloud databases.

• Experience with ETL processes, data automation, and integrations.

• Python skills for data analysis and transformation.

• Experience with attribution modeling and campaign measurement.

• Background in education, e-commerce, or other data-driven digital businesses.

Benefits

• Hybrid work model in São Paulo (SP) or Rio de Janeiro (RJ).

• Meal and food allowance.

• Transportation allowance.

• Health and dental insurance.

• Life insurance.

• Gympass / Wellhub.

• Annual profit-sharing program.

• Online psychological and nutritional support.

• Extended parental leave: up to 6 months for mothers and 20 days for fathers.

• Health and maternity support through a partner hospital network.

• SESC partnership with access to education, health, culture, leisure, and assistance programs.

• Birthday day off.

• Access to a broad learning platform with professional development courses.

• Language academy.

• Leadership development programs.

• Mentoring program focused on women.

• Discounts on undergraduate and postgraduate education programs.

• An inclusive environment that values diversity, continuous learning, collaboration, and professional development.

• Opportunities to work at the intersection of data, technology, marketing, and digital transformation.

How Jobgether works: We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team. We appreciate your interest and wish you the best!  Why Apply Through Jobgether?    Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.     #LI-CL1