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Junior Data Analyst; Digital Health

Job in Toronto, Ontario, M5A, Canada
Listing for: S.i. Systems
Contract position
Listed on 2026-07-21
Job specializations:
  • IT/Tech
    Data Analyst, Data Science Manager, Business Systems & Technology Analysis, Business Intelligence
Job Description & How to Apply Below
Position: Junior Data Analyst (Digital Health)

Our client is Canada's largest retailer. They are looking for a Strategy Data Analyst to support the growth of their Digital Health business
. This role will work closely with Product Managers and Digital Health leaders to drive data-informed decision-making across customer engagement, patient conversion, digital marketing, and platform analytics initiatives.

Duration: 8 Month Contract
, to start

Location: 4 days/week onsite (
Wednesday in Toronto
, remaining days can be worked from Toronto, Brampton, or North York offices)

40 Hours/ week

Responsibilities:

  • Partner with Product Managers across the Digital Health team to support strategic and analytical initiatives
  • Pull, clean, and analyze large datasets to generate actionable insights
  • Analyze patient/customer funnel performance and identify drop-off points and conversion opportunities
  • Build and maintain dashboards and self-serve reporting tools for business stakeholders
  • Present findings and recommendations to stakeholders, including senior leadership
  • Identify trends, opportunities, and areas for optimization within digital engagement and healthcare platforms
  • Collaborate cross-functionally with analytics, product, marketing, and digital teams
  • Assist with automation and process improvement initiatives where possible
  • Must Have

    Skills:

  • 2-4 years experience as a Data Analyst
    , with experience in analytics, dashboarding, and/or business intelligence
  • Strong SQL skills with experience pulling, querying, and analyzing large datasets
  • Experience with dashboarding tools (
    Tableau, Power BI, Looker, etc.)
  • Strong communication and stakeholder management skills, comfortable presenting insights and recommendations
  • Nice to Haves:

  • Python experience for automation or advanced analytics
  • Experience with GCP / Big Query
  • Experience with in Healthcare, Retail, CPG, or Digital/E-Commerce domain.
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