Job
- Level
- Experienced
- Location
- Hanover
- Working Model
- Hybrid, Onsite
- Job Field
- Data
- Employment Type
- Full Time
- Contract Type
- Permanent employment
Job Summary
In this role, you will create metrics reports and analyze unstructured data. You will utilize Python and SQL for pattern recognition while supporting the management's strategic decisions with clear presentation of results.
Job Technologies
Your role in the team
- Creation, evaluation, and further development of key figures reports
- Cleaning and analysis of unstructured data
- Derivation of future forecasts through pattern recognition and modeling
- Support for management in strategic decision-making
- Results Presentation / Storytelling
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Our expectations of you
Education
- Completed degree in the fields of (Business) Informatics, Statistics, Mathematics, or a comparable discipline
Qualifications
- Excellent Python and SQL skills
- Independent, committed, and solution-oriented work approach
- Strong communication skills / Data storytelling
Experience
- Experience in preparing large datasets
- Experience with data visualization and clear presentation of analysis results
- Experience in handling unstructured and complex data
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What we offer
- Flexible working hours and flextime at 38 hours/week
- Mobile working with 2 in-office days per week after the probation period
- 30 days of vacation per year
- Subsidy for the Germany Ticket, company pension scheme, and Hansefit
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Topics You Will Work On
Job Locations
About Your Employer
casusQuo GmbH
casusQuo GmbH is a renowned provider in the German healthcare sector, specializing in the review of billing from hospitals and care facilities. Based in Hanover, the company assists health insurance funds in ensuring fair expenditure on services and has been active since 2003.
Description
- Company Type
- Established Company
- Working Model
- Hybrid, Onsite
- Industry
- Healthcare, Social Sector
Data Scientist
- Location
- Hanover
- Working Model
- Hybrid, Onsite
- Diversity
- Open for all genders
