Responsibilities

• End-to-End Analytics Ownership: Lead analytics initiatives from problem definition through to insight delivery and business adoption, ensuring outcomes; not just outputs.
• Business Collaboration & Influence: Partner with Marketing, BI, IS, and other teams to understand challenges, proactively identify opportunities, and shape decisions through data.
• Data Storytelling & Communication: Translate complex analysis into clear, actionable insights; present findings in a way that drives understanding and decision-making across all levels.
• Customer & Marketing Insights: Deliver analysis that informs segmentation, retention, campaign performance, and customer strategy.
• Test-and-Learn Approach: Design experiments, iterate quickly, and continuously improve impact through data-driven learning.
• Technical Execution: Work hands-on across the data lifecycle (data prep, modeling, analysis), applying advanced analytics and ML techniques to real business problems.
• Cross-Functional Delivery: Collaborate effectively across a geographically dispersed team, ensuring alignment, transparency, and progress.

Requirements

• Bachelor’s degree (or equivalent hands-on experience) in Data Science, Statistics, Computer Science, Marketing, Social Sciences, or a related field; certifications in analytics or AI/ML are an asset
• 5 years of experience in marketing, customer analytics, or data science in a business-facing role
• Proven ability to own analytics projects end-to-end; from problem definition through to insight adoption and measurable business impact
• Strong problem-solving skills with the ability to translate ambiguous business questions into structured analytical approaches
• Proficiency in SAS, Python, R, and/or SQL, with experience working with large, complex datasets
• Experience working with cloud and data platforms such as Azure and Databricks
• Experience with data visualization and BI tools such as Power BI, Tableau, or Looker to communicate insights effectively
• Experience applying predictive modeling, segmentation, experimentation, and/or marketing analytics techniques
• Ability to connect technical outputs to clear business insights and strategic recommendations
• Strong communication and storytelling skills; able to present complex ideas in a clear, concise, and actionable way for non-technical audiences

Preferred

• Certifications in analytics or AI/ML are an asset

Benefits

• Culture: Join a supportive and inclusive work environment where collaboration, respect, and open communication are at the core of everything we do.
• Competitive Compensation: We offer highly competitive compensation and a total rewards package, ensuring that your hard work and dedication are recognized and rewarded accordingly.
• Flexibility: We understand the importance of work-life balance and offer various flexible schedules to help you manage your personal and professional commitments effectively.
• Technology: Work with state-of-the-art tools and technologies that empower you to excel in your role and stay at the forefront of industry trends.
• Employee Assistance Programs: We care about you! You and your family will have access to LYRA, an industry leading platform that provides comprehensive support and a myriad of resources to help support your physical, mental, financial and social well-being.
• Opportunity: A continuous focus on professional development with many opportunities for training & career growth.
• Safety Focused: We care about you and have developed a 24/7 safety mindset that is showcased throughout every facet of the organization.