Business Intelligence Developer, Google Cloud

Minimum qualifications:

• Bachelor’s degree or equivalent practical experience.
• 2 years of experience in Business Intelligence or Data Analytics.
• 2 years of experience in SQL and Data Visualization (e.g., Looker, Tableau, Power BI, Qlik, or similar technologies).

Preferred qualifications:

• Experience with scripting languages such as Python, Go, JavaScript, or HTML for data manipulation, analysis, and automation.
• Experience with big data technologies (e.g., Hadoop, Spark, Python, or R).
• Experience with explaining technical analysis to stakeholders.
• Experience with data warehousing or data modeling concepts.
• Proficiency in cloud-based data platforms and related BI services.
• 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 our organization. You will design, develop, and implement robust BI solutions that provide actionable insights to leadership. This involves architecting data marts, constructing efficient data pipelines, and automating reporting processes. Your ability to transform data into compelling visualizations will be crucial in helping stakeholders understand the business impact of their decisions. You will collaborate closely with cross-functional teams to deliver high-quality data solutions that support our 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 effectively track revenue and measure the success of key business strategies.            
• Develop robust data infrastructure, which includes building SQL scripts, creating data sets, crafting analytical models, and designing user-friendly dashboards.           
• Transform raw data into actionable insights by developing data models, data marts, and automating reporting processes to provide leadership with a clear picture of key business and process performance.            
• Lead assigned projects from conceptualization to delivery and ensure your data solutions offer relevant, high-quality data and insights to propel the growth of the business.