Product Analyst at Mendix At Mendix, we help our users and customers bring their ideas to outcomes. Not only by delivering the best low code platform to them, but also by guiding them in the best ways to use our platform in the most effective and efficient way. Improving our product means we need to understand how our product is actually being used by our users and customers, how well do (new) features perform, what are opportunities for improvement based on that. Questions around these topics do constantly live in the heads of our product teams and product managers who are responsible for growing the happy userbase and customers of our platform. Besides our research teams who focus on qualitative user research, the product analytics team at Mendix is taking the quantitative angle. We are responsible for creating and sharing product insights to support and guide those teams and product managers in making the right decisions, which are based on facts and data coming from our platform. But we do not only operate at product team level, we also operate at a more tactical and strategic level, to make sure the different departments/teams look at the same numbers on how our platform performs and again make decisions based on that. Your role: As a medior/senior product analyst, you will pick up requests for insights/reports, etc. coming in from the different teams and provide answers to them based on data we process from our platform. But since you work closely with the teams that build the Mendix platform, you also play an important role in supporting and guiding the teams to implement the right event/data triggers across the platform to generate enough insights. You will not only define, plan, conduct, and share descriptive, diagnostic, predictive, and prescriptive analytics. But also prepare requirements for new data, assist management in translating insights into action and drive the teams to become increasingly data-driven.
A handful of activities that you can expect to be working on throughout a normal work week:
Scoping and challenging analytics requests from the business.
Brainstorming about new product feature ideas with product management, design, development and leadership.
Helping the business define, build and operationalize their KPIs.
Building operational and management level dashboards in Power BI.
Retrieving & transforming data using SQL or Python, support the data engineer in our team in creating the right pipelines and data structures for new and existing data.
Designing and doing in-depth research with large raw datasets.
Applying statistical techniques to metrics and hypotheses to prove significance of results.
Presenting your findings and actionable recommendations or analytics products to the business.
Coming up with enablement strategies for analytics products.
Growing your data & analytics skills be learning from other analysts, but also sharing your knowledge and experience.
Technical requirements:
5+ years of experience in data analytics roles and strong numerical and analytical skills.
Understand data models and being able to extract, clean and transform data.
Definition, creation, target setting, forecasting and operationalization of KPIs and OKR structures.
Experience in data processing languages or scripting languages (SQL mandatory) and R or Python.
Experience creating production grade PowerBI reports and datasets (or comparable tools such as Power BI, Tableau, QlikSense, or BI dashboard creation using languages such as Python or Shiny).
Good understanding of Machine Learning concepts and able to identify business opportunities where ML can make the difference.
Experience with building and deploying these ML models to production.
Being able to bring a data & analytics project from begin to end, from research/hypothesis testing, exploratory data analysis, converging towards conclusions, presenting those to stakeholders while maintaining great documentation and code version control.
Understanding of AWS, Athena, Docker, etc. is a pre.
Research and hypothesis design should have no secrets for you.
Business requirements:
Experience with presenting analytics solutions or actionable insights from research to management and high-level executives.
Experience with presenting your outcome in a non-technical and appealing way to colleagues.
Experience with defining requirements for data capturing in the data lake and making sure data is organized and cleaned.
Experience with advocating data literacy among the entire organization.
Experience with collecting requirements from the business.
Experience with challenging business partners to uncover the right requirements and clearly scope requests or ideas.
Experience with quickly learning about and familiarizing yourself with different business domains.
Experience with stakeholder management between different business units and management levels.
Experience with mentoring and/or guiding subject matter to colleagues.
Experience with low code(app) development is a plus.
Experience with product-led growth is a plus.
Able to speak proficient English.
Personal character traits:
Curious and analytical approach: you have the natural drive to find out how stuff works and interrelates, so you have a good understanding that help you in building(data)models/doing analysis.
A good understanding of business needs and the ability to act accordingly, taking measured risks into account and the ability to take the organization to a next maturity level.
The ability to remain fully functional by adapting to changing circumstances(environment, procedures, people). Absorb new information readily and to put it into practice effectively.
Assertiveness; the ability to bring one’s views across clearly without damaging the relationship with stakeholders.
Creativity; the ability to come up with original and innovative ideas and solutions, to adopt points of view outside the usual parameters.
The ability to ask further with the ambition to deeply understand other perspectives and views in order to generate support.
Ability to collaborate effectively across disciplines, roles, and geographical and time zone boundaries.
What’s in it for you?
Competitive salary with regular reviews and opportunities for advancement.
30 days PTO.
Hybrid work environment.
Work from anywhere up to 4 weeks per year.
Career development training and opportunities.
Regular team events and outings like skiing trips.
Excellent daily lunch at the office.
Flexible working hours to accommodate a healthy work-life balance.
A dedicated training budget for professional development.
Various modes of travel to and from the office are covered by Mendix.
This is a hybrid working position, which means you will have the opportunity to work in a hybrid environment, with the flexibility to work from home as well as from our office located in Rotterdam. We expect the successful candidate to be present in the office at least 3 to 5 days a week, as we believe that in-person teamwork is essential for building a cohesive team and delivering high-quality work. If you see this job description and think, “I’d be Perfect for that” but your experience doesn’t align perfectly with the qualifications – don’t let that hold you back. We’re always eager to hire hard-working, passionate candidates – so give it a try and apply. Working for Mendix and with our Customers means your reliability has to be beyond any doubt, and therefore every employment is subject to an onboarding screening and the condition precedent a Certificate of Conduct is provided that demonstrates you did not commit any offences that are relevant to the performance of your function.
Benefits
We provide generous benefits that support our employees’ wellbeing, no matter where they’re located. We also offer region-specific benefits, like fully-stocked office kitchens, commuter perks, and more!
Flexible, hybrid working
Flexible paid time off
Medical, Dental, and Vision Coverage
401k matching
Wellness benefits
Siemens employee discounts
Bravely career coaching
Benefits may vary depending on location
