![Alexander Thamm [at] logo](/api/images/alexanderthamm.jpg)
Applied AI Engineer deploying AI - enabled solutions for enterprise customers while collaborating with teams. Involves direct customer interaction and technical project execution.
About the role
- Data Visualization Engineer focused on Visual Analytics, working with global data and creating dashboards. Collaborating with various teams in an agile environment using SCRUM methodologies.
Responsibilities
- Contribute to demanding data and visual analytics projects under agile SCRUM project management across all project phases
- Take responsibility for collecting, integrating and analyzing global data from various systems and heterogeneous data sources
- Identify relevant patterns, relationships and trends in data to generate well-founded insights and support decision-making
- Ensure data accuracy, completeness and quality, and establish sustainable, repeatable analysis and reporting processes
- Independently analyze business questions, define challenges and develop appropriate, client-oriented solution concepts
- Design and implement visualizations and dashboards following established best practices and modern visual analytics methods
- Develop bespoke, interactive visualizations and scalable analytics applications
- Design intuitive visual user interfaces and support UI development to enable optimal user interaction with the data
- Provide subject-matter support to all business units — including business units and interdisciplinary skill teams — in the area of visual analytics
Requirements
- University degree in a quantitative or analytically oriented field (e.g., Business Informatics, Data Science) or an equivalent qualification
- Fluent German and English skills, both written and spoken
- At least 3 years of professional experience designing, implementing and optimizing interactive dashboards and reports with Microsoft Power BI
- Experience collaborating with business stakeholders to translate complex requirements into clear, meaningful KPIs and storytelling dashboards
- Confident use of DAX, Power Query (M) and relational data models
- Solid knowledge of data preparation, modeling and performance optimization
- Routine experience working with SQL databases and connecting heterogeneous data sources
- High quality awareness, analytical thinking and a strong sense for usability and visual design
- Strong analytical skills and a structured approach, combined with a pragmatic mindset
Benefits
- Trusted working hours with flexible scheduling
- Hybrid work model
- Workation — option to work from another EU country
- Unique team atmosphere
- Flat hierarchies and direct access to our CEO, Alex
- Open feedback culture
- Annual team workshops at our Data.Castle in the Zillertal
- Practiced Data.Musketeer principle — “one for all, all for one!”
- Our [at] Buddy program for better networking
- Regular professional and social events
- Dog-friendly offices
- Intensive onboarding and training process
- Personal development plan and individual training opportunities
- Wide range of workshops and training within the Data.Academy by our experienced Data.Musketeers and external providers
- Leadership, project manager and expert career paths
- Childcare subsidy
- Company pension plan with a 20% employer contribution
- Numerous corporate benefits & employee offers (e.g., for events and travel)
- Starting credit in our internal merchandise shop
- Competitive salary with variable components
- Mental health & wellbeing support including coaching and meditation via nilo.health
- Fitness and yoga rooms at the Munich office
- Regular employee surveys
- EGYM Well Pass membership with Plus1 option
- Bike leasing via Jobrad after the probation period
- Internal groups for sports activities
- Free hot and cold beverages and fresh fruit in the office
- Roof terrace (barbecue)
Job title
Job type
Experience level
Salary
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Degree requirement
Tech skills
Location requirements
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