• Conduct research and analysis of internet infrastructure data to determine the geographic location of IP networks and related internet assets.
• Evaluate multiple data sources and network indicators to improve the accuracy and coverage of TransUnion’s geolocation database.
• Ensure the quality, integrity, and consistency of IP geolocation data through ongoing validation and monitoring activities.
• Investigate networking trends, service providers, routing information, and network topology to support geolocation decisions.
• Analyze large datasets to identify anomalies, data quality issues, and opportunities for database improvements.
• Document research methodologies, findings, and recommendations to support knowledge sharing and operational consistency.
• Collaborate with team members and cross-functional stakeholders to enhance geolocation products, processes, and data accuracy.
• Use analytical tools and databases to extract, manipulate, and interpret data that supports business and product objectives.
• Continuously identify opportunities to improve workflows, research techniques, data quality, and operational processes.
• Develop subject matter expertise in IP geolocation and internet infrastructure to support TransUnion’s IP Intelligence capabilities.

• Minimum of 3 years of experience in data analysis, including working with large and complex datasets to generate insights and support business decisions.
• Knowledge of IP networking fundamentals, including network topology, routing concepts, protocols, and internet service providers, to support geolocation research and data validation.
• Bachelors degree in Computer Information Systems, Geographic Information Systems (GIS), Computer Science, or a related technical field; equivalent combination of education, training, and relevant experience will also be considered.
• Strong analytical and critical thinking skills with the ability to evaluate multiple data points and make informed decisions regarding internet geography and network locations.
• Experience conducting research, documenting findings, and presenting conclusions in a clear and structured manner.

Required Technical Skills

• Proficiency in SQL (Structured Query Language) for querying, analyzing, and validating data.
• Advanced working knowledge of Microsoft Excel for data analysis, reporting, and data quality management.
• Experience using Google BigQuery for large-scale data analysis and investigation.
• Ability to manipulate, analyze, and interpret large datasets to identify trends, anomalies, and improvement opportunities.
• Strong written and verbal communication skills, including the ability to explain technical findings to both technical and non-technical audiences.