NetApp Marketing Data Business Analyst 

United States, North Carolina 

53554600

The Marketing Data Science Business Analyst is a person who can author efficient SQL but also understands how to effectively define business and software requirements. Being a strong communicator, you will partner with our stakeholders and help them develop requirements for their projects. Working in tandem with the Data Science and Strategy (DSS) project manager and senior members of the team you will develop the necessary workflow and timelines. It will then be up to you to author all SQL objects, solution documentation and teach others how to use them.

• Assist developers in writing SQL queries that interact with a BigQuery database, ensuring these queries execute efficiently utilizing minimal resources
• Maintain our BigQuery instance to ensure custom views, tables are kept up to date and are running properly per design specifications
• Collaborate with senior members of the team to understand their workflow and best practices
• Work with stakeholders and the DSS program manager to develop requirements for data products within NetApp Marketing
• Communicate project status, challenges and insights to stakeholders so they can understand impacts to timelines, data needs for the creation of dashboards or reports
• Create visual representations of information systems to clarify business needs and data requirements

• Strong communicator with the ability to solicit, interpret and design marketing data requirements to support business needs
• 3+ years of experience with writing SQL, preferably within the BigQuery environment
• Proven track record of strong customer service and communication with the ability to do so via either written or verbal communication mediums
• Ability to communicate at all levels and drive strategic business value based on stakeholder requirements
• Attention to detail to ensure accurate SQL outputs (data integrity) in the form of views, tables or sharable code for PowerBI dashboard generation
• Experience working with marketing datasets including attribution modeling, lead scoring, web analytics. Knowledge of BQML is a strong plus.