Data Analyst - Product-Led Growth

We're looking for a Data Analyst to join our recently formed Product-Led Growth team, where you'll work alongside sales and marketing colleagues and directly support our growth engineer. In this role, you'll be at the intersection of product and customer insights, helping us understand customer behavior to optimize the sales and adoption of our advanced and our plus features. You'll work autonomously in a dynamic environment where your analytical skills and business acumen will directly impact our growth strategy.

About Nmbrs:

We're a fast-growing scale-up building innovative HR & payroll technology. With 160+ colleagues in Amsterdam, Lisbon, and Stockholm, we do things differently. No traditional managers, a 4-day workweek, and the freedom to make an impact.

Job responsibilities:

In this role there are plenty of opportunities to influence decision-making. You will find an environment where we are open to your ideas and strategies and we will coach, guide, and help you with increasing your expertise and personal development. In this role you will:

• Translate complex data into clear, actionable insights, communicating findings effectively to technical and commercial stakeholders

• Analyze user adoption patterns, feature usage, and Product-Qualified Lead (PQL) triggers to identify high-value behaviors and optimize conversion opportunities

• Measure and report on marketing campaign performance across multiple channels

• Lead A/B testing initiatives, analyzing results and assessing statistical significance to support data-driven decision-making

• Design and maintain Power BI dashboards and reports, delivering end-to-end analysis across product, financial, and performance data

• Build and maintain ETL pipelines, manage API integrations, and develop Python scripts for scalable data workflows and orchestration

• Oversee end-to-end data processes, ensuring data quality, accessibility, and reliability from extraction to visualization

• Collaborate cross-functionally to define priorities, align on data strategy, and ensure data initiatives support overall business goals