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Google

Business Intelligence Analyst, Google Cloud Support

  • Seen live on Google's site today
  • Mid level
Pay
$122k to $125k a year CAD
Location
Canada
Open for
5 days
First seen
Oct 30, 2026
Apply on Google's site (opens in a new tab)

Posting record

No flags

Open 5 days

The posting's record, oldest first
  1. Ghostless first sees this listing
  2. Last checked: still up
How we know

It hasn't been reposted, listed twice, or left up unusually long, and the posting doesn't say it's a talent pool.

Ghostless records the day it first sees a posting, so a repost can't reset its age.

Last checked Nov 4, 2026.

How well do you match?

See how much of this posting your resume shows, and what it's missing.

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What it asks of you

4+ years of experience
“4 years of experience in data modeling, developing data sets, or creating data visualizations.” (quoted from the posting)
Bachelor's degree asked for
“Bachelor's degree or equivalent practical experience.” (quoted from the posting)
Equivalent experience accepted instead of a degree
“Bachelor's degree or equivalent practical experience.” (quoted from the posting)

What the posting discloses

Pay
$122k to $125k a year CAD
Canada: $122000 - $125000 (CAD) + 15% bonus target + equity + benefits (quoted from the posting)

Not stated: Real vacancy, AI screening.

Why these three

Ontario requires postings from employers with 25 or more staff to state the pay, whether the vacancy exists, and whether AI screens applicants.

Skills mentioned

About the role

Minimum qualifications

  • Bachelor's degree or equivalent practical experience.
  • 4 years of experience in data modeling, developing data sets, or creating data visualizations.
  • Experience writing SQL queries and utilizing BigQuery.
  • Experience using BI tools like Looker, Tableau, or Power BI to create visualizations and dashboards.
  • Experience in project management and presenting analyses to leadership or senior stakeholders.

Preferred qualifications

  • MBA, Master's degree, or advanced degree in a technical or scientific field of study.
  • Experience supporting data-driven sales operations, consulting, or program management and strategic cross-functional BI initiatives in a cloud business.
  • Experience with scripting languages such as Python, Go, JavaScript, or HTML for data manipulation, analysis, and automation.
  • Proficiency in cloud-based data platforms and related BI services.
  • Familiarity with statistical modeling, machine learning, or data mining techniques.
  • Ability to communicate complex technical concepts to both technical and non-technical audiences.

About the job

As a Business Intelligence Analyst in Cloud Support, you will play a key role in building, maintaining, and securing high-quality, single-source-of-truth (SSOT) data systems. Sitting at the intersection of data developing, business operations, and analytics, you will collaborate with other BI analysts, developers, and program managers to design metrics, automate workflows, and create advanced Looker dashboards with AI enablement to drive customer experience and operational efficiency.

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.

Individual pay is determined by factors including job-related skills, experience, and relevant education or training.

Canada: $122000 - $125000 (CAD) + 15% bonus target + equity + benefits

Learn more about benefits at Google .

Responsibilities

  • Partner with Cloud Support operations and leadership teams to define and gather requirements for translating support strategy into BI requirements, building and supporting multi-year roadmaps.
  • 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.

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