Data Analyst (NXJ-48)

Newxel; Deutschland; Hybrid; EUR 50.000 - 70.000; Vollzeit

Zusammenfassung

A European technology powerhouse is seeking a Data Analyst to strengthen data-informed decision-making. This hybrid role involves collaborating with the Product team, analyzing data through SQL and Python, and translating insights into product requirements. Ideal candidates have 3–4+ years of experience and strong analytical skills. Join a talented team to innovate and redefine digital commerce.

Leistungen

Competitive salary and benefits package

Medical insurance

Top equipment kit

Career growth and development opportunities

Qualifikationen

• 3–4+ years of experience as a Data Analyst, Product Analyst, or related role.
• Strong proficiency in SQL; able to write and optimize complex queries.
• Comfort with Python (Pandas, NumPy) or ability to quickly leverage AI tools.

Aufgaben

• Partner with Product to scope new features through deep data research.
• Identify, source, and validate the right datasets for each problem.
• Define benchmarks, thresholds, and metrics that inform agent behaviors.

Kenntnisse

SQL proficiency

Python (Pandas, NumPy)

Analytical thinking

Strong communication skills

Jobbeschreibung

We’re looking for a Data Analyst who will work closely with Product to strengthen data‑informed decision‑making behind next‑gen agents. This role goes beyond a typical technical analyst position — You’ll play a key part in shaping product features by uncovering insights, defining benchmarks, and testing hypotheses before they move into product requirements. You’ll thrive here if you’re both technical and product‑oriented: someone who can query raw data, build analyses in Python or SQL, leverage AI tools, and translate findings into clear, actionable recommendations for product development. This is a hybrid role in Spain (Malaga or Madrid). Candidates across Europe can start remotely and relocate later.

Responsibilities

• Partner with Product to scope new features through deep data research and exploration
• Identify, source, and validate the right datasets for each problem (e.g., pricing, bidding, inventory)
• Define benchmarks, thresholds, and metrics that inform agent behaviors
• Write complex SQL queries to extract and manipulate data from multiple sources
• Use Python (especially Pandas) or AI‑assisted workflows to process, analyze, and visualize data
• Translate analytical findings into actionable product insights and requirements
• Be proactive in spotting opportunities, raising hypotheses, and suggesting areas of investigation
• Maintain clear documentation of data sources, methods, and assumptions
• Collaborate cross‑functionally with Product, Engineering, and potentially Operations

Requirements

• 3–4+ years of experience as a Data Analyst, Product Analyst, or related role
• Strong proficiency in SQL; able to write and optimize complex queries
• Comfort with Python (Pandas, NumPy) or ability to quickly leverage AI tools to do so
• Strong analytical thinking and ability to translate business questions into data queries
• Demonstrated proactivity and independence—able to take initiative without detailed instructions
• Excellent organizational skills: able to structure research, track assumptions, and share learnings
• Strong communication skills: can explain technical findings clearly to non‑technical teammates
• Experience in economics, accounting, e‑commerce, ad tech, or marketplaces (will be a plus)
• Knowledge of Spanish (will be a plus)

What we value

• Curiosity and ownership—ask questions, propose ideas, and test them
• Adaptability—comfortable in a fast‑moving AI‑first environment
• Product sense—understanding how data insights shape feature boundaries and priorities

What we offer

• Competitive salary and benefits package
• Medical insurance
• Top equipment kit
• Collaborative and innovative work environment
• Career growth and development opportunities
• A chance to work with a talented and driven team of professional

About the project

Our client is a European technology powerhouse shaping the future of digital commerce. Their mission is to make online business management smarter, faster, and fully automated. By combining deep data expertise with intelligent software, they build autonomous agents that continuously optimise key business processes — from pricing and advertising to inventory and operations — all in real time. Behind the scenes, their team of engineers, data scientists, and product experts is redefining how technology and data work together at scale. It’s a place where innovation meets real‑world impact, where cutting‑edge AI systems learn, adapt, and drive growth for hundreds of online stores worldwide.