Product Data Analyst
Mendix
- Rotterdam, Zuid-Holland
- Vast
- Voltijds
- 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.
- 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.
- 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.
- 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.
- 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.