Business Intelligence Engineer, Google Cloud

Google Cloud provides enterprise-grade solutions leveraging cutting-edge technology to help organizations digitally transform their businesses.
Data
Mid-Level Software Engineer
In-Person
5,000+ Employees
7+ years of experience
Enterprise SaaS · Cloud
This job posting may no longer be active. You may be interested in these related jobs instead:
Research Data Scientist, Cloud Security

Research Data Scientist position at Google Cloud Security, applying ML and analytics to solve cybersecurity challenges, offering $141K-$202K plus benefits in SF/Sunnyvale.

Business Data Scientist, gTech Ads

Business Data Scientist position at Google's gTech Ads team, focusing on marketing analytics and ML solutions for large clients.

Data Engineer, YouTube Business Technology

Data Engineer position at Google's YouTube division, focusing on building data pipelines and analytics solutions for internal business teams.

Customer Engineer, Data Analytics, Google Cloud (English, Korean)

Customer Engineer position at Google Cloud focusing on data analytics solutions, requiring expertise in cloud architecture and big data technologies, with fluency in English and Korean.

Customer Engineer, Data Analytics, Google Cloud (English, Korean)

Customer Engineer position at Google Cloud focusing on data analytics solutions, requiring expertise in cloud architecture and fluency in English and Korean.

Description For Business Intelligence Engineer, Google Cloud

Google Cloud is seeking a Business Intelligence Engineer to join their team in driving data-informed decision-making across the organization. This role sits at the intersection of data engineering and business analytics, where you'll be responsible for building scaled data products and insights-generating tools to power Google Cloud's growth.

As a BI Engineer, you'll lead the development of centralized reports, dashboards, and analytical tools that showcase the impact of Google Cloud Business Platform. You'll work with both technical and non-technical stakeholders, converting complex business requirements into actionable technical solutions. The role requires expertise in SQL, data visualization tools, and analytics, with preferred experience in programming languages like Python.

The position offers the opportunity to work with cutting-edge technology at one of the world's leading tech companies. You'll be part of Google Cloud's mission to accelerate digital transformation across industries, serving customers in more than 200 countries. The role combines technical expertise with business acumen, as you'll be responsible for creating KPIs and delivering insights to senior leadership.

This is an ideal role for someone with strong analytical skills, experience in data modeling and architecture, and the ability to communicate effectively with cross-functional teams. You'll be working in a collaborative environment, contributing to product direction and scale for the Cloud business. The position offers the chance to make a significant impact on Google Cloud's growth strategy through data-driven insights and solutions.

Google offers a diverse and inclusive work environment, with a strong commitment to equal opportunity employment. The company provides comprehensive benefits and supports work-life balance, making it an attractive destination for talented professionals in the data and analytics field.

Last updated 5 months ago

Responsibilities For Business Intelligence Engineer, Google Cloud

  • Lead development and deployment of centralized reports, dashboards, models and tools to analyze, report, and present data on the impact that Google Cloud Business Platform (GCBP) is having on Google Cloud
  • Build and maintain data pipelines that empower decision making throughout GCBP
  • Convert ambiguous business requests into technical requirements for insightful data products
  • Deliver data products to senior GCBP leaders which deliver better decision-making
  • Aid in the creation of Key Performance Indicators (KPIs) and key results for your business domain
  • Work with Product and Engineering teams to determine and identify key insights and implement useful KPIs for stakeholders

Requirements For Business Intelligence Engineer, Google Cloud

Python
  • Bachelor's degree or equivalent practical experience
  • 7 years of analytics experience (i.e., BI, data engineering/science, etc.) using SQL
  • 6 years of experience with data analysis/modeling/architecture, developing data sets and creating visualizations using tools such as Looker, Looker Studio, Tableau, Power Business Intelligence (BI) or similar technologies
  • 5 years of experience working with cross-functional stakeholders

Interested in this job?