Data & Analytics Engineer Co-op/Internship with BCI supporting implementation of Data & Analytics projects. Creating reports and driving data literacy while working with a dynamic team.
Responsibilities
Supporting the implementation of Data & Analytics projects and initiatives
Creating reports and dashboards using Power BI and SQL
Creating re-usable curated datasets using SQL or Python
Work with Data & Analytics team to drive data literacy across BCI
Support the building and adoption of AI driven solutions
Requirements
Keen interest in data & technology and is a self-starter
Working knowledge of major AI tools like Perplexity, Claude or Copilot
Ability to demonstrate being a team player, but can also work independently
Strong work ethic and displayed initiative to strive to deliver value above and beyond the job description
Creative ideas to improve the business reporting process
Exhibit a high level of professionalism and excellent interpersonal skills
Ability to meet deadlines while maintaining accuracy, excellent product quality, and attention to detail
Dedication to hard work, commitment to the highest ethical standards, and an eagerness to learn
Ability to use Excel, PowerPoint, Word and Outlook
Familiarity with Microsoft 365 tools such as One Drive, SharePoint Online, and MS Teams
Familiarity with reporting tools such as Power BI
Familiarity with AI tools such as Claude or Copilot
Ability to read and write basic code scripts in SQL
Ability to implement and debug basic Python scripts
Benefits
Excellent career development and training
Work with a dynamic team in a fast-paced environment
The development of real-world skills at one of the largest institutional investors in Canada
Exposure to some of the most talented, approachable, and inspiring people in the industry
The ability to opt-in for access to Dialogue, a user-friendly app that offers virtual primary care, employee and family services, and mental health supports
Time to connect with co-op students & interns at BCI – build your network and shared learning
Chef d’équipe Analytics Engineer chez Lightspeed, plateforme infonuagique de commerce mondiale. Transformation des données et leadership d’une équipe analytique pour soutenir les décisions fondées sur les données.
Staff Engineer owning analytics architecture and data modeling at Oscilar, an AI risk decisioning platform for fraud, credit, and compliance. Building tiered data infrastructure, optimizing database performance, and shaping long - term analytics platform strategy.
Senior Data Analytics Engineer building automated reporting and business insights for Dotmatics’ cloud scientific research platform. Partnering across Sales, Product, Marketing, and Finance to enable self - service analytics.
Analytics Engineer building trusted data models, pipelines, dashboards, and GTM workflows for Linear’s product development system. Partnering across Product, Engineering, and GTM to make data actionable.
Senior Analytics Engineer building trusted, AI - ready analytics infrastructure for Luxury Presence’s real estate growth platform. Owning dbt, Snowflake, Python pipelines, semantic layers, and cross - system data quality.
Junior Analytics Engineer maintaining data pipelines, models, and dashboards for Top Hat, an education technology company. Supporting operational teams with trusted data, SQL analysis, and data quality improvements.
Associate Analytics Engineer building governed, tested data models and pipelines for CircleCI, the world’s largest CI/CD platform. Supporting business users, downstream systems, and AI - powered workflows through reliable analytics engineering.
Analytics Engineer building scalable data models and pipelines for Tailscale’s secure networking platform. Supporting reporting, analysis, and decision - making across Finance, Engineering, Sales, and other teams.
Data Analytics Specialist supporting the design and development of analytical products for Alberta government. Collaborating with team to leverage data assets and enhance service delivery.
Senior Data Engineer on the Graph Analytics team building scalable systems for analyzing cryptocurrency transactions. Collaborating with data scientists and engineers to design graph algorithms.