LG
Löwenstark Online-Marketing GmbHData Analyst
Data Analyst responsible for data capturing and online marketing analytics at Löwenstark. Collaborating across teams, interpreting data to optimize performance and drive innovations in the field.
About the role
- Analyze complex datasets to identify trends, patterns, and insights that support business and product decisions.
- Partner with Product, Operations, and Finance teams to generate actionable intelligence on customer behavior, product performance, and risk modeling.
- Contribute to the development of pricing models, ensuring accuracy and commercial relevance.
- Deliver clear, concise data stories and visualizations that drive executive and operational understanding.
- Collaborate with Data Engineers to design, implement, and maintain reliable data pipelines and ETL workflows.
- Write clean, efficient scripts in Python for data cleaning, transformation, and automation.
- Ensure data quality, integrity, and accessibility across multiple systems and environments.
- Work with Azure data services to store, process, and manage large datasets efficiently.
- Develop, maintain, and optimize dashboards and reports using Power BI (or similar tools).
- Automate data refreshes and streamline reporting processes for cross-functional teams.
- Track and communicate key business metrics, providing proactive recommendations.
- Collaborate with engineers, product managers, and business leads to align analytical outputs with company goals.
- Support the adoption of modern data tools and agentic AI frameworks to improve insight generation and automation.
- Continuously identify opportunities to enhance data-driven decision-making across the organization.
Requirements
- 6+ years of relevant experience in data analysis or business intelligence, ideally within product-based SaaS, fintech, or insurance environments.
- Proven expertise in SQL for data querying, manipulation, and optimization.
- Hands-on experience with Python for data analytics, automation, and scripting.
- Strong proficiency in Power BI, Tableau, or equivalent BI tools.
- Experience working in Azure or other cloud-based data ecosystems.
- Solid understanding of data modeling, ETL processes, and data governance.
- Ability to translate business questions into technical analysis and communicate findings effectively.
Benefits
- 33 days of paid holiday
- Competitive compensation well above market average
- Work in a high-growth, high-impact environment with passionate, talented peers
- Clear path for personal growth and leadership development
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
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