Health Insurance Pricing & Data Analytics Specialist

Hepiyi Sigorta; Ümraniye; On-site; TRY 180,000 - 300,000; Full time

Job summary

Hepiyi Sigorta is seeking a Pricing Specialist to drive Health Insurance pricing strategies and become the owner of pricing structures and tariffs. You will monitor performance, analyze large datasets, and collaborate with marketing, claims, IT and operations to enhance customer experience.

The role requires strong data skills, ML/GLM experience, and the ability to translate insights into actionable pricing actions within an office setting.

Qualifications

• Bachelor's degree in a related field is required.
• 2–3 years of experience in pricing or analytics.
• Strong Excel skills for advanced reporting and data analysis.
• Experience with Python, R, or KNIME for data science tasks.
• Familiarity with Emblem is a plus.
• Excellent communication and stakeholder management abilities.

Responsibilities

• Own and become SME of Health Insurance pricing structures and tariffs.
• Monitor portfolio performance and identify pricing and underwriting opportunities through data analysis.
• Prepare, analyze, and interpret large datasets to support pricing decisions.
• Develop, validate, and improve GLM and machine learning models for pricing and portfolio optimization.
• Implement pricing actions and model outputs into production systems.
• Collaborate with cross-functional teams to ensure pricing strategies align with business objectives.
• Contribute to the continuous improvement of pricing methodologies, tools, and reporting processes.

Skills

Excel advanced reporting

Python

R

KNIME

Data analysis

Stakeholder management

Education

Bachelor's degree in Actuarial Science, Mathematics, Statistics, Economics, Engineering

Tools

Excel

Python

R

KNIME

Emblem

Job description

Hepiyi Sigorta is seeking a Pricing Specialist to drive Health Insurance pricing strategies and become the owner of pricing structures and tariffs. You will monitor performance, analyze large datasets, and collaborate with marketing, claims, IT and operations to enhance customer experience.

The role requires strong data skills, ML/GLM experience, and the ability to translate insights into actionable pricing actions within an office setting.