Junior Analyst – Modeled Data

Jobtailor; Hamburg; Vor Ort; EUR 60.000 - 90.000; Vollzeit

Zusammenfassung

Jobtailor in Hamburg seeks a data/modeling professional to own and enhance market models across industries. You will analyze diverse data sources, build statistical models, and develop reproducible Python workflows to deliver robust outputs.

You will leverage AI tools to accelerate research and contribute reusable components while collaborating with Data Engineering to scale production data systems for faster, more reliable insights.

Qualifikationen

• Strong analytical and structured problem solving with curiosity about markets and business dynamics.
• Solid Python programming experience through university, internships, research, or personal projects.
• Good understanding of statistics and quantitative reasoning to decompose ambiguous business questions.
• High ownership mentality with initiative and track record of delivering results.
• Growth mindset, embracing new technologies and AI as a tool to amplify analysis.
• Excellent written and verbal communication skills.
• Experience with SQL and database fundamentals is a plus.
• Familiarity with collaborative development practices and AI tools is a plus.

Aufgaben

• Own and continuously improve a portfolio of market models for a dedicated industry.
• Analyze data from internal and external sources to forecast market developments.
• Build, maintain, and enhance statistical models for market size, growth, and KPIs.
• Develop reproducible Python‑based workflows for robust model outputs.
• Use and support AI tools to accelerate research, modeling, and QA.
• Contribute reusable modeling components and automation to the AI‑enabled platform.
• Collaborate with Data Engineering to improve production data systems and scale.

Kenntnisse

Analytical thinking

Python programming

Statistics

SQL

Git

AI tools

Communication

Ownership

Ausbildung

University degree

Tools

Git

GitHub Copilot

Jobbeschreibung

Responsibilities

• Own and continuously improve a portfolio of market models for a dedicated industry to help produce proprietary data, developing deep domain and quantitative-methods expertise over time
• Analyze structured and unstructured data from a wide variety of internal and external sources to estimate and forecast market developments
• Build, maintain, and enhance statistical models to measure market size, growth, and key performance indicators
• Develop reproducible Python‑based analytical workflows that ensure robust and explainable model outputs
• Use and support the development of AI tools to accelerate research, modeling, documentation, and quality assurance
• Contribute reusable modeling components, automation capabilities, and best practices to help build the next generation of our AI‑enabled production platform
• Collaborate closely with Data Engineering to continuously improve our production system and deliver proprietary data faster, more consistently, and at greater scale

Requirements

• Strong analytical and structured problem‑solving skills with a genuine curiosity about markets, industries, and business dynamics
• Solid Python programming experience through university, internships, research, or personal projects
• Good understanding of statistics and quantitative reasoning with the ability to decompose ambiguous business questions into structured analytical problems
• High ownership mentality and initiative, with a track record of turning ideas into results and continuously improving the way things are done
• Growth mindset with enthusiasm for embracing new technologies, viewing AI as a tool to amplify your analytical capabilities
• Excellent written and verbal communication skills
• Experience with SQL and database fundamentals is a plus
• Familiarity with Git, collaborative development practices, or AI tools such as ChatGPT, GitHub Copilot, or Cursor is a plus
• Exposure to market research, consulting, business analytics, or data visualization is a plus

Core Competencies

Demonstrates strong analytical skills and proficiency in Python programming to develop and enhance statistical models for market analysis. Capable of collaborating with cross‑functional teams to improve data production systems and leverage AI tools for efficient research and modeling.