Senior Data Analyst, Health Data Products

S.I. Systems Ltd.

Toronto

Vor Ort

CAD 90.000 - 135.000

Vollzeit

vor 45 Stunden
Sei unter den ersten Bewerbenden

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Zusammenfassung

S.I. Systems Ltd. is seeking a Senior Data Analyst for Health Data Products to help deliver timely health information via SQL-driven analytics and patient communications. The role combines data analysis, QA, and cross-functional collaboration to ensure accuracy and impact.

The candidate will own deliverables, work independently, and help improve program effectiveness and data quality across health-related communications initiatives.

Qualifikationen

  • 6+ years of experience in data analytics, BI, or a related data-focused role.
  • Strong SQL and data analysis experience with large, complex datasets.
  • Experience translating business requirements into technical specifications and data logic.

Aufgaben

  • Use SQL and large datasets to identify eligible populations and translate requirements into data logic.
  • Manage end-to-end execution of patient communications, including data preparation, validation, and delivery.
  • Collaborate with stakeholders and technical teams to deliver data-driven programs and communications.

Kenntnisse

SQL
Data analysis
BI
Attention to detail
Ownership & judgment
Problem-solving
Organization & collaboration

Jobbeschreibung

Senior Data Analyst, Health Data Products

Our client, Canada's largest retailer, is looking for a highly analytical, detail-oriented Senior Data Analyst to join their Health Data Products team.

Position Overview

The program helps patients live life better by delivering timely, relevant health information, including vaccination reminders, flu season communications, and important public health announcements.

This hands-on role combines SQL and data analysis with patient communications execution, quality assurance, and cross-functional collaboration. The successful candidate will work independently, take ownership of deliverables, and ensure accuracy and quality in everything they do.

Key Responsibilities
Data Analysis & Patient Communications
  • Use SQL and large datasets to identify eligible patient populations and translate program requirements into accurate data logic.
  • Manage the end-to-end execution of patient communications, including data preparation, validation, and delivery.
  • Analyze data to troubleshoot issues and identify opportunities to improve program effectiveness.
Quality Assurance & Process Improvement
  • Perform thorough quality assurance of data, eligibility logic, and communication outputs, proactively identifying and resolving issues.
  • Identify opportunities to streamline workflows, automate recurring tasks, and strengthen quality controls.
  • Independently manage initiatives from requirements gathering through execution, balancing competing priorities and deadlines.
  • Collaborate with business stakeholders and technical teams to deliver patient communications initiatives.
  • Proactively clarify requirements, challenge assumptions, and communicate risks or blockers.
Required Qualifications
  • 6+ years of experience in data analytics, business intelligence, or a related data-focused role.
  • Strong SQL and data analysis experience, including working with large, complex datasets.
  • Experience translating business requirements into technical specifications, data logic, or actionable solutions.
  • Experience supporting the execution of data-driven programs, communications, or operational initiatives.
Required Skills & Competencies
  • Attention to Detail: Strong commitment to accuracy, quality assurance, and validating work before delivery.
  • Ownership & Judgment: Works independently, takes accountability for deliverables, and knows when to seek clarification or escalation.
  • Problem-Solving: Proactively identifies issues and develops practical, effective solutions.
  • Organization & Collaboration: Manages competing priorities and communicates effectively across business and technical teams.
Nice to Have
  • Experience in healthcare, pharmacy, retail, or loyalty environments.
  • Experience with automation, workflow optimization, or process improvement.
  • Experience working with patient or other sensitive data, including appropriate privacy and data handling practices.

Disclaimer: AI may be used in evaluating candidates. This posting is for an existing vacancy.

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