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Analytics Engineer Jobs in British Columbia (NOW HIRING)

Perform technical engineering tasks such as operational analyses and trade‑off studies to define system designs and subsystem requirement details. * Devise practical, cost‑effective solutions for ...

RAM Engineer

Vancouver, BC · On-site +1

CA$97K - CA$144K/yr

The RAM Engineer develops reliability analyses, maintainability studies, performance models, maintenance concepts, and RAM requirements. Familiarity with system safety concepts and interaction ...

RAM Engineer

Vancouver, BC · On-site +1

CA$97K - CA$144K/yr

The RAM Engineer develops reliability analyses, maintainability studies, performance models, maintenance concepts, and RAM requirements. Familiarity with system safety concepts and interaction ...

Collate and analyze data using preset tools, methods, and formats. Involves working independently ... Engineering Solutions Design: Contribute to the development of, and implement feasibility testing ...

Project Engineer

Burnaby, BC · On-site

CA$96K - CA$130K/yr

Experience with structural analysis software and Bluebeam. Compensation and Benefits $96,000 - $130 ... About WHM Structural Engineers WHM Structural Engineers is a Canadian structural engineering firm ...

Help shape a modern data and analytics foundation that powers real-time insights, AI-driven ... The Lead Data Engineer provides technical leadership for the design, development, and evolution of ...

Programmer Analyst I

Vancouver, BC · Hybrid

CA$7.1K - CA$10K/mo

Job Summary The Programmer Analyst I supports the Learning Technology Hub with the design ... Contributes to data pipelines and data-lake / analytics infrastructure - ingestion, ETL/ELT, and ...

Help shape a modern data and analytics foundation that powers real-time insights, AI-driven ... The Lead Data Engineer provides technical leadership for the design, development, and evolution of ...

Prepare civil related engineering reports and analyses. * Prepare construction cost estimates, project specifications and contract documents. * Perform engineering calculations for water, sewer, and ...

Showing results 41-60

Analytics Engineer information

See British Columbia salary details

$62.5K

$109.1K

$178K

How much do analytics engineer jobs pay per year?

As of Sep 3, 2026, the average yearly pay for analytics engineer in British Columbia is $109,135.00, according to ZipRecruiter salary data. Most workers in this role earn between $81,500.00 and $122,500.00 per year, depending on experience, location, and employer.

What is an analytics engineer?

An Analytics Engineer is a professional who bridges the gap between data engineering and data analysis. They are responsible for designing, building, and maintaining data models, pipelines, and analytics tools that enable organizations to make data-driven decisions. Analytics Engineers often work closely with data analysts and business stakeholders to ensure clean, reliable, and well-structured data is available for reporting and analysis. Their work typically involves using SQL, data transformation tools like dbt, and cloud data warehouses to create scalable and efficient data solutions.

How does an analytics engineer typically collaborate with data scientists and business stakeholders on projects?

Analytics Engineers play a critical bridge role between data engineering and data analysis. They work closely with data scientists to transform raw data into clean, reliable datasets that are ready for advanced analytics or modeling. At the same time, they collaborate with business stakeholders to understand reporting needs, ensuring that data models align with business goals. Regular communication and iterative feedback are key, as Analytics Engineers often gather requirements, build data pipelines, and adjust data products based on stakeholder input.

What are the key skills and qualifications needed to thrive as an analytics engineer, and why are they important?

To thrive as an Analytics Engineer, you need a strong foundation in data modeling, SQL, and analytics engineering principles, often supported by a degree in computer science, data science, or a related field. Proficiency with data transformation tools such as dbt, cloud data warehouses like Snowflake or BigQuery, and version control systems like Git is essential. Strong problem-solving skills, communication, and collaboration abilities help translate business needs into scalable data solutions and foster teamwork. These skills and qualities are crucial for ensuring data quality, building reliable analytics infrastructure, and enabling data-driven decision-making across organizations.

What is the difference between Analytics Engineer vs Data Engineer?

AspectAnalytics EngineerData Engineer
CredentialsOften requires SQL, Python, data modeling certificationsRequires similar skills, often with additional focus on infrastructure and systems
Work EnvironmentFocuses on data analysis, visualization, and reportingBuilds data pipelines, manages data infrastructure
Industry UsageCommon in analytics teams, BI, and data-driven rolesPrevalent in data engineering, data platform teams

While both roles work closely with data, Analytics Engineers primarily focus on transforming data for analysis and visualization, whereas Data Engineers build the infrastructure and pipelines that enable data access. Understanding these differences helps in choosing the right career path or job role.

Do analytics engineers make good money?

Analytics engineers typically earn competitive salaries that vary by experience, location, and industry. They often have skills in SQL, data modeling, and tools like Python or Spark, which can contribute to higher compensation. Overall, the role is considered well-paying within the data and analytics field.

What do analytics engineers do?

Analytics engineers design, build, and maintain data pipelines and infrastructure to enable data analysis and reporting. They work with tools like SQL, Python, and data warehouses to ensure data is accurate, accessible, and well-structured for business insights.

What are the most commonly searched types of Analytics Engineer jobs in British Columbia?

The most popular types of Analytics Engineer jobs in British Columbia are:

What are popular job titles related to Analytics Engineer jobs in British Columbia?

