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Data Analyst, Healthcare Insights

MediHealth Analytics Toronto, Canada Full-time 5 min read
Location
Toronto, Canada
Employment
Full-time
Compensation
CAD $70,000 – $90,000
Published
Jul 20, 2026
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1

Step 1

Overview

MediHealth Analytics is a leading firm specializing in leveraging data to revolutionize healthcare delivery and patient care. Located in the vibrant tech hub of Toronto, we are seeking a highly motivated Data Analyst to join our growing team. This role is crucial in helping us unlock the potential of vast healthcare datasets, translating raw information into clear, compelling narratives that inform strategic decisions for hospitals, clinics, and government health agencies.

You will work on diverse projects, from analyzing patient demographics and treatment efficacy to optimizing resource allocation and identifying trends in public health. Your analytical prowess will directly contribute to improving healthcare quality, reducing costs, and enhancing the patient experience across Canada. We pride ourselves on a culture of collaboration, curiosity, and continuous learning, providing ample opportunities for professional growth and skill development.

This position is ideal for someone who is not only proficient in data analysis tools and techniques but also possesses a genuine interest in the healthcare sector and its unique challenges. If you are passionate about using data to make a tangible difference in people's lives and thrive in an environment that encourages innovative problem-solving, MediHealth Analytics offers an exciting career path. Join us in shaping the future of healthcare through data-driven intelligence.

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Step 2

Key Responsibilities

  • Collect, clean, and pre-process large and complex healthcare datasets from various sources.
  • Perform exploratory data analysis to identify patterns, trends, and anomalies.
  • Develop and implement statistical models and algorithms to address specific business questions.
  • Create compelling data visualizations and dashboards using tools like Tableau or Power BI.
  • Prepare and present actionable reports and insights to internal and external stakeholders.
  • Collaborate with clinical, operational, and IT teams to understand data requirements and deliver solutions.
  • Ensure data accuracy, integrity, and compliance with healthcare data regulations (e.g., PHIPA).
  • Contribute to the continuous improvement of data analysis processes and methodologies.
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Step 3

Requirements

  • Bachelor's degree in Statistics, Computer Science, Health Informatics, or a related quantitative field.
  • 3+ years of experience as a Data Analyst, preferably within the healthcare industry.
  • Strong proficiency in SQL for data querying and manipulation.
  • Experience with statistical analysis and programming languages (e.g., Python, R).
  • Expertise in data visualization tools (e.g., Tableau, Power BI, Qlik Sense).
  • Excellent analytical and problem-solving skills with attention to detail.
  • Strong communication skills, with the ability to explain complex data to non-technical audiences.
  • Familiarity with healthcare terminologies, data standards, and privacy regulations (e.g., PHIPA, HIPAA).
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Step 4

Benefits & Perks

  • Competitive salary and performance bonuses.
  • Comprehensive health, dental, and vision benefits.
  • Generous vacation policy and wellness programs.
  • Opportunities for professional development and attending industry conferences.
  • Modern office space in downtown Toronto with hybrid work options.
  • Collaborative and supportive team environment.
  • Impactful work that contributes to public health improvements.
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Step 5

How to Apply

  1. 1

    Begin by researching MediHealth Analytics' recent projects and the types of healthcare challenges we address. Understand our commitment to data-driven insights and patient privacy. Tailor your resume to emphasize your data analysis skills, specific experience with healthcare data, and proficiency in SQL, Python/R, and visualization tools.

  2. 2

    Write a compelling cover letter that highlights your passion for healthcare analytics and how your skills can directly contribute to improving patient outcomes. Provide a specific example of how you used data to solve a complex problem or uncover a significant insight in a previous role.

  3. 3

    Submit your detailed resume and thoughtful cover letter through the careers section of the MediHealth Analytics website. Ensure all relevant academic and professional experiences are clearly articulated, and include a link to any online portfolio or relevant GitHub repositories if you have them.

  4. 4

    If your application advances, you will likely undergo a technical assessment followed by interviews that will test your analytical thinking, problem-solving abilities, and communication skills. Be ready to discuss specific data projects you have led or significantly contributed to.

  5. 5

    After your interview process, a concise thank-you email to your interviewers, reiterating your interest and appreciation for their time, is good practice. This reinforces your professionalism and commitment to the role.