À propos de ce poste Product Analyst - AI Platform chez Mendix
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.
Your Impact
As 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.
- 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.
What You Can Expect to Work On
Your Profile
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.
Business Acumen:
- 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.
Bonus Points:
- 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.
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