Network Pricing Data Analyst: Insights & Impact

Optum; Dublin; Hybrid; EUR 60,000 - 90,000; Full time

Job summary

Optum is a global healthcare company seeking a Data Analyst for Network Pricing & Analytics. The role focuses on understanding pharmacy reimbursement performance, network economics and the financial drivers that influence client results.

You will build models, forecast outcomes and translate complex data into clear recommendations for senior stakeholders in a hybrid Dublin/Letterkenny setup.

Qualifications

• Bachelor's degree or equivalent professional experience in a quantitative field.
• Proven experience using SQL, Databricks, Python to analyze large datasets across multiple tables.
• Advanced proficiency in Microsoft Excel.
• Experience in financial modelling, forecasting, variance analysis or translating data into business recommendations.

Responsibilities

• Provide analytics support for pharmacy reimbursement strategy, network pricing initiatives and client financial outcomes.
• Analyze large pharmacy claims, pricing and contract datasets to identify financial drivers and trends.
• Build, maintain and quality-check analytical models, datasets and reporting outputs.
• Translate pricing and reimbursement analysis into insights and narratives for stakeholders.
• Partner with internal teams to support decision-making and implement solutions.
• Support process improvement, data stewardship, automation and AI-enabled analytics adoption.

Skills

SQL

Databricks

Python

Excel

Education

Bachelor's degree in Analytics, Mathematics, Economics, Business, Statistics, Engineering, Finance, or related discipline

Job description

Optum is a global healthcare company seeking a Data Analyst for Network Pricing & Analytics. The role focuses on understanding pharmacy reimbursement performance, network economics and the financial drivers that influence client results.

You will build models, forecast outcomes and translate complex data into clear recommendations for senior stakeholders in a hybrid Dublin/Letterkenny setup.