Job
- Level
- Experienced
- Location
- Cologne
- Working Model
- Onsite
- Job Field
- Data
- Employment Type
- Full Time
- Contract Type
- Permanent employment
Job Summary
In this role, you will develop machine learning models to analyze operational KPIs and derive action recommendations to enhance efficiency in the insurance sector and optimize data-driven projects.
Job Technologies
Your role in the team
- In this role, you are technically proficient in data analysis and machine learning, and ideally bring experience from the insurance industry.
- You independently analyze relevant KPIs, evaluate the results, and derive actionable recommendations for top management.
- You continuously develop and improve models to predict relevant operational KPIs, such as workload and capacity for voice and non-voice channels. In doing so, you utilize modern algorithms, especially from the field of Machine Learning.
- You develop and implement data-driven projects to optimize customer, process, financial, and operational metrics.
- You support the entire process in Operations Property Insurance.
- You ensure a continuous comparison of backlogs, lead times, productivity, and FTE requirements. Based on this, you derive measures and continuously monitor their implementation.
- You improve the technical and structural processes for data acquisition and presentation. Your goal is automated and accelerated processing and display, even of large data volumes.
This text has been machine translated. Show original
Our expectations of you
Education
- You have successfully completed a university degree (Master's or Diplom) in natural sciences and/or economics.
Qualifications
- Ideally, you have experience in the insurance industry, particularly in life and health insurance.
- You possess strong analytical and conceptual skills and are willing to proactively drive topics forward and persuade stakeholders.
- You are able to communicate and present yourself well at all levels of hierarchy.
- You are a team player with a high level of motivation, a hands-on mentality, and assertiveness.
- Your German language skills are very good, both spoken and written.
Experience
- You have initial relevant professional experience in managing operational units and experience in the data, reporting, and analytics environment.
- You have experience working with databases and database tools, preferably with knowledge of SAS, SQL, as well as Power BI/PowerQuery; knowledge of data analytics tools like R or Python is a plus.
This text has been machine translated. Show original
What we offer
- AXA Germany is part of the AXA Group, one of the world's leading insurance companies.
- As one of the largest primary insurers in Germany, we serve around 8 million customers in the areas of pension and insurance.
- What drives us at AXA? Our curiosity and our courage to innovate!
- Together with over 8,000 colleagues across Germany, we are actively shaping the future of insurance.
- We are looking for creative and analytical minds who are not deterred by challenges.
- With us, you can expect an environment where ideas and feedback are welcomed, projects get underway quickly, and "monotonous" is a foreign word.
This text has been machine translated. Show original
Benefits
Health, Fitness & Fun
- 🚲Jobbike
- ♿️No Physical Barriers
- 🎳Team Events
- 👩⚕️Company Doctor
- 🏋🏿♂️Fitness Offers
- 🙂Health Care Benefits
Work-Life-Integration
Higher Take-Home Pay
- 🚙Company Car
- 🍰Employee Stock Option
- 📱Company Phone for Private Use
- 🛍Employee Discount
- 💻Company Notebook for Private Use
- 👴🏻Company Retirement Provision
Food & Drink
Topics You Will Work On
Job Locations
About Your Employer
AXA Group
Axa is one of the world's leading insurance companies and asset managers with a focus on Europe, North America and Asia-Pacific. In Germany we are one of the largest primary insurers.
Description
- Company Type
- Established Company
- Working Model
- Hybrid, Onsite
- Industry
- Banking, Finance, Insurance
Specialist in Forecasting & Insights in Operations Management
- Location
- Cologne
- Working Model
- Onsite
- Diversity
- Open for all genders
