Data Analytics Intern (8 months)

Super.com
Canada, Toronto
Workplace: RemoteInternshipCAD 20.25 - 39.25 hourlyFunction: Data Analytics & Business IntelligenceSkills: ["Analytical thinking","Curiosity","Independence","Ownership","Comfort with ambiguity"]

Use data to answer strategic business questions and support growth as part of the data team. You’ll clean and organize raw datasets, build automated dashboards and funnels, and run deep-dive analysis using regression or segmentation models. Collaborate with stakeholders across product, user, and operational data to generate reporting and draw insights that inform performance marketing and broader business goals in a remote-first environment.

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FursaFursa
Super.com
Super.com
18 hours ago

Data Analytics Intern (8 months)

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Source: Company careers pageValidated by: Fursa AI
Last checked: 3 hours agoStatus: Live

Job Summary

Use data to answer strategic business questions and support growth as part of the data team. You’ll clean and organize raw datasets, build automated dashboards and funnels, and run deep-dive analysis using regression or segmentation models. Collaborate with stakeholders across product, user, and operational data to generate reporting and draw insights that inform performance marketing and broader business goals in a remote-first environment.
Location: Canada, Toronto
Workplace: Remote
Employment Type: Internship · 8 months
Job Function: Data Analytics & Business Intelligence
Seniority: Intern level

Key Responsibilities

  • •Answer business questions and drive strategy and decision-making using data
  • •Access, clean, and organize raw data for your team and stakeholders
  • •Create automated dashboards and funnels to visualize and understand performance
  • •Conduct deep-dive analysis to produce reporting and strategic insights
  • •Support stakeholders by generating analysis that connects data insights to broader business goals

Pay and Benefits

Salary: CAD 20.25 - 39.25 hourly
Perks:Home OfficeMeal AllowanceLearning BudgetWellness Stipend

Key Requirements

  • •Pull, clean, and manipulate large, complex datasets and turn findings into insights stakeholders can understand
  • •Write SQL queries and perform data analysis with Python and/or R
  • •Use analytics tools including Looker, amplitude, DBT, and Snowflake
  • •Demonstrate understanding of common statistical methods and how they apply to real-world scenarios
  • •Work independently while embracing mentorship and confidently addressing stakeholder requests
Skills:Analytical thinkingCuriosityIndependenceOwnershipComfort with ambiguity
Tech Stack:SQLPythonRLookerAmplitudeDBTSnowflakeRegressionSegmentation modelsDashboardsFunnel

Company Brief

Super.com
Super (formerly Snapcommerce) is a consumer fintech platform that helps users save on online purchases, find deals, and access financial tools through AI-driven price discovery, cashback, and payment solutions across e-commerce and travel verticals.
Industry: Payments
Company Size: Large (251 to 1,000 employees)
Growth: Scaleup
Headquarters: Toronto, Canada
Founded: 2016
WebsiteLinkedIn