Your Responsibilities:
Building and maintaining dashboards tailored to the target audience to track key KPIs and in-depth reports;
Re-engineering the KPI logic to reflect the relevant data to be considered and to observe the cascading of the KPI tree;
Digging into data to uncover new use cases and identify potential areas for improvement;
Identifying and assisting with resolving data quality issues for accurate tracking and reporting;
Collaborating closely with product teams and stakeholders to enable data-driven processes;
Developing new KPIs as needed;
Storytelling based on various data sets builds up narratives and graphic visualizations meant to communicate data driven insights and to influence data driven decision making;
Promoting and educating product teams and (potential) stakeholders about data usage.
Oversee the entire data science project lifecycle, from project scoping and planning to successful execution and delivery. You will manage resources effectively, prioritize tasks, and ensure projects are completed on time and within budget.
Contribute your in-depth knowledge of data science methodologies, algorithms, and tools. You will guide your team in the development and implementation of advanced analytics solutions that address complex business challenges.