For Analytics Engineer jobs in British Columbia, the most frequently searched job titles are:

What job categories do people searching Analytics Engineer jobs in British Columbia look for?

The top searched job categories for Analytics Engineer jobs in British Columbia are:

Infographic showing various Analytics Engineer job openings in British Columbia as of August 2026, with employment types broken down into 86% Full Time, 10% Part Time, and 4% Contract. Highlights an 86% Physical, 5% Hybrid, and 9% Remote job distribution, with an average salary of $109,135 per year, or $52.5 per hour.

Senior Data & Reporting/Business Analyst - GFT

Royal Bank of Canada

Vancouver, BC

Full-time

Posted 29 days ago


Job description

Job Description

What is the Opportunity?

The global functions technology group supports Finance and Risk Business partners by using our extraordinarily rich data set that spans multiple versions and geographies globally and captures detailed datasets. Our focus lies on building creative solutions that have an immediate impact on the business of our highly analytical partners. We work in complementary teams comprising members from Data Engineering and various groups at the Bank. To support our rapidly growing group we are looking for Senior Data Analyst/Engineer who are equally passionate about the opportunity to use rich data to tackle meaningful business problems. The candidate will apply extensive, in-depth knowledge, skills, and practices to perform complex assignments to bridge the gap between business and technology by delivering critical insights and analysis to shape strategy, evolve data connectivity, and provide insights into data transformation.

What will you do?

  • Utilize Hive/SQL/ Python to perform daily data analysis and advanced data mining and analytics on large transactional datasets

  • Work closely with Program sponsors, SMEs in various business areas, technology teams to finalize functional business requirements and support implementation activities

  • Make recommendations and build use cases on new sources of value by addressing the biggest gaps in our data sources in relation to completeness

  • Find opportunities to create and automate repeatable analyses or build self-service tools for business users

  • Research industry metrics and business context and bring this context to bear in analyses

  • Oversee processes such as data gathering, transformation, reporting, and advanced analytics to ensure the integrity and reliability of large datasets.

  • Drive the highest standards of quality, rigor, and thought leadership across the entire data lifecycle.

What do you need to Succeed?

Must have:

  • Solid understanding of Finance business processes such as Balance Sheet Reporting, Profit and Loss Reporting, Capital Reserve Reporting, Capital Markets products and processes, and Regulatory Reporting

  • Minimum of 5+ years of analytical experience in applying solutions to business problems in relevant fields such as analytics, business requirements, consulting, or other data-driven functions

  • Demonstrated Experienced in quantitative, qualitative, analytical, problem solving, and critical thinking skills.

  • Exceptional storytelling skills, with a track record of translating complex data into compelling business insights. Ability to communicate findings derived from complex analytics to Senior Leadership, both verbally and visually.

  • Experienced in databases, data engineering, ETL, ELT concepts with utilizing querying, automation, and big data technologies (e.g. Python, SQL, Spark, Teradata, Hadoop, Snowflake, Databricks) to produce repeatable insights

  • Proficiency with creating compelling presentations

  • Adept in leveraging AI tools for faster writing of queries and scripts and impact assessment by scanning through the code

  • Adept in leveraging AI tools to auto-generate functional specs and user stories from requirements

  • Adept in leveraging AI tools to trace the problems back to their source and summarize lengthy documents to extract key insights

Nice-to-have:

  • Data Engineering / Data Science certification and/or completion of Business Analysis training courses.

  • Copilot , Git hub , Python knowledge

What's in it for you?

We thrive on the challenge to be our best, progressive thinking to keep growing, and working together to deliver trusted advice to help our clients thrive and communities prosper. We care about each other, reaching our potential, making a difference to our communities, and achieving success that is mutual.

  • A comprehensive Total Rewards Program including bonuses and flexible benefits, competitive compensation, commissions, and stock where applicable

  • Leaders who support your development through coaching and managing opportunities

  • Ability to make a difference and lasting impact

  • Work in a dynamic, collaborative, progressive, and high-performing team

  • A world-class training program in financial services

  • Opportunities to do challenging work.

#LI-POST

#TECHPJ

Job Skills

Analytics, Business Analytics, Business Case Design, Critical Thinking, Data Administration, Data Mining, Data Modeling, Data Movement, Detailed Design, Detail-Oriented, Detail Oriented Tasks, Group Problem Solving, Problem Solving, Quantitative Research, Research Documents

Additional Job Details

Address:

745 THURLOW ST:VANCOUVER

City:

Vancouver

Country:

Canada

Work hours/week:

37.5

Employment Type:

Full time

Platform:

TECHNOLOGY AND OPERATIONS

Job Type:

Regular

Pay Type:

Salaried

Posted Date:

2026-08-04

Application Deadline:

2026-09-26

Note: Applications will be accepted until 11:59 PM on the day prior to the application deadline date above

Our Employment Opportunities

At RBC, we are guided by living shared values of Client First, Integrity, Collaboration, Respect and Excellence and winning together as One RBC. We believe an inclusive workplace that has diverse perspectives is core to our continued growth as one of the largest and most successful banks in the world. Maintaining a workplace where our employees feel supported to perform at their best, effectively collaborate, drive innovation, and grow professionally helps to bring our Purpose to life and create value for our clients and communities. RBC strives to deliver this through policies and programs intended to foster a workplace based on respect, belonging and opportunity for all.

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Employment Type: FULL_TIME