13 ago
|
Topsort
|
Madrid
We’re quickly growing and super excited for you to join us
Topsort is a rapidly growing general company focused on democratizing the secret technologies of the walled gardens and creating a privacy‑first cookie‑free world of clean advertising with modern tech, friendly products, and AI. We’ve been gaining customers in retail, marketplaces, and delivery apps in 40+ countries and are approaching the #1 position in the industry.
What is this role like?
We are looking for a highly analytical
Product Analyst
with a builder’s mindset to join our team. In this role, you won’t just report numbers; you will be the bridge between complex data possibilities and real product value.
You’ll thrive here if you have a strong mathematical foundation, sharp product instincts, and the technical toolkit to deep‑die into datasets to uncover the “why” behind performance. We value intellectual curiosity and the ability to solve puzzles in a fast‑paced environment.
In this role, you will:
Drive Data Discovery:
Use SQL and Python to navigate large datasets,
identifying patterns and opportunities that drive product growth.
Master the Metrics:
Interpret and refine KPIs with a clear understanding of statistical significance and expected targets.
Technical Advocacy:
Act as a trusted advisor to both internal teams and external clients, translating complex technical insights into actionable product strategies.
Shape the Product:
Work closely with Engineering and Product teams to ensure our data‑driven culture is reflected in every feature we launch.
Visualization & Storytelling:
Transform complex requirements into intuitive dashboards and visualizations that simplify decision‑making.
What (we think) you need to be successful
Analytical Rigor:
A strong background in a quantitative field (such as Engineering, Math, Physics, Economics, or Computer Science) is highly valued.
Insight‑Driven:
2+ years of experience in Solutions Architecture and Technical Strategy, with a focus on le
📌 Product Analyst (Madrid)
🏢 Topsort
📍 Madrid