Data Warehouse Analyst - FTT

Company: TransLink

Location: Metro Vancouver Regional District, BC

Type: Full-time

Posted: 2026-03-17

About this role

## Marketing Statement

A career at TransLink and our family of companies means working with people with a wide range of skills and perspectives, all teaming up towards a common goal: preserving and enhancing the region's world-envied quality of life. Together, we connect the region and enhance its livability by providing a sustainable transit and transportation network, embraced by our communities and people.

At TransLink we are dedicated to building a workforce that reflects the diversity of the communities in which we live. We’re committed to fostering an inclusive, equitable and accessible workplace, recognizing the unique value and skills every individual brings.

Looking for a great place to work where your contributions are valued and you can make a difference in a vibrant city? At TransLink, one of BC’s Top Employers, you'll help make Metro Vancouver a better place to live, built on transportation excellence. Put your future in motion!

## Responsibilities

The Data Solutions Analyst is responsible for designing, developing, and maintaining enterprise data solutions that advance TransLink’s strategic goals for data-driven decision-making and the use of Artificial Intelligence (AI).

Key responsibilities include ensuring secure, reliable, and accessible data platforms, developing and optimizing data extraction, transformation, and loading (ETL/ELT) processes and evaluating emerging technologies. Applies TransLink-approved methodologies and best practices to deliver scalable, high-quality solutions

## Qualifications

EDUCATION:

Required a diploma in computer science from a recognized institute of technology including courses in database design, programming, business and systems analysis.

EXPERIENCE:

Requires three (3) years recent related experience in cloud technologies, data warehousing, business intelligence, information management, or data analytics. Must have hands-on experience delivering data products and insights using a range of data ...

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