Analytics Engineer

Trulioo • Vancouver, BC

41d • Hybrid

About The Position

Are you ready to embark on a career that truly affects people around the world? Trulioo invites you to be a catalyst for change in the dynamic realm of digital identity verification. As the global front-runner in our industry, we are redefining how businesses grow, innovate and comply online.
Picture yourself at the forefront of innovation, contributing to our award-winning platform that enables organizations worldwide to quickly onboard customers, optimize costs and combat fraud. Fueled by Silicon Valley support, Trulioo stands as the trusted platform that can verify more than 5 billion people and 700 million business entities spanning 195 countries.
But Trulioo is more than a tech company. We are a united force of dedicated experts committed to establishing trust online - and we’re proud to be recognized as a BC Top Employer for the second consecutive year, reflecting our commitment to an inclusive, collaborative, and people-first workplace.
Headquartered in Vancouver and with strategic hubs in San Diego and Dublin, we foster a culture of collaboration and open communication. Our offices support a hybrid model and staff typically work three days per week at a hub location. Join us where excitement meets innovation and contribute to a world where trust and technology unite.
Position Summary
We’re looking for an Analytics Engineer to join the Data Science team at Trulioo. This is a technical and hands-on role focused on building tools, applications, and automation to supercharge analytics workflows and make data more accessible to stakeholders across the company.
You’ll work closely with data analysts, data operations engineers, and data engineering to develop scalable internal tools — from Python-based automation scripts to Slackbots for reporting access. If you enjoy turning recurring analytics requests into elegant codebases, building efficient systems, and making life easier for data teams and business stakeholders alike, this role is for you.
This will be a full-time, permanent position working out of the Vancouver office on a hybrid model (3 days per week in the office).

Requirements

• 3-5+ years of experience in a technical data role such as analytics engineering, data science tooling, or backend scripting for analytics.
• Strong programming skills in Python, with a track record of building and maintaining codebases for internal users.
• Professional experience with AWS services (e.g., Lambda, Fargate, ECR, S3, SNS/SQS) for automating and deploying tools.
• Advanced SQL skills and the ability to work effectively with large, complex datasets.
• Experience building, developing, and deploying Docker containers.
• Demonstrated ability to understand analytics use cases and build tailored, reusable solutions.
• Competence with version control tools (e.g., Git) and CI/CD workflows (e.g., Terraform).

Nice To Haves

• Exposure to BI platforms (e.g., Looker, Tableau) and integrating backend tools with reporting solutions.
• Experience with AirFlow (or similar), creating/managing data pipelines, and ensuring data continuity.
• Experience creating AI-forward workflows.
• Experience using Python-based web frameworks (e.g., Flask, Pyramid, Django).
• Experience using NoSQL databases (e.g., DynamoDB, MongoDB).
• Experience building Slackbots or internal chat-based interfaces for data access.
• Knowledge of data privacy, access control, or security considerations in internal tooling.

Responsibilities

• Develop and update Python-based applications and tools to automate common analytics workflows and repetitive analyst tasks.
• Build and maintain internal APIs and command-line tools that allow stakeholders to request and access data more easily.
• Collaborate with analysts to identify automation opportunities and transform manual reporting into efficient, reusable programs.
• Partner with the Data Engineering and Data Operations teams to integrate tools with data warehouse layers and AWS services.
• Implement best practices for version control, testing, deployment, and documentation for all analytics tooling.
• Continuously monitor tool usage and performance, iterating to improve speed, reliability, and usability.
• Write advanced SQL queries to support tool functionality and troubleshoot data requests.

Benefits

• Comprehensive Benefits: We provide a robust benefits package for full-time, permanent employees, including health, dental, and vision coverage, retirement plans with company match, paid time off, parental leave, and an annual education & training stipend (equivalent to $1,000 in local currency). Specific benefits may vary by location and will be discussed further during the interview process.
• Flexible Hybrid Working Environment: Our offices are designed to support both collaboration and flexibility. Enjoy weekly lunches, quality coffee, and regular social events. Many locations also feature parent rooms, on-site gyms, comfortable lounges, and adaptable workstations to support your comfort and productivity.
• Wellness: We care about your well-being. Team members have access to wellness workshops and events, as well as a complimentary Headspace subscription to help you stay focused, grounded, and energized.
• Employee Resource Groups: Belonging is an important part of doing your best work. Our ERGs provide an inclusive space, support and community for employees of diverse backgrounds and allies. We host informative, fun sessions and celebrations that are often open to the entire organization.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed
• Number of Employees: 101-250 employees