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Senior Data
2 weeks ago
**Key Responsibilities**
- Understand and identify all data sources relevant to the business
- Support data governance and management strategy to ensure quality of reporting and analytics.
- Facilitate data stewardship to ensure data is consistent, accurate and accessible.
- Enable data-visualization, analysis, and prototyping in service of the markets' immediate needs.
- Assist data engineers on data cleansing, validation and data model testing.
- Develop and build supporting documents on analytics related projects
- Embed analytics within our day-to-day business practices and decision-making, as well as into our culture and mind-set.
- Supporting the compilation of regulatory submissions.
**Personal Profile**
- Data / Actuarial Science, Mathematics, Computer science or related technical background + willingness to dive into technology.
- At least three years of experience in the Middle East, preferably in health insurance.
- Strong analytical capabilities and experience in building business intelligence solutions
- Strong foundational skills in analytics software e.g. Tableau, PowerBI, Qlik, SQL, Python &/or R
- Be self-motivated, intellectually curious and results driven.
- Good communication skills and strong attention to detail.
- Excellent verbal and written English competence.
- Some regional travel may be required.
**About The Cigna Group**
Doing something meaningful starts with a simple decision, a commitment to changing lives. At The Cigna Group, we’re dedicated to improving the health and vitality of those we serve. Through our divisions Cigna Healthcare and Evernorth Health Services, we are committed to enhancing the lives of our clients, customers and patients. Join us in driving growth and improving lives.
- Qualified applicants will be considered without regard to race, color, age, disability, sex, childbirth (including pregnancy) or related medical conditions including but not limited to lactation, sexual orientation, gender identity or expression, veteran or military status, religion, national origin, ancestry, marital or familial status, genetic information, status with regard to public assistance, citizenship status or any other characteristic protected by applicable equal employment opportunity laws._