Verisign is a trusted provider of internet infrastructure services delivering DNS performance and reliability. The Data Analyst II, a member of the Business Intelligence and Data Analytics team, analyzes complex business problems using data to provide insights to decision-makers. You will analyze trends in domain name usage, digital service activation, and channel distribution dynamics, and communicate across Marketing, Account Management, Product Management, Finance, and Platform Engineering to translate technical trends into end-user demand insights. Your work will involve studying data trends and presenting data-driven findings with clear visualizations that highlight key trends. Responsibilities include evaluating large datasets with scalable data analysis platforms, defining data acquisition specifications, developing and maintaining data quality processes, researching trends to support briefings and reporting, and supporting actionable recommendations based on relevant metrics. Qualifications: 4+ years of related business and/or data analysis experience; a Bachelor's degree in Computer Science, Data Analytics, or Business or equivalent work experience; experience performing data ETL, designing data collection methods, data models, and transformation processes for relational databases (Oracle/SQL) and distributed data systems (such as Snowflake, Hadoop, Spark) with scripting languages like Python; strong Excel and SQL skills; experience with data visualization tools (Tableau or similar); strong analytical abilities and the capacity to share insights with peers; good pl

Verisign is a trusted provider of internet infrastructure services delivering DNS performance and reliability. The Data Analyst II, a member of the Business Intelligence and Data Analytics team, analyzes complex business problems using data to provide insights to decision-makers. You will analyze trends in domain name usage, digital service activation, and channel distribution dynamics, and communicate across Marketing, Account Management, Product Management, Finance, and Platform Engineering to translate technical trends into end-user demand insights. Your work will involve studying data trends and presenting data-driven findings with clear visualizations that highlight key trends. Responsibilities include evaluating large datasets with scalable data analysis platforms, defining data acquisition specifications, developing and maintaining data quality processes, researching trends to support briefings and reporting, and supporting actionable recommendations based on relevant metrics. Qualifications: 4+ years of related business and/or data analysis experience; a Bachelor's degree in Computer Science, Data Analytics, or Business or equivalent work experience; experience performing data ETL, designing data collection methods, data models, and transformation processes for relational databases (Oracle/SQL) and distributed data systems (such as Snowflake, Hadoop, Spark) with scripting languages like Python; strong Excel and SQL skills; experience with data visualization tools (Tableau or similar); strong analytical abilities and the capacity to share insights with peers; good pl