Senior Business Intelligence Developer, Google Cloud (English)

Minimum qualifications:

• Bachelor's degree or equivalent practical experience.
• 7 years of experience in data modeling, developing data sets, or creating data visualizations.
• Experience writing SQL queries.
• Experience using BI tools like Looker, Tableau, or Power BI to create visualizations and dashboards.
• Ability to communicate fluently in English to engage with clients in the region.

Preferred qualifications:

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

About the job:

As a Senior Business Intelligence (BI) Developer, you will be instrumental in delivering data-driven decision-making across our organization. You will design, develop, and implement BI solutions that provide insights to leadership. You will help stakeholders understand the business impact of their decisions and will collaborate with cross-functional teams to deliver 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.

Responsibilities:

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