Description:
Must Have: 7+ years of relevant experience in analytics, with a strong technical background and substantial hands-on experience Hands on with leadership experience ideally 2-3 years Proven experience in descriptive and predictive analytics with R, Python, SQL, advanced Excel, and Power BI Strong knowledge of typical insurance data sources, finance claims, policy, and actuarial (e.g. external sources like credit scores). Geo-spatial data and its application in analytics. Solid understanding of fi
Mar 18, 2025;
from:
dice.com