SENIOR DATA & ANALYTICS CONSULTANT (M/F/D) at Kaiser X Labs GmbH

Stuttgart, Baden-Württemberg, Germany -

Full Time

Start Date

Immediate

Expiry Date

01 Oct, 26

Salary

0.0

Posted On

04 Jul, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Strategy, Stakeholder Engagement, Change Management, Project Coordination, SQL, NoSQL, ETL, PowerBI, Tableau, Python, R, GenAI, Prompt Engineering, Workshop Facilitation, KPI Definition, Data Governance

Industry

Design Services

Description

YOUR ROLE YOUR ROLE & RESPONSIBILITIES As a part of UX Intelligence, you will work in cross‑disciplinary teams of researchers, designers, developers, data experts, and business stakeholders in a hybrid work environment. You drive customer engagement by transforming diverse data into personalized user experiences. As a strategic partner within the Allianz environment, you design and implement analytics solutions that bridge the gap between raw data and business strategy. You establish scalable data processes and develop solutions that suit our customers, ensuring technical frameworks align with key business goals. By directly supporting the program management, you enable the delivery of data-driven initiatives that empower partners to maximize their information assets. YOUR PROFILE AS OUR SENIOR DATA & ANALYTICS CONSULTANT (M/F/D) YOUR TASKS WILL BE Management of assigned projects Close collaboration with different disciplines represented by us in the projects of Research, Design, Development, Agile Transformation You design varied and simplified data strategy with our clients Ensuring the success of your client’s projects (time, quality, budget), steering stakeholders and escalation management Working closely with Business Tribe Leads (supervisors) and contribute to their targets, Data Strategy Practices, Governance and visions Identifying possible measures to act and create Impact with Data-driven decision-making or AI use cases Facilitation of workshops (e.g. for KPI definition, Data Governance, or Enablement) Creation of KPI Dashboards and conducting ad-hoc Data Analysis to provide actionable Insights YOUR EXPERIENCE IS WHAT WE ARE LOOKING FOR Successfully completed studies in Computer Science, Data Science, Mathematics, or a related field At least five years of professional consulting or project experience specializing in data strategy, stakeholder engagement, change management, and project coordination Proven expertise in developing data strategies, architecting solutions, and performing business case assessments alongside roadmap planning. Hands-on proficiency with data platforms (SQL/NoSQL, ETL) and BI tools like PowerBI or Tableau Communication and workshop facilitation skills, with the ability to simplify complex data concepts for non-technical stakeholders. Proactive learner with an interest in AI-driven workflows and emerging trends in data ethics and privacy. Ability to work autonomously while maintaining strong cross-departmental relationships. Native or bilingual proficiency in German (min. C1) and full professional fluency in English (min. C1). Mandatory permanent residency in the Stuttgart area. Technical skills e.g. Python, R, and SQL, with exposure to GenAI tools (GPT, Gemini, Copilot) and prompt engineering WHY US? CONTACT INFORMATION UXI, STR URL SLUG senior-data-and-analytics-consultant-stuttgart About us THE USER EXPERIENCE COMPANY OF ALLIANZ Our purpose is to ensure that any digital interaction serves a greater purpose, reflecting both business and user needs alike. We are experts at making complex products simple and digitally accessible, delivering validated user experiences in the business of trust. Our strength is built on shared values that inspire and we are always looking for creative and passionate people who are interested in joining a great team.

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Responsibilities

The role involves designing and implementing scalable data strategies and analytics solutions to bridge the gap between raw data and business goals. You will manage projects, facilitate workshops, and create KPI dashboards to drive data-driven decision-making and AI use cases.