Business Intelligence Developer Lead, Google Cloud (English)

1 Month ago • 10 Years + • Data Analyst

Job Summary

Job Description

As a Business Intelligence (BI) Developer Lead, you will design, develop, and implement robust BI solutions providing insights to leadership. This involves architecting data marts, constructing efficient data pipelines, and automating reporting processes. You'll transform data into compelling visualizations, helping stakeholders understand business impact. Collaboration with cross-functional teams is crucial to deliver quality data solutions supporting growth objectives. Responsibilities include partnering with stakeholders to define KPI frameworks, developing robust data infrastructure (SQL scripts, datasets, models, dashboards), transforming data into insights via data models and automated reporting, and leading projects from conception to delivery, ensuring data solutions offer relevant insights to drive business growth. The role requires fluent English communication with US and Canada-based partners.
Must have:
  • 10+ years in data modeling/BI projects
  • SQL query writing expertise
  • BI tool experience (Looker, Tableau, Power BI)
  • Data structure/pipeline design
  • Fluent English communication
Good to have:
  • PhD in STEM
  • Data Science experience (Sales, Marketing, Customer Support)
  • NLP, LLMs, Generative AI, R experience
  • Data analysis & presentation skills
  • Data Science publications/presentations

Job Details


Minimum qualifications:

  • Bachelor's degree or equivalent practical experience.
  • 10 years of experience in data modeling, developing data sets, or leading BI projects.
  • Experience writing SQL queries.
  • Experience using BI tools like Looker, Tableau, or Power BI to create visualizations and dashboards.
  • Experience designing and building data structures, data pipelines, data marts, or data warehouses.
  • Ability to communicate in English fluently as this is a role that requires communication with US and Canada based partners.

Preferred qualifications:

  • PhD in a STEM field.
  • Experience in a Data Science role supporting Sales, Marketing, or Customer Support.
  • Experience in Natural Language Processing (NLP), Large Language Models (LLMs), Generative AI, and R.
  • Experience drawing conclusions from data, breaking down technical concepts into simple terms, connecting with, and presenting to, technical and non-technical stakeholders, and recommending actions.
  • Publications related to Data Science, posters or presentations in AI/ML conferences, or patents.

About the job

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 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 with cross-functional teams to deliver 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.

Responsibilities

  • Partner with stakeholders to define and gather requirements for building KPI frameworks that effectively 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 to propel the growth of the business.

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