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Homeoffice Data Analyst, Merchandising en Fullscript

Fullscript · Ottawa, Canadá · Remote

Python

SQL

AWS

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At Fullscript, we’re not just changing healthcare—we’re making it whole.

We help 100,000+ healthcare practitioners support 10 million patients with a platform that delivers evidence-based health solutions, diagnostic support, and practitioner tools—all in one place.

Healthcare today is disconnected. We’re fixing that. Fullscript makes it easier for practitioners to treat the whole person, not just symptoms, so patients get the support they need—when they need it.

We’re building a better way—one where healthcare is connected, complete, and built for impact.

The Data Analyst, Merchandising role provides analytical support across Brand, Merchandising, and Supply Chain teams to deliver high-impact insights and reporting that drive business strategy.

Reporting to the Director of Strategic Merchandising, this role performs in-depth exploration, modeling, and analysis to enable supplier and category reporting and insights. In addition, the analyst will serve as a subject matter expert on AI and automation, championing tools and processes that enhance team efficiency and unlock new capabilities.

This role offers an opportunity to influence business outcomes and innovation through data-driven decision making.


What You'll Do:
  • Advanced analytics:
  • Lead analytics investigations and special projects for the Supplier Organization, collaborating with cross-functional partners to define requirements, develop statistical models, and deliver insights that shape brand, merchandising, and category strategies.
  • Design and execute advanced analytics models and tools — such as assortment clustering — to inform strategic decision making
  • Manage the analytics intake and prioritization process, ensuring alignment with business objectives and visibility into project status.

  • Reporting & Ad hoc analytics:
  • Define, design, and develop dashboards and reports for key metrics and KPIs, using BI tools and data languages to drive performance visibility.
  • Build and maintain supplier reporting, including dashboards and data shares, to strengthen supplier relationship management and joint business planning.
  • Deliver timely ad hoc analysis to support evolving business needs, while ensuring the integrity, usability, and consistency of data across multiple sources and business units.

  • Automation
  • Act as subject matter expert for AI and automation within the Supplier Organization, identifying opportunities to streamline workflows, enhance reporting, and unlock team productivity.
  • Partner with stakeholders to pilot, implement, and support adoption of efficiency tools that improve accuracy and scalability of analytics deliverables.


    • What You Bring:
  • Bachelor’s Degree in a quantitative or technical discipline (e.g., Statistics, Economics, Computer Science, Data Science, Engineering) with 3+ years of experience in an analytics or data-focused role.
  • Strong proficiency in SQL (including transformations and query optimization) and Python
  • Experience applying advanced analytics techniques (e.g., clustering, regression, predictive modeling) to uncover insights and support business strategy.
  • Hands-on experience with Business Intelligence and data visualization tools (e.g., Looker) to design dashboards, KPIs, and self-serve reporting.
  • Familiarity with automation, AI tools, or scripting for process improvement and efficiency gains is an asset.
  • Demonstrated ability to translate complex data into clear, actionable insights for both technical and non-technical audiences.
  • Proven track record of managing multiple projects in a fast-paced environment, with strong organizational and prioritization skills.
  • Exceptional attention to detail, critical thinking, and problem-solving skills.
  • Strong communication and collaboration skills, with experience working cross-functionally to align on priorities and deliver results.
  • Experience in retail, consumer goods, or supplier/vendor analytics is considered an asset.


    • Why You'll Love Fullscript:
  • Market competitive compensation package including equity 
  • RRSP matching program (within CAD)
  • Flexible PTO policy 
  • Flexible benefits package and additional perks
  • Employee discount on Fullscript catalog of products for family & friends
  • Ability to *Work Wherever You Work Well*


    • Why Fullscript?

    Great work happens when people are supported, challenged, and inspired. Here, you’ll be part of a team that:

    ⬦ Values innovation—we push boundaries and always look for better ways.
    ⬦ Supports growth—through learning, mentorship, and meaningful work.
    ⬦ Cares about balance—with flexible work options and time off when you need it.

    📌 Apply now—let’s build the future of healthcare, together.

    Fullscript is an equal-opportunity employer committed to creating an inclusive workplace. Accommodations are available upon request—email [email protected] for support.

    Before joining the team, all candidates who receive and accept an offer will complete a background check.

    We use AI tools to support parts of our hiring process, like screening and reviewing responses. Final decisions are always made by people. This process complies with privacy and employment laws across Canada and the U.S.

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    🚀 MORE INFO: www.fullscript.com | www.rupahealth.com | Follow us on social media @fullscriptHQ
    🔥 IN THE NEWS: Fullscript acquires Rupa Health
    📺 Let’s make healthcare whole
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