* Salário: R$ 11.000 a R$ 20.000 por mês (estimado)
* O valor exibido é uma estimativa calculada com base em dados públicos e referências do mercado. Não garantimos que este seja o salário oferecido para esta vaga específica.
Área: Tecnologia da Informação
Nível: Senior
We’re looking for a data-driven, strategic, and execution-oriented professional to help scale Noa Notes, our AI-powered product for healthcare professionals, in Brazil. This person will sit at the intersection of Product, Sales, and Operations, driving growth, efficiency, and process improvement. If you enjoy combining analysis with action to make a real business impact, this role is for you.
What you will do in this role
Partner closely with Product and Go-to-Market teams to understand how Noa is performing and how to accelerate its adoption in Brazil;
Design and execute experiments (such as A/B tests) to evaluate hypotheses, optimize user adoption, and scale product usage;
Analyze data and channel performance to identify growth opportunities, inefficiencies, and areas for improvement;
Support the scaling of operations by designing and implementing process improvements and automation initiatives;
Provide insights to guide go-to-market strategies, helping align product capabilities with commercial goals;
Collaborate with global and local stakeholders to ensure seamless execution;
Build and maintain dashboards and reports to track key metrics and share actionable insights with leadership.
What makes you a strong fit
4+ years of experience in Operations, Strategy Ops, Sales Ops, RevOps, or Data Analysis (preferably within Marketing or Sales environments);
Solid understanding of product and business dynamics;
Basic knowledge of SQL for querying and exploring data;
Experience with Power BI, Google Sheets, Google Analytics, or Looker Studio (we primarily use Google Sheets and Looker Studio);
Strong analytical skills and a proactive, hands-on approach to problem-solving;
English proficiency - you'll use it daily!
Experience working in agile environments.
It’s even better if you...
Have experience in tech companies or SaaS startups;
Have worked with Python for automation or data analysis;
Enjoy building scalable processes and making complex operations run smoothly.