Market & Data Analytics Associate (m/f/d)

Zopa AI; Saarbrücken; Hybrid; EUR 45.000 - 60.000; Vollzeit

Zusammenfassung

A dynamic AI start-up is seeking a Market & Data Analytics Associate to join their passionate team. This role involves building data pipelines, developing analytical algorithms, and generating actionable insights to support business strategy. Ideal for recent graduates with a proactive approach to learning and excellent analytical skills, this position offers the chance to make a direct impact in a fast-growing environment. Hybrid work options are available.

Leistungen

Impact on real-world datasets

Learning and growth opportunities

Flexible working hours

Team culture with international collaboration

Career path for long-term growth

Qualifikationen

• Proactive and hands-on approach to work.
• Strong sense of ownership and ambition.
• Experience in data analysis and modeling tools.

Aufgaben

• Design and maintain data pipelines.
• Develop algorithms for actionable insights.
• Monitor industry trends for strategic guidance.

Kenntnisse

Eager to learn

Analytical skills

Problem-solving

Team player

Excellent communication in English

Ausbildung

Degree in Data Science, Computer Science, Statistics, or related field

Tools

SQL

Python

R

Jobbeschreibung

About us: ZopaAI is a dynamic start-up developing a revolutionary software solution in the field of B2B management (business-to-business). Our software offers globally active companies an AI-based system to better manage customers and build strategic partnerships in a more targeted manner. ZopaAI is transforming how companies leverage AI to make smarter, data-driven decisions.

We are looking for a motivated Market & Data Analytics Associate to join our growing team of market and data analysts. In this role, you will help build data pipelines, develop analytical algorithms, and generate actionable insights across industries, supporting product development, business strategy, and growth. This role is ideal for young professionals or recent graduates who are passionate about working with data, enjoy problem-solving, and want hands‑on experience in a fast‑growing AI startup.

Responsibilities

• Collaborate with the market and data analytics team to design, implement, and maintain data pipelines across different industries
• Develop algorithms and models to generate actionable analytical insights from structured and unstructured data
• Support product and business teams with data-driven analyses and visualizations
• Monitor industry trends, market signals, and competitor data to provide insights that guide strategy

Requirements

• Most importantly, you are eager to learn, proactive and hands‑on, with a strong sense of ownership and ambition to make an impact
• Recent graduate or final‑year student in Data Science, Computer Science, Statistics, Business Analytics, or a related field
• Strong analytical and problem‑solving skills with a hands‑on, results‑oriented mindset
• Experience (academic or practical) in data pipelines, SQL, Python, R, or similar tools for data analysis and modeling
• Interest in AI, SaaS, and data-driven business solutions
• Proactive team player who enjoys collaborating with others and learning from a skilled analytics team
• Excellent communication skills in English (German is a plus)

Benefits

• Impact: Work on real‑world datasets and directly influence business and product decisions
• Learning & growth: Join a skilled analytics team, develop technical and business skills, and gain exposure to multiple industries
• Ownership: Contribute to key analytics projects and see your work make a difference from day one
• Flexibility: Hybrid or remote work options and flexible working hours
• Team culture: Collaborate with an international, motivated team that values initiative, learning, and success
• Career path: Opportunity for long‑term growth within ZopaAI

If you want to be part of the growing team of ZopaAI, we look forward to your application.

Please send your documents, including CV, earliest possible starting date and relevant references via email to [e-mail] and [e-mail]