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Fullscript

Senior QA Analyst - Data

Job Posted 6 Days Ago Posted 6 Days Ago
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Remote
2 Locations
Senior level
Remote
2 Locations
Senior level
The Senior QA Analyst will develop data quality standards, monitor data integrations, troubleshoot issues, and collaborate with stakeholders to ensure data accuracy and reliability.
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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.


If you are quality-obsessed and passionate about creating meaningful experiences with data, we’d love to hear from you!


We’re looking for an experienced QA Analyst with a background in Data to join our Activation & MarTech team. The ideal candidate has high attention to detail and the ability to collaborate with various stakeholder groups—experience in MarTech and Digital Analytics is a bonus! In this role, you will play a critical part in maintaining the integrity of our data flows and integrations, ensuring that our data is reliable and actionable.

What You'll Do:

  • Develop and implement comprehensive data quality standards and processes for ensuring data accuracy, completeness, and consistency across multiple systems.
  • Identify, document, and resolve data quality issues in collaboration with data activation, engineering and analytics team
  • Monitor and test the data integrations between systems for consistency and accuracy.
  • Work with cross-functional teams to understand integration requirements and ensure they are met.
  • Communicate findings and recommendations to technical and non-technical stakeholders.
  • Identify and troubleshoot integration failures or discrepancies in data.

What You Bring:

  • Proven expertise in data quality assurance, with the ability to implement rigorous testing protocols and identify, troubleshoot, and resolve complex data quality issues.
  • Strong technical skills with proficiency in SQL, data analysis tools, and familiarity with QA frameworks to streamline validation processes.
  • Experience with data integration and ETL processes, ensuring seamless data flows and consistency across diverse systems during platform migrations or brand integrations.
  • A collaborative mindset and excellent communication skills, capable of working effectively with cross-functional teams to maintain high data integrity and support data-driven decision-making.

What We Offer:

  • Flexible PTO & competitive pay—rest fuels performance.
  • RRSP match & stock options—invest in your future.
  • Customizable benefits—flexible coverage, paramedical services, and an HSA.
  • Fullscript discounts—save on wellness products.
  • Continuous learning—training budget + company-wide initiatives.
  • Wherever You Work Well—hybrid and remote flexibility.

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 accommodations@fullscript.com for support.


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


🚀 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

Top Skills

Data Analysis Tools
Data Integration
Etl Processes
Qa Frameworks
SQL

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