Health Insurance Data Mining Officer

SIGNAL IDUNA recruteaza Health Insurance Data Mining Officer

Valabil pana la: 2015-08-31

Compania SIGNAL IDUNA Nivel cariera Peste 3 Ani Exp
Limbi straine engleza
Tip job Full time Data introducerii 2015-07-13
Posturi disponibile 1 Data limita 2015-08-31

Main responsibilities:
- Analyze data, using analytical tools and techniques in order to identify patterns, trends and best practices;
- Synthesize the patterns identified in the company's portfolio and recommend optimizations changes in company's processes;
- Provide statistical advise and analysis to management on company's portfolio;
- Act as a project leader or project member in project optimizations regarding the company's portfolio;
- Managing and supporting all reporting needs across all divisions;
- Perform detailed reconciliation of data generated against existing reports and supporting data to ensure accuracy and completeness of the data;
- Train users on how to access, effectively use and interpret generated reports;
- Set a process for launching data mining projects (obtaining approvals, researching, etc.);
- Working with IT to use and develop tools to provide efficient, accurate and timely data to relevant users, to implement changes in process and system workflows and data to increase the integrity of the source data.

Job requirements:
- University degree in statistics or another discipline requiring quantitative analysis methods;
- Previous work experience in the healthcare industry, especially healthcare analytics or health services research represents an advantage;
- Experience performing exploratory data analysis and model development using data analysis tools (SPSS, etc.);
- Proven ability to understand ad document results and document results, including the use of trend analysis;
- Very good knowledge of MS Office applications Excel, Word, Access, PowerPoint;
- English – advanced;
- Good knowledge of management information system (e.g. IBM Cognos);
- Creativity, critical thinking, and excellent problem-solving skills;
- Very good organizing abilities, attention to details, initiative;
- Ability to effectively communicate complex technical concepts, both verbally and in writing.

If you meet the above requirements and want to become a member of our team, please send your detailed CV, in English at Only suitable candidates will be contacted.

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