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İş rejimi

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Kateqoriya

Data Analitika

Yaş

Təcrübə

1 ildən 3 ilə

Əlaqədar şəxs

Maaş

1500-2000

Bitmə vaxtı

22-05-2026

Baxış sayı

Extract, clean, and validate data from internal systems (e.g., underwriting, claims, finance, CRM).
Support actuarial and risk models by preparing structured and high-quality datasets.
Assist in regulatory and management reporting (e.g., CBAR, Solvency II, IFRS 17, internal risk reports).
Automate repetitive data processes using tools such as Excel, Power BI, SQL, or Python.
Perform data quality checks and identify inconsistencies or anomalies.
Collaborate with underwriting, finance, and IT teams to improve data governance and data flows.

Bachelor’s degree in Data Science, Statistics, Mathematics, Actuarial Science, or a related field.
1–3 years of experience in data analysis (insurance/reinsurance experience is an advantage).
Knowledge of Python or R is an advantage.
Understanding of insurance concepts (claims, premiums, loss ratios) is preferred.
Strong analytical and problem-solving skills.
Attention to detail and ability to work with large datasets.
Good communication skills and ability to present findings clearly.

Data Analyst