Data Analyst

Who we are

At Scene+, we foster an entrepreneurial spirit that drives our mission: making tomorrow even more rewarding for our members. As a unique joint venture between Cineplex, Empire, and Scotiabank, and a network of partners, we have spent over 17 years delivering unparalleled rewards and experiences.

As we scale and evolve, our focus on innovation and technology is redefining what it means to be an iconic brand that prioritizes a member-centric experience. Data is not just a tool for us. It’s the engine powering our growth strategy and our journey to becoming Canada’s most beloved loyalty program. We leverage it to provide personalized rewards and create meaningful connections with our members.

Joining Scene+ now means stepping into a role where your passion and skills can make a tangible impact on millions of members. With rewards for every lifestyle, we believe there’s always something to look forward to. Come be a part of our journey - create exceptional outcomes, collaborate across teams, and shape the future with us.

This job posting is for an existing vacancy that is a full-time, hybrid role working three days per week on site in our Toronto office.

Reporting to the Senior Manager, Analytics, we are looking for a Data Analyst who can take the data and tell a story from multiple perspectives. We are one of Canada's top loyalty programs with 15 million+ members. You will tap into our rich cross-industry data resources to bring proven value to our owners and partners and delight our members.

Future forward impact. You'll be part of a future-forward team that values authenticity and invites fresh perspectives. You will gain exposure to every major customer-driven industry - and access to vast volumes of diverse data. You will receive in-depth onboarding, access to insights into growing a national loyalty program, and the visibility you need to make an impact.

Anticipation. With giants in banking, grocery, and entertainment as our owners and partners across various categories like travel, shopping and dining, this is an opportunity to gain exposure across a wide range of sectors. We have a proven history of supporting the professional advancement of our people. Whether you want to increase your influence with us directly or with a parent company, there is always something to look forward to.

• Code. You will use Python and SQL to gather, clean, organize, and analyze structured and non-structured data. You will draw on your insights and experience to choose the most effective and impact charts, graphs, and diagrams to illustrate the results and recommendations of your data analysis.
• Analyze. You will dive into the consumer data to generate owner-specific reports. You will explore anomalies, finding root causes or drawing attention to trends that can be capitalized.
• Collaborate. You will work as part of the Analytics and Data Engineering teams to automate processes, improve the data quality for our machine learning models and add more value to our loyalty product.

• The experience. You have worked as a Data or Business Analyst at a fast-paced startup in a collaborative and autonomous role. Or, you may be coming from another industry and looking for a challenge to innovate and propose changes with less red tape and more responsiveness. You enjoy continuously exploring what can be learned and applied from data.
• The technical skills. You know how to use the latest tools to work with terabytes of data - defining the query parameters, accessing large sets, conducting analyses, and gleaning insights. You are proficient in SQL, and Tableau and can quickly come up to speed with new technologies. You have experience building reports connecting data sources and creating visualizations that present the data most effectively.
• Interpersonal skills. You can nurture relationships across internal and external teams. You have professional communication skills. You can translate complex data analytics and findings into visualizations and actionable insights for different audiences and levels.

At Scene+, we believe that compensation…