CRM Analyst
Miele Gruppe
Gütersloh, Germany
26 days ago
Role details
Contract type
Permanent contract Employment type
Full-time (> 32 hours) Working hours
Regular working hours Languages
EnglishJob location
Gütersloh, Germany
Tech stack
A/B testing
Business Analytics Applications
Data analysis
ETL
Python
Automation of Marketing
Standard Sql
Snowflake
Data Management
Tools for Reporting
Databricks
Job description
- Analyze customer behavior using CRM data and derive data-driven recommendations to optimize marketing and CRM activities
- Further develop reporting, dashboards, and analytics solutions to support data-driven decision-making in CRM and marketing environments
- Identify campaign optimization opportunities through analyses, A/B testing, and statistical methods, and develop concepts to measure and improve marketing performance
- Collaborate with internal stakeholders to build modern analytics and reporting structures while contributing expertise in data models, reporting logic, and analytics processes
- Further develop segmentation, customer value, and customer lifecycle models to continuously improve customer engagement, marketing efficiency, and CRM activities
- Independently manage analytics and optimization projects - from concept development to implementation together with relevant stakeholders
- Proactively identify opportunities for automation and efficiency improvements in CRM and reporting processes and leverage modern AI tools to make processes more productive and efficient
Requirements
- A degree in Business Administration, Statistics, Mathematics, Business Informatics, or a comparable field forms the foundation of your expertise
- Several years of experience in CRM, analytics, or customer analytics, combined with a strong analytical mindset
- Strong skills in data analysis, BI, and reporting tools, as well as very good SQL knowledge; ideally complemented by experience with Python
- Experience with modern analytics and data platforms such as Databricks, Snowflake, or comparable environments, as well as knowledge of data modeling and ETL/ELT processes
- Ideally, experience with customer value, segmentation, or CLV models, as well as analytics, CRM, or marketing automation projects
- The ability to maintain an overview in complex stakeholder environments, find pragmatic solutions, and take ownership of analytical projects
- A passion for using data not only from a technical perspective, but also to create better customer experiences and measurable business impact