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Business Intelligence jobs in Canada

GCP Data Analyst - BigQuery (Canada)

Rackspace Technology

Toronto
On-site
CAD 140,000 - 246,000
30+ days ago
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Customer Success Manager

Panoptyc

Canada
Remote
CAD 55,000 - 70,000
30+ days ago

Lead, Corporate Accounting

Capital Power

Edmonton
Hybrid
CAD 80,000 - 110,000
30+ days ago

Senior Data Architect

HRB

Toronto
On-site
CAD 90,000 - 130,000
30+ days ago

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GCP Data Analyst - BigQuery (Canada)
Rackspace Technology
Toronto
On-site
CAD 140,000 - 246,000
Full time
30+ days ago

Job summary

A leading technology company is seeking a skilled Data Analyst to contribute to innovative cloud solutions. This role involves executing complex SQL queries, utilizing advanced analytics, and collaborating with teams to enhance data accuracy. The ideal candidate will have a solid background in data analysis, experience with Google Cloud Platform, and the ability to handle large datasets proficiently. Join an inclusive environment committed to equal opportunity and innovation.

Benefits

Comprehensive benefits package
Opportunity for performance-based bonuses
Collaborative work environment

Qualifications

  • 5+ years of experience in data analyst or analytics engineering roles.
  • Strong ability to write and optimize SQL queries.
  • Proficient in Python, including use of data frames and analytical libraries.

Responsibilities

  • Write, optimize, and execute complex SQL queries in BigQuery.
  • Analyze large datasets to assess data quality and identify anomalies.
  • Collaborate with engineering teams to understand data pipelines.

Skills

SQL
Python
Data Analysis
BigQuery

Education

Bachelor’s degree in Computer Science
Bachelor’s degree in Data Science
Bachelor’s degree in Engineering

Tools

Google Cloud Platform
Looker
BigQuery ML
Job description

Employer Industry: Multicloud Solutions

Why consider this job opportunity:
- Salary up to $245,520
- Opportunity for performance-based bonuses and commissions
- Comprehensive benefits package offered
- Work with advanced technologies in a collaborative environment
- Named a best place to work by Fortune, Forbes, and Glassdoor
- Chance to contribute to innovative cloud solutions and customer success

What to Expect (Job Responsibilities):
- Write, optimize, and execute complex SQL queries in BigQuery to validate data accuracy and support analytics.
- Analyze large datasets to assess data quality and identify anomalies.
- Utilize advanced BigQuery features to support scalable, high-performance analysis.
- Use Python for exploratory analysis, data manipulation, and validation workflows.
- Collaborate with engineering teams to understand data pipelines and assist with data consistency during migrations.

What is Required (Qualifications):
- Bachelor’s degree in Computer Science, Data Science, Engineering, or a related field.
- 5+ years of experience in data analyst or analytics engineering roles with strong BigQuery, SQL, and Python skills.
- 5+ years of experience building and operating solutions on Google Cloud Platform (GCP).
- Strong ability to write and optimize SQL queries for data validation and trend analysis.
- Proficient in Python, including use of data frames and common analytical libraries.

How to Stand Out (Preferred Qualifications):
- Familiarity with Looker or other BI tools for metric validation and reporting support.
- Experience with BigQuery ML and Vertex AI.
- Basic familiarity with legacy systems such as Oozie or Pig for reading existing scripts.

#MulticloudSolutions #DataAnalysis #SQL #BigQuery #Python #CloudTechnology

We prioritize candidate privacy and champion equal-opportunity employment. Central to our mission is our partnership with companies that share this commitment. We aim to foster a fair, transparent, and secure hiring environment for all. If you encounter any employer not adhering to these principles, please bring it to our attention immediately.
We are not the EOR (Employer of Record) for this position. Our role in this specific opportunity is to connect outstanding candidates with a top-tier employer.

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* The salary benchmark is based on the target salaries of market leaders in their relevant sectors. It is intended to serve as a guide to help Premium Members assess open positions and to help in salary negotiations. The salary benchmark is not provided directly by the company, which could be significantly higher or lower.

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