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 analyze large datasets, develop statistical models and ML solutions for credit risk and fraud detection, collaborate closely with teams, and drive pre-sales activities forward.
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.
- 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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What we offer
- This position offers the flexibility to work with our offices in Düsseldorf or Frankfurt in a hybrid work model.
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Benefits
Work-Life-Integration
Topics that you deal with on the job
Job Locations
This is your employer
Experian
We are a global provider of information services and data-driven solutions. We help businesses in over 90 countries make smart, data-driven credit decisions, effective fraud and identity management, and sustainable growth strategies.
Description
- Company Size
- 250+ Employees
- Company Type
- Established Company
- Working Model
- Hybrid, Onsite
- Industry
- Internet, IT, Telecommunication
Employer reviews
by devworkplaces.com
Total
(1 Review)3.3
Workingconditions
3.8Culture
3.7Engineering
3.0Career Growth
2.8
Senior Data Analyst Insurance
- Location
- Dusseldorf
- Working Model
- Hybrid, Onsite
- Diversity
- Open for all genders
