Data Operations Analyst: Data Quality & Automation

Verisk; Kraków; Hybrid; PLN 86,000 - 92,000; Full time

Benefits offered by this job

Private life insurance

Private medical care

Multisport card

Job summary

Verisk in Kraków is seeking a Data Operations professional to support the Data Ops CoE, ensuring data acquisition, onboarding, validation, and maintenance for analytics-driven solutions.

You will monitor data sources, resolve collection issues with IT and Government Relations, and drive process improvements. The role emphasizes high data quality and structured, detail-oriented work within a hybrid setup.

Qualifications

• Fluent English (minimum B2 level), with the ability to communicate effectively in both written and spoken business environments.
• Proficiency in Microsoft Excel.
• Familiarity with SQL, Snowflake, or Power BI is a nice to have but not required.

Responsibilities

• Perform daily monitoring of data sources and automated data collection processes to ensure successful execution, completeness, and data quality.
• Investigate and help resolve data collection issues by collaborating with internal partners, including IT and Government Relations teams.
• Gain a solid understanding of business processes and recommend enhancements related to data quality, process efficiency, error detection, and automation.
• Utilize analytical tools, including Snowflake, to support operational analysis and generate insights.
• Create, maintain, and update process documentation, and operational guidelines.
• Leverage AI-powered tools to improve productivity and optimize daily workflows.

Skills

English fluency

Excel

SQL

Education

Global collaboration

Tools

Snowflake

Power BI

Job description

Verisk in Kraków is seeking a Data Operations professional to support the Data Ops CoE, ensuring data acquisition, onboarding, validation, and maintenance for analytics-driven solutions.

You will monitor data sources, resolve collection issues with IT and Government Relations, and drive process improvements. The role emphasizes high data quality and structured, detail-oriented work within a hybrid setup.