Data Analyst II

Verisign helps enable the security, stability, and resiliency of the internet. We are a trusted provider of internet infrastructure services for the networked world and deliver unmatched performance in domain name system (DNS) services.

We are a mission focused, values driven company where each individual can contribute to building a stronger, more secure internet. We offer a dynamic and flexible work environment with competitive benefits and the ability to grow your career.

The Data Analyst II, as a member of the Business Intelligence and Data Analytics team, analyzes and helps solve complex business problems using data and available resources to provide insight to decision-makers.

In this role, you will analyze trends in domain name usage, digital service activation and channel distribution dynamics. The role requires consistent communication across teams -- including Marketing, Account Management, Product Management, Finance, and Platform Engineering -- to translate between technical and behavior trends and end-user demand characteristics. Your work on the team will involve studying data trends and patterns to derive insights that support data-driven presentations with creative visualizations highlighting key trends.

• Evaluate extensive datasets leveraging large-scale data analysis platforms to explain how end users are utilizing domain names
• Create specifications for data acquisition to support exploration of emerging technologies impacting the global DNS
• Develop and maintain manual and automated processes to ensure data quality and integrity
• Research trends to support briefings, presentations, and reporting on business performance and progress relative to plans
• Support the formation of recommendations and strategic/tactical plans based on capturing relevant business metrics

• 4+ years of progressively responsible, related business and/or data analysis experience
• Bachelor’s degree in either Computer Science, Data Analytics or Business, or equivalent work experience, is required
• Experience performing data ETL, including 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 required, with hands-on experience with data visualization tooling (such as Tableau or similar tools)
• Strong analytic skills and the ability to share insights with peers
• Demonstrable planning and organization skills