Junior Data & Analytics Consultant (m/f/d)

Kaiser X Labs. A company of Allianz

München

Hybrid

EUR 52.000 - 78.000

Vollzeit

Vor 4 Tagen
Sei unter den ersten Bewerbenden
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Zusammenfassung

UX Intelligence is seeking a Junior Data & Analytics Consultant to collaborate with researchers, designers, developers, data experts and business stakeholders in a hybrid work environment.

You will scope AI use cases, provide strategic consulting for UX teams, and lead workshops to promote AI-enabled ways of working, translating complex AI concepts into practical guidance. You will build dashboards using Power BI and Tableau and support governance, privacy, and data ethics in Allianz contexts.

Qualifikationen

  • Permanent residency in Germany or near Munich, Stuttgart, Frankfurt, or Hannover.
  • Proficiency in German (C1) and English (C1) for professional use.
  • Bachelor's degree in a quantitative field (Data Analytics/CS/ML).
  • Experience in analytics, data science, or AI-driven workflows in digital product development.
  • Hands-on data prep, data modeling, and SQL skills.
  • Experience with workshops and stakeholder facilitation (remote and on-site).
  • Knowledge of privacy, responsible AI and data ethics.
  • Ability to translate AI concepts into practical guidance for non-technical audiences.
  • Strong communication and cross-functional collaboration.
  • Curiosity and proactive learning about AI trends.

Aufgaben

  • Extract insights from complex datasets using advanced AI and analytics techniques.
  • Translate insights into strategic recommendations for data-driven decisions.
  • Create dashboards and reports using Allianz toolstack (Power BI, Tableau).
  • Identify and consult on AI use cases to mature projects.
  • Support AI governance and data privacy compliance.
  • Develop ML models and AI agents for Allianz and KXL use cases.
  • Lead workshops and training to raise data and AI literacy.
  • Stay updated on AI trends and summarize implications for stakeholders.

Kenntnisse

German language proficiency (C1)
English language proficiency (C1)
Consulting mindset
Stakeholder management

Ausbildung

Bachelor's degree in Data Analytics, Computer Science, Machine Learning, or a comparable quantitative field

Tools

Python
R
SQL
GenAI tools
Prompt engineering

Jobbeschreibung

As a Junior Data & Analytics Consultant (m/f/d) at UX Intelligence, you will work with cross‑disciplinary teams of researchers, designers, developers, data experts, and business stakeholders in a hybrid work environment. You will take responsibility for identifying, shaping, and delivering AI use cases – including use‑case scoping, strategic consulting for UX teams, and the facilitation of workshops that support the adoption of AI‑enabled ways of working. In this role, it is essential that you bring experience in AI applications and AI strategy and are able to communicate complex AI concepts clearly, strategically, and empathetically to diverse audiences.

RESPONSIBILITIES
  • Extract meaningful insights from complex datasets using advanced AI, analytics techniques, and data visualization.
  • Translate insights into strategic recommendations to foster data-driven decision-making.
  • Create dashboards and reports based on Allianz toolstack (Power BI, Tableau) and consult on data visualization best practices.
  • Identify and consult on data & AI use cases to bring the project/team/tribe to an appropriate maturity level.
  • Consult Allianz project/tribe/team and KXL regarding data and AI use cases as well as AI governance within Allianz.
  • Build machine learning models, AI agents, and multi-agent systems for Allianz and KXL use cases (in cooperation with data scientists).
  • Review and assess analytics setup, support with implementing and optimizing analytics solutions, and derive insights from analytics data.
  • Support and deliver training sessions, demos, and hands‑on workshops to build data & AI literacy; create guidelines, templates, and playbooks for responsible AI adoption.
  • Apply and advocate for AI Usage & Quality Guidelines, ensuring compliance with privacy, fairness, and regulatory standards.
  • Monitor emerging AI trends (tools, methods, regulations) and translate them into actionable recommendations; prepare stakeholder updates and summaries.
REQUIREMENTS
  • Mandatory permanent residency in Germany or near one of our locations (Munich, Stuttgart, Frankfurt, Hannover)
  • Fluency in German and full professional proficiency in English (both min. C1)
  • Bachelor's degree in Data Analytics, Computer Science, Machine Learning, or a comparable quantitative field.
  • Proven experience in analytics, data science, or AI-driven workflows within digital product development.
  • Tools: Python, R, SQL; familiarity with GenAI tools (Copilot, GPT, Gemini) and prompt engineering for UX contexts.
  • Hands‑on experience in data prep, data modeling, and SQL.
  • Ability to translate complex AI concepts into practical guidance for non-technical audiences.
  • Skilled in facilitating workshops and training sessions (remote and onsite).
  • Hands‑on experience with pilots, tool implementation, and innovation initiatives.
  • Strong communication skills and ability to work effectively with diverse stakeholders.
  • A Knack for Consulting: You might not have been a consultant, but you think like one. You've dabbled in stakeholder engagement, workshop facilitation, and process modeling.
  • Understanding of privacy, responsible AI, and data ethics (or strong willingness to learn).
  • Ability to work independently while aligning closely with senior leads.
  • Curiosity and proactive learning mindset, especially regarding emerging AI trends.
  • Juggling Master: You can manage multiple tasks at once without breaking a sweat.
  • Marathon Mindset: Some projects are a sprint, others are a marathon. You have the resilience and persistence to stay focused on long-term goals, even when navigating detailed governance processes and data privacy requirements.

Your strength and experience is your most important asset; therefore, everyone, independent of other features, such as gender, race, descent, religion, sexual orientation, age or disability is warmly welcomed.

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