Data Analyst - Business Intelligence

Jonas SoftwareToronto, ON
CA$90,000 - CA$100,000Onsite

About The Position

We are seeking a Lead/Senior Data Scientist to design and deliver advanced analytical solutions that power our global loyalty SaaS platform. This role is a senior individual contributor position for a highly skilled professional who thrives on solving complex business challenges through data science, visualization, machine learning, and experimentation. The ideal candidate combines technical depth with business acumen, is action-oriented, and continuously seeks to innovate and re-engineer processes for greater efficiency and impact.

Requirements

  • Degree in Data Science, Statistics, Computer Science, Economics or related field.
  • 5+ years of experience in applied data science, with a strong track record of high-impact delivery.
  • Expert in SQL, Python/R, machine learning frameworks (e.g., scikit-learn, TensorFlow, PyTorch), and large-scale data processing.
  • Experience in experimentation design (A/B testing, uplift modeling) and marketing analytics.
  • Strong ability to work independently, prioritize effectively, and deliver results.
  • Excellent communication skills for influencing stakeholders across functions.

Nice To Haves

  • Experience in loyalty, SaaS, or customer engagement domains preferred.

Responsibilities

  • Develop, prototype, and deploy advanced visualization and machine learning models to drive customer segmentation, personalization, churn prediction, LTV forecasting, and marketing optimization.
  • Partner with business and marketing stakeholders to translate challenges into well-defined analytical problems.
  • Scope, plan, and execute data science projects end-to-end with minimal oversight.
  • Explore and adopt emerging technologies, methods, and tools to advance the company’s analytics capabilities.
  • Drive continuous improvement and re-engineering of analytics workflows to improve scalability, efficiency, and accuracy.
  • Communicate findings with clarity and influence, tailoring insights to both technical and non-technical audiences.
  • Act as a subject matter expert and mentor for peers, setting technical standards and best practices across the data science team.
© 2026 Teal Labs, Inc
Privacy PolicyTerms of Service