Later

1 day ago

Data/Analytics Co-op

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 19 hours agoStatus: Live

Job Summary

Join the Data team to build analytics foundations that help teams make better decisions. You’ll work with Data Engineers, Analytics Engineers, and Analysts to transform raw data into reliable datasets for reporting, dashboards, and product analytics. Build and maintain SQL/dbt models, create reusable metrics, implement data quality tests, and collaborate to turn business needs into clear data definitions. Use BigQuery and modern cloud data practices on real projects.

Location: Vancouver

Workplace: Hybrid

Employment Type: Internship

Job Function: Data Analytics & Business Intelligence

Seniority: Intern level

Key Responsibilities

•Build and maintain SQL and dbt data models to produce analytics-ready datasets.
•Create reusable datasets and metrics to support consistent reporting and self-service analytics.
•Build data quality tests and investigate issues to improve dataset accuracy and reliability.
•Partner with analysts and business teams to translate reporting and analytics needs into clear data models and definitions.
•Improve data models and pipelines for performance, maintainability, scalability, and contribute to documentation and code reviews.

Pay and Benefits

Salary: USD 4,000 monthly

Key Requirements

•Currently pursuing an undergraduate degree or diploma in a technical field such as Computer Science, Data Science, Statistics, Mathematics, Engineering, or Information Systems.
•Strong interest in analytics engineering, data engineering, or business intelligence.
•Working knowledge of SQL, relational databases, and basic data modeling concepts.
•Strong analytical and problem-solving skills with attention to detail.
•Exposure to dbt, BigQuery (or other cloud data warehouses), Python, Git, or BI tools via coursework or personal projects is a plus.

Experience:AnalyticsData engineeringBusiness intelligence

Education:Bachelor's in Computer Science, Data Science, Statistics, Mathematics, Engineering, Information Systems, or related technical field

Skills:AnalyticalProblem-solvingAttention to detailCommunicationCollaboration

Languages:English

Tech Stack:SQLDbtBigQueryPythonGitBI toolsRelational databasesData modelingCloud data warehouse

Company Brief

Later

Provides a visual social media planning, scheduling, and analytics platform that helps brands, creators, and agencies manage Instagram, TikTok, and other social channels. Offers content calendar, media library, and performance insights to streamline social publishing workflows.

Industry: SaaS

Company Size: Medium (51 to 250 employees)

Growth: Growth Stage Startup

Funding: Series A

Headquarters: Vancouver, Canada

Founded: 2014

Website

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Later

1 day ago

Data/Analytics Co-op

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 19 hours agoStatus: Live

Job Summary

Location: Vancouver

Workplace: Hybrid

Employment Type: Internship

Job Function: Data Analytics & Business Intelligence

Seniority: Intern level

Key Responsibilities

•Build and maintain SQL and dbt data models to produce analytics-ready datasets.
•Create reusable datasets and metrics to support consistent reporting and self-service analytics.
•Build data quality tests and investigate issues to improve dataset accuracy and reliability.
•Partner with analysts and business teams to translate reporting and analytics needs into clear data models and definitions.
•Improve data models and pipelines for performance, maintainability, scalability, and contribute to documentation and code reviews.

Pay and Benefits

Salary: USD 4,000 monthly

Key Requirements

•Currently pursuing an undergraduate degree or diploma in a technical field such as Computer Science, Data Science, Statistics, Mathematics, Engineering, or Information Systems.
•Strong interest in analytics engineering, data engineering, or business intelligence.
•Working knowledge of SQL, relational databases, and basic data modeling concepts.
•Strong analytical and problem-solving skills with attention to detail.
•Exposure to dbt, BigQuery (or other cloud data warehouses), Python, Git, or BI tools via coursework or personal projects is a plus.

Experience:AnalyticsData engineeringBusiness intelligence

Education:Bachelor's in Computer Science, Data Science, Statistics, Mathematics, Engineering, Information Systems, or related technical field

Skills:AnalyticalProblem-solvingAttention to detailCommunicationCollaboration

Languages:English

Tech Stack:SQLDbtBigQueryPythonGitBI toolsRelational databasesData modelingCloud data warehouse

Company Brief

Later

Industry: SaaS

Company Size: Medium (51 to 250 employees)

Growth: Growth Stage Startup

Funding: Series A

Headquarters: Vancouver, Canada

Founded: 2014

Website