Senior Data Analyst - Hybrid Health Analytics

Optum; Dublin; Hybrid; EUR 70,000 - 110,000; Full time

Job summary

Optum in Ireland is seeking a Senior Data Analyst to develop data insights supporting Payment Integrity value optimization and transformation. The role collaborates with data and transformation leaders to align requirements and drive results in a hybrid Dublin/Letterkenny setup.

You'll analyze medium/large datasets, build self-serve analytics, and communicate findings to stakeholders while ensuring accuracy and auditable outputs.

Qualifications

• Bachelor's degree or equivalent professional experience.
• Proven experience in financial modeling, including actuarial systems or insurance pricing tools.
• Proven experience working with reporting and visualisation tools (PowerBI, Tableau etc)
• Demonstrated proficiency in programming using SQL, VBA, or similar coding languages
• Demonstrated ability to partner with business stakeholders to capture and document requirements
• Demonstrated solid problem-solving and communication skills

Responsibilities

• Develop data insights that support Payment Integrity Value Optimisation and Transformation.
• Collaborate with data, Transformation leaders, and Data Stewards to align requirements and constraints.
• Develop tracking, reporting and self-serve analytical solutions to monitor trends and drive transformation agenda.
• Concisely summarize and communicate results to key stakeholders.
• Provide quality checks to ensure high standard and accurate data.
• Ensure outputs are auditable and aligned with business expectations.
• Partner with internal customers and key stakeholders to translate business needs into analytical solutions.
• Collaborate independently with SMEs and cross functional partners

Skills

SQL

PowerBI/Tableau

Financial modeling

Actuarial systems

Education

Bachelor's degree or equivalent

Tools

SQL

VBA

Job description

Optum in Ireland is seeking a Senior Data Analyst to develop data insights supporting Payment Integrity value optimization and transformation. The role collaborates with data and transformation leaders to align requirements and drive results in a hybrid Dublin/Letterkenny setup.

You'll analyze medium/large datasets, build self-serve analytics, and communicate findings to stakeholders while ensuring accuracy and auditable outputs.