Business Intelligence Developer, Google Cloud (English)

Minimum qualifications:

• Bachelor's degree or equivalent practical experience.
• 2 years of experience in Business Intelligence or Data Analytics
• Experience writing SQL queries.
• Experience using Business Intelligence (BI) tools like Looker, Tableau, or Power BI to create visualizations and dashboards.
• Ability to communicate in English fluently as this is a role that requires communication with US and Canada based partners.

Preferred qualifications:

• MBA, Master's degree, or advanced degree in a technical or scientific field of study.
• Experience with scripting languages such as Python, Go, JavaScript, or HTML for data manipulation, analysis, and automation.
• Experience in cloud-based data platforms and related BI services.
• Experience supporting data-driven business operations, consulting, or program management and cross-functional BI initiatives in a cloud business.
• Knowledge of statistical modeling, Machine Learning (ML), 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 driving data-driven 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 quality 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.

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