Data Analyst - Business Intelligence

Job Description: Role Summary Expected Salary Range: $90,000-100,000 CAD, depending on experience and qualifications 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. Key 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. Qualifications 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. Experience in loyalty, SaaS, or customer engagement domains preferred. Business Unit: RewardOps Scheduled Weekly Hours: 37.5 Number of Openings Available: 1 Worker Type: Regular More About Jonas Software: Jonas Software is a leading provider of enterprise management software solutions, serving a wide range of vertical markets including hospitality, healthcare, construction, education, personal care, fitness, leisure, moving and legal services, to name a few. Within these markets, Jonas is comprised of over 65 distinct brands, each a respected leader in its domain. Jonas’ vision is to be the branded global leader across these verticals and to be recognized by customers and industry stakeholders as the trusted provider of “Software for Life.” We are committed to technology, product innovation, quality, and exceptional customer service. Jonas Software supports over 60,000 customers in more than 30 countries. We employ over 6,000 skilled professionals, including industry experts and technology specialists. Across our broader network, we support a global workforce of more than 30,000 employees. Headquartered in Canada, Jonas Software has a global footprint with offices around the world. We’re a 100% owned subsidiary of Constellation Software Inc., based in Toronto, publicly listed on the TSX (CSU.TO), and a member of the S&P/TSX 60 Index.

The role involves developing and deploying advanced visualization and machine learning models to enhance customer engagement and marketing strategies. The candidate will also partner with stakeholders to translate business challenges into analytical problems and mentor peers in best practices.

Candidates should have a degree in a relevant field and at least 5 years of experience in applied data science with a strong track record. Proficiency in SQL, Python/R, and machine learning frameworks is essential, along with excellent communication skills.

Identified from the job description. Confirm important requirements above.

• Data Science
• Machine Learning
• SQL
• Python
• R
• Data Visualization
• Churn Prediction
• Customer Segmentation
• Marketing Analytics
• A/B Testing
• LTV Forecasting
• Experimentation Design
• Data Processing
• Communication
• Stakeholder Management
• Mentoring

• Data & Analytics
• Technology
• Software

Minimum education

Bachelor’s degree

Minimum experience

5+ years

Apply by

Aug 15, 2026

Posting language

English

Working hours

38 hours per week

Seniority

Mid-Senior level