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Data Analytics Associate Jobs in British Columbia

Participate in CI/CD pipeline development and deployment activities for data pipelines, analytics ... Cloud certifications (GCP Associate Cloud Engineer, GCP Professional Data Engineer, or equivalent)

Research Associate

Vancouver, BC · On-site

CA$6.3K/mo

Academic Job Category Faculty Non Bargaining Job Title Research Associate Department McKeown ... Must have experience with / or been responsible for data analyses, writing of manuscripts ...

JOB SUMMARY The Research Associate is responsible for initiating and leading research projects, leading research interviews and data analysis. The incumbent will design and lead and liaise with Dr.

Senior Data Developer

Vancouver, BC · Hybrid

CA$46.39 - CA$66.68/hr

We are looking to utilise AI to maximise efficiency across the Data and Analytics team to enhance ... Microsoft Azure Data Engineer Associate). Knowledge & Abilities * Proven ability to develop, deploy ...

Senior Data Developer

Vancouver, BC · Hybrid

CA$46.39 - CA$66.68/hr

We are looking to utilise AI to maximise efficiency across the Data and Analytics team to enhance ... Microsoft Azure Data Engineer Associate). Knowledge & Abilities * Proven ability to develop, deploy ...

Junior Data Engineer

Victoria, BC · On-site

CA$70K - CA$85K/yr

... Associate Data Engineer to join our Market Performance Group in transforming our real-world raw data into valuable and credible industry leading metrics that provide insights to our analysts and our ...

Senior IT Auditor

Vancouver, BC · Hybrid

$80K - $90K/yr

Senior Associate, Technology Risk & Advisory | Vancouver, BC | Hybrid ABOUT STRIVE STRIVE ... Contribute to practice innovation through AI, automation, data analytics, and continuous ...

This role will focus on translating advanced analytics, machine learning, and generative AI use ... Cloud AI / ML certifications (e.g., Azure AI Engineer Associate or better, AWS Machine Learning ...

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Showing results 1-20

Data Analytics Associate information

See British Columbia salary details

$27K

$70K

$126K

How much do data analytics associate jobs pay per year?

As of Aug 7, 2026, the average yearly pay for data analytics associate in British Columbia is $69,957.00, according to ZipRecruiter salary data. Most workers in this role earn between $38,000.00 and $101,000.00 per year, depending on experience, location, and employer.

What does a data analytics associate do?

A Data Analytics Associate is responsible for collecting, processing, and analyzing data to help organizations make informed business decisions. They use statistical tools and data visualization techniques to identify trends, patterns, and insights from large datasets. Typically, they collaborate with different departments to interpret results, create reports, and provide actionable recommendations for process improvements or strategic planning. Their work is crucial for organizations looking to leverage data for competitive advantage.

How does a data analytics associate typically collaborate with other departments within a company?

Data Analytics Associates frequently work cross-functionally, partnering with teams such as marketing, finance, and operations. They help these departments interpret data, identify trends, and develop actionable insights that inform decision-making. Collaboration often involves attending meetings, participating in project teams, and communicating findings through reports or presentations. This close teamwork not only enhances business outcomes but also provides associates with exposure to different aspects of the organization, fostering professional growth.

What are the key skills and qualifications needed to thrive as a data analytics associate?

To thrive as a Data Analytics Associate, you need strong analytical skills, proficiency in statistics, and a relevant degree in fields like mathematics, economics, or computer science. Familiarity with data analysis tools such as SQL, Python, Excel, and visualization platforms like Tableau is typically required. Exceptional problem-solving abilities, attention to detail, and effective communication are crucial soft skills for interpreting data and presenting findings. These skills ensure accurate data-driven insights that support informed business decisions and drive organizational success.
What are the most commonly searched types of Data Analytics jobs in British Columbia? The most popular types of Data Analytics jobs in British Columbia are:
Infographic showing various Data Analytics Associate job openings in British Columbia as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $69,957 per year, or $33.6 per hour.

L3 Data Management (GCP)

TELUS

Vancouver, BC • On-site, Remote

Other

Re-posted 26 days ago


TELUS rating

8.2

Company rating: 8.2 out of 10

Based on 10 frontline employees who took The Breakroom Quiz

23rd of 97 rated telecommunications companies


Job description

Description

Our team and what we'll accomplish together


Be a part of a transformational journey with us, where innovative talent meets cutting-edge technologies. At TELUS, the Data and AI Insights team is dedicated to making TELUS the most insights-driven company globally. We provide business intelligence, data assets, data products, business metrics and data Engineering that drive and enable BI and analytics to support over 15,000 employees across diverse internal teams.

We are seeking a motivated and skilled Data Management Professional with hands-on experience in Google Cloud Platform (GCP) and BigQuery (BQ) to join our dynamic team. The ideal candidate will have a solid background in data engineering, BI solutions, and cloud-based data pipelines, with some exposure to CI/CD practices. In this role, you will collaborate with cross-functional teams to help implement and manage cloud-based data solutions while ensuring quality, compliance, and performance. You will also have the opportunity to grow your skills under the mentorship of senior team members.

What you'll do

  • Contribute to the design and implementation of cloud-based data solutions on Google Cloud Platform (GCP) and BigQuery to support business intelligence (BI) and data analytics requirements
  • Support the development and maintenance of ETL (Extract, Transform, Load) processes and integration workflows to ingest, process, and transform data from various sources
  • Participate in CI/CD pipeline development and deployment activities for data pipelines, analytics models, and applications
  • Apply and follow best practices for automated regression testing to ensure the reliability and accuracy of data solutions
  • Assist in implementing change management and release management strategies to support smooth deployments
  • Follow the established Software Development Lifecycle (SDLC) process for cloud-based projects, including requirements gathering, development, testing, and documentation
  • Help enforce data compliance practices to protect data assets and support regulatory compliance (e.g., SOX)
  • Develop and optimize data models and explores within the Looker platform under guidance from senior team members
Qualifications
  • 4-6 years of experience with SQL / PL SQL, Stored Procedures, BigQuery, and data pipeline development
  • 2-3 years of experience in cloud-based data engineering with a focus on Google Cloud Platform (GCP)
  • Experience with version control tools (e.g., Git, Bitbucket) and CI/CD concepts
  • Familiarity with dashboard and visualization tools such as Tableau, Looker, or Looker Studio
  • Experience with data pipeline tools (e.g., Dataflow) and building datasets for analytics
  • Understanding of DevOps and automation principles
  • Strong communication and interpersonal skills with the ability to collaborate effectively with cross-functional teams

Great-to-haves

  • Cloud certifications (GCP Associate Cloud Engineer, GCP Professional Data Engineer, or equivalent)
  • Exposure to IaC tools such as Terraform or Pulumi
  • Familiarity with containerization technologies (e.g., Docker, Kubernetes)
  • Experience with Snowflake or Postgres SQL
  • Knowledge of security and compliance standards (e.g., SOX, GDPR) for cloud environments
  • Experience with Azure or AWS
  • Bachelor's degree in Computer Engineering, Computer Science, or a related field

Join our team and be part of a dynamic environment where your expertise will make a significant impact on our success.

#LI-Remote #LI-HYBRID 


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