Business Intelligence Developer II, Google Cloud

Minimum qualifications:

• Bachelor's degree or equivalent practical experience.
  
• 6 years of experience in data modeling, developing data sets, or creating data visualizations.
  
• Experience writing SQL queries.
  
• Experience using BI tools such as Looker, Tableau, or Power BI to create visualizations and dashboards.
  
• Experience designing and building data structures, data pipelines, data marts, or data warehouses.
  

Preferred qualifications:

• MBA, Master's degree, or other advanced degree in a technical or scientific field of study.
  
• Experience in cloud-based data platforms and related BI services.
  
• Experience supporting data-driven business operations, consulting, or program management and strategic cross-functional BI initiatives in a cloud business.
• Experience with scripting languages such as Python, Go, JavaScript, or HTML for data manipulation, analysis, and automation.
  
• Experience with statistical modeling, machine learning, or data mining techniques.
• Ability to communicate technical concepts to both technical and non-technical audiences.

As a Business Intelligence (BI) Developer, you will be instrumental in delivering decision-making across the organization. You will design, develop, and implement BI solutions that provide insights to leadership. This involves architecting data marts, constructing efficient data pipelines, and automating reporting processes. You will collaborate with cross-functional teams to deliver data solutions that support growth objectives.

Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’s cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.

• Partner with stakeholders to define and gather requirements for building KPI frameworks that track business and measure the success of key business strategies.
• Develop data infrastructure, which includes building SQL scripts, creating data sets, crafting models, and designing user-friendly dashboards.
• Transform data into insights by developing data models, data marts, and automating reporting processes to provide leadership with key business and process performance.
• Lead assigned projects from conceptualization to delivery and ensure data solutions offer data and insights to enhance the growth of the business.