Senior Data Analyst - Audit Analytics (Hybrid, Kraków)

Aon Corporation

Kraków

Hybrid

PLN 180,000 - 240,000

Full time

14 days+

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Job summary

Aon Corporation in Kraków is seeking a Senior Data Analyst to join the Global Internal Audit team. You will enhance audit quality and risk insights through advanced analytics, blending hands-on data work with global collaboration.

The role requires 5+ years in data analytics, strong SQL/ETL and BI skills, and the ability to translate business needs into scalable analytics solutions. A hybrid 50/50 in-office/remote work model is offered.

Qualifications

  • Minimum 5 years of experience in data analytics and a degree in Computer Science, Data, Finance, or Engineering
  • Experience with databases (e.g., MS SQL) and modern data platforms (Snowflake, Databricks, Microsoft Fabric)
  • Proficiency in Python or R and handling large datasets
  • Hands-on experience with Power BI and advanced Excel; familiarity with Microsoft Power Platform is a plus
  • Strong communication skills and ability to translate business needs into analytics solutions

Responsibilities

  • Monitor analytics requests, deliver insights, identify trends, anomalies, and risks to support audit excellence
  • Design, develop, and maintain scalable data pipelines, dashboards, and reporting solutions
  • Automate workflows and improve efficiency using tools like Copilot and related AI capabilities
  • Collaborate with global partners to gather requirements and convert business needs into technical solutions
  • Support ETL processes from various systems and prepare clear visualizations for technical and non-technical audiences
  • Develop and maintain analytics documentation, standards, and guidelines

Job description

Aon Corporation in Kraków is seeking a Senior Data Analyst to join the Global Internal Audit team. You will enhance audit quality and risk insights through advanced analytics, blending hands-on data work with global collaboration.

The role requires 5+ years in data analytics, strong SQL/ETL and BI skills, and the ability to translate business needs into scalable analytics solutions. A hybrid 50/50 in-office/remote work model is offered.

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