Job
- Level
- Senior
- Job Field
- Data
- Employment Type
- Full Time
- Contract Type
- Permanent employment
- Location
- Dusseldorf
- Working Model
- Hybrid, Onsite
Job Summary
In this role, you will analyze large datasets to develop advanced statistical models, support pre-sales activities, and optimize customer-specific solutions in credit risk and fraud detection.
Job Technologies
Your role in the team
- We are looking for a Senior Data Analyst Insurance (m/f/d) with experience in the insurance industry for our Customer Analytics team, which develops data-driven solutions for our clients.
- This position is central to providing meaningful analyses, supporting pre-sales activities, and fostering innovation in areas such as credit risk, fraud detection, and customer intelligence.
- The Senior Consultant (m/f/d) combines technical expertise with business acumen and ensures that our clients derive measurable added value from Experian's local and regional data products and analytics services.
- This position offers the flexibility to work from our offices in Düsseldorf or Frankfurt within a hybrid work model.
- Analyze large, diverse datasets to derive actionable insights that support business decisions in the areas of credit risk, fraud analysis, and customer behavior.
- Design, development, and implementation of advanced statistical models and machine learning solutions for complex client challenges.
- Driving pre-sales activities: assessing customer needs, developing tailored solution concepts, and supporting proof-of-concept projects.
- Close collaboration with cross-functional teams - including sales, product development, and marketing - to ensure seamless integration of analytics into customer solutions.
- Deepening customer relationships, identifying new business opportunities, and supporting initiatives for business development.
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Our expectations of you
Education
- University degree in Mathematics, Statistics, Data Science, Computer Science, or a related field.
Qualifications
- In-depth knowledge of requirements and analytical use cases in a sector of the insurance industry.
- Proven expertise in statistical modeling, machine learning, and data mining; knowledge of Python or similar programming languages and Pyspark.
- Fluent in German and English.
Experience
- Several years of practical experience in data analysis, analytics, or consulting, ideally with a focus on credit risk, fraud analytics, or marketing analytics.
- Experience with cloud-based data and analytics platforms as well as data visualization tools is an advantage.
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Topics that you deal with on the job
Job Locations
This is your employer
Experian Information Solutions
As a subsidiary of the Experian Group, Experian Information Solutions provides comprehensive services in data analysis and risk management. The company specializes in supporting individuals and businesses in assessing credit risks and fraud prevention.
Description
- Company Type
- Established Company
- Working Model
- Hybrid, Onsite
- Industry
- Consulting
Senior Data Analyst Insurance
- Location
- Dusseldorf
- Working Model
- Hybrid, Onsite
- Diversity
- Open for all genders
