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Data Analyst
Data AnalystScene LP • Toronto, ON, CA
Data Analyst

Data Analyst

Scene LP • Toronto, ON, CA
Il y a 3 jours
Type de contrat
  • Temps plein
Description de poste

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.

Who we need :

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.

What’s in it for you :

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.

As our new Data Analyst, you will :

  • 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 impactful 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.

You bring :

  • 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, 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.
  • Compensation

    At Scene+, we believe that compensation should be transparent, fair, and market competitive. Our salary ranges are designed to represent the progression from learning the role to truly mastering it.

    This role has a minimum base salary of $75K, and a maximum base salary of $90K. Our approach to compensation supports each person’s unique knowledge, skills, abilities, complexity of the role and balances it with internal equity to support a fair and competitive salary. The higher end of the range is reserved for those who have demonstrated deep expertise, while offers closer to the minimum reflect strong potential with room to develop.

    Base salary is just one part of our total rewards package which also includes health and wellness benefits, employer‑matched RRSP savings, a performance‑based bonus program, and many more perks including free movies and free grocery delivery!

    Join us.

    We are a dynamic and agile organization that works collaboratively to anticipate and meet the business needs of our partners and the lifestyle needs of our members. People who thrive at Scene+ are