Are you a data enthusiast with experience in data science and data engineering? Do you have a practical mindset and strong business partnering skills?Someone who can transform a business question into a data driven solution enabling real impact? Are you eager for an opportunity to bring our Analytics and Business Intelligence activities to the next level, realizing the growth of our scale up company? If so we have the perfect job opportunity for you.
In this role, you will join a small team of 2 and will focus on developing, integrating and automating predictive models using AI and ML. You will create and present reporting environments to help stakeholders taking and analyzing business decisions. You will guide the team towards new technical integrations in our data processing activities. You will actively look for new data insights that could provide the business with new optimization opportunities. Next to this, you will be dealing with multiple internal stakeholders and project divisions daily to ensure the organization is provided with the right insights enabling business growth.
Develop, implement and automate predictive models within our environment.
Build dashboards and reports around growth initiatives and business priorities.
Manage the relationship with key stakeholders in order to gather and guide reporting and analytical requirements.
Understand and find the best solutions for stakeholders’ questions related to different business projects and divisions based on data insights (e.g., user behaviour, payment performance, fraud detection, customer churn and lifetime value, anomaly detection, revenue forecasting, traffic performance).
Keep up to date with the state-of-the-art tools and technologies to drive improvements in BI systems efficiency, process automation and reporting structures.
Advice on and guide the team towards new technologies to improve and automate our Data Warehouse and ETL processes.
Support and maintain our current Data Warehousing environment including but not limited to data quality, data pipelines integrations, new data source synchronizations etc.