Product Analyst - AI Platform
€69,100 - €95,000 per year
Key Skills
Job Description
The Mendix Platform uses visual modeling to abstract long-form coding out of application development. Our customers use Mendix to create and deploy better software for the enterprise, faster. Mendix enables collaboration between business users and developers to work together throughout the development process.
Read our customer stories to learn more about the wealth of software and solutions global organizations have built with the Platform.
Improving our product starts with a deep understanding of how it is used. We need to know how new platform features perform, where the friction points lie, and where the next big opportunity for innovation is hiding. These questions are at the heart of our Product and R&D teams, who are responsible for building and maintaining the entire Mendix ecosystem.
As a Product Analyst, you will be at the forefront of data-driven decision-making. You will guide and support the R&D organization in embedding advanced analytics into the development lifecycle. Your mission is to transform raw platform signals into actionable product insights that empower our Product Managers to make smarter, faster decisions.
The Team
Our group is distributed across Munich, Germany and Rotterdam, Netherlands. We drive innovation within Mendix, working on modern technologies crucial to developing an Agentic Enterprise Platform. You will work closely with the team building the Mendix Platform Agents Kit, playing a key role in shaping the future of AI-driven low-code development. You can find most of our components in the Mendix marketplace, they are showcased in this app.
\nAs a Product Analyst, you will drive digital innovation by:
- Shaping Strategy: Define the strategy for quantitative insights and deliver deep-dive analyses for product management.
- Monitoring Performance: Create and maintain dashboards to monitor the health and success of our products and platform.
- Defining Metrics: Partner with product teams to define the right KPIs and standardized metrics to measure success.
- Data Architecture: Identify the signals, events, and data points required for analysis, ensuring data reusability across the platform.
- Collaborative Development: Support teams during event implementation, ensuring data correctness and exploratory analysis before production.
- Bridge to Engineering: Build initial queries and transformations, collaborating with Analytics Data Engineers to harden and productionize data models.
What You Can Expect to Work On
- Brainstorming new feature ideas with designers, developers, and leadership.
- Building high-impact management dashboards in Power BI.
- Retrieving and redefining complex datasets using SQL, Python, or R.
- Designing and conducting in-depth research on large, raw datasets.
- Applying statistical techniques to prove the significance of results and communicating findings to executive stakeholders.
- Driving a culture of data literacy and sharing knowledge across the analyst community.
Data & Analytics Expertise:
- Power BI: Shown experience designing and deploying production-grade reports (DAX, governed distribution).
- SQL: Expert at building efficient queries for large datasets and validating data integrity.
- Data Modeling: Skilled in designing efficient models and defining requirements for data capturing in data lakes.
- Python: Experience creating reliable, reproducible scripts for data processing and advanced analytics.
- Statistics: Solid understanding of statistical concepts and the ability to apply them to real-world business problems.
- Workflow: Comfortable with Git version control (PRs, Code Reviews) and documenting work for reusability.
- Ability to translate complex technical research into appealing, actionable insights for non-technical executives.
- Aptitude for gathering requirements and challenging stakeholders to uncover the "why" behind a request.
- Quick learner who can navigate different business domains and technical platform features.
- Understanding of Agentic AI concepts (LangChain, Claude Code, OpenAI Codex).
- Experience with AI/ML (building, training, and monitoring models).
- Technical knowledge of AWS Services (Athena, Glue), Linux/CLI, Docker, or Kubernetes.
- Familiarity with Low-Code development (specifically Mendix) and Product-Led Growth (PLG).
Why Us
At Siemens Software, flexibility is how we work—hybrid by default, built on trust and autonomy. Together, 30,000 people across more than 200 countries build technology that shapes the real world. You'll grow through real projects, strong technical peers, and global mobility, backed by the scale and benefits of an industrial software leader. We're committed to equality and inclusion, and we hire based on merit, skills, and impact. Bring your curiosity and creativity and help us shape tomorrow!
Our Benefits & Rewards
The salary range for this position is €69,100 to 95,000 and this role is eligible to earn incentive compensation. The actual compensation offered is based on the successful candidate's job-related skills, experience, and relevant education/training. Siemens offers health and wellness benefits to employees; you can access the benefits available in your country via the link: https://jobs.sw.siemens.com/benefits/
Diversity & Inclusion
We value equal opportunities and welcome applications from people with disabilities. At Siemens, we believe people who've had real experiences dealing with being different will excel as leaders. Let's foster a culture of creativity and innovation. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.
#LI-Hybrid #SaaS
Core Responsibilities
You will drive digital innovation by defining quantitative strategy, monitoring product performance, and building high-impact dashboards. Additionally, you will collaborate with R&D teams to transform raw platform signals into actionable insights and bridge the gap between data and engineering.
Requirements
The ideal candidate possesses expert-level skills in SQL, Power BI, and Python, along with a solid understanding of statistical concepts and data modeling. You must be comfortable working with Git, documenting work for reusability, and translating complex technical research into actionable insights for stakeholders.
Benefits
- Health and wellness benefits
- Incentive compensation
- Global mobility
- Hybrid work environment
About Mendix
Industry: Software Development
Company size: 1,001-5,000 employees
The future of work demands smarter applications. Mendix is where you build, deploy, and orchestrate the intelligent solutions the human-AI workforce relies on—with built-in shared context and governance that connects everything perfectly. Create production-ready agentic applications and AI agents that understand your business inside and out. They're built on your data, follow your logic, and fit seamlessly into your existing architecture. Connect agents across all your business systems, then orchestrate workflows where AI handles the routine and humans step in exactly when they're needed; with full context already in hand. The difference is simple: most enterprise AI projects stall out because companies treat governance, integration, and trust as afterthoughts. We flip that script. With Mendix, every agent decision, human approval, and AI output is automatically traceable and compliant from the start. That's what separates AI experiments from AI that actually runs your business. Whether you're launching your first intelligent application or scaling an organization-wide portfolio, leading companies worldwide trust Mendix to bridge the gap between human expertise and AI capabilities—creating workforces that don't just use technology, they orchestrate it. Ready to build intelligent applications that work the way you do? Mendix is a Siemens business.