Data Product Analyst
Data Product Analyst
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Job Description
Do you have experience in Product and Data analysis
Our client a wellestablished FinTech Company operating in the payments industry is seeking to appoint a skilled and detailoriented Data Product Analyst. This position plays a vital role in enhancing product development through datadriven decisionmaking. The successful candidate will support crossfunctional teams by providing actionable insights developing monitoring systems and leveraging automation and AI technologies to improve product quality and performance.
This is an excellent opportunity for an individual with strong analytical capabilities technical proficiency and a keen interest in applying data to product innovation within the fintech sector.
Responsibilities
- Perform indepth analysis of transactional and product usage data to detect patterns trends and anomalies.
- Develop and maintain dashboards and visualizations to communicate key insights to stakeholders.
- Investigate system incidents and anomalies identifying root causes and recommending improvements.
- Design implement and manage scalable data pipelines for data transformation and migration activities.
- Contribute to the development and maintenance of internal monitoring and quality assurance systems.
- Build automation tools to optimize product monitoring reporting and internal workflows.
- Write modular maintainable and scalable code in accordance with best development practices.
- Utilize Large Language Models (LLMs) and AI tools to support data analysis and enhance operational efficiency.
Requirements
Qualifications & Experience:
- Proven experience in data analysis or a related role ideally within a productdriven or technologyfocused environment.
- Proficiency in Python and SQL.
- Experience with data visualization tools such as Power BI or equivalent.
- Handson experience with cloud platforms particularly Google Cloud Platform (BigQuery Datastore).
- Familiarity with version control systems such as Git and GitHub.
- Strong analytical and critical thinking skills with the ability to interpret complex data sets.
- Knowledge of statistical modeling and data science methodologies.
- Prior experience working with LLMs and AIdriven process optimization.
- Exposure to Agile methodologies and crossfunctional product teams.
- Excellent communication skills both written and verbal with the ability to present findings to technical and nontechnical audiences.
- Demonstrated initiative and ownership of projects from concept through to delivery.
Package and Benefits:
- Salary depends on qualifications and experience:EUR Gross per Year
- Performancebased commission structure linked to personal KPIs.
- Participation in the Employee Share Option Plan (ESOP).
- Medical Insurance
- Continuous learning and career development opportunities
Employment Type
Full Time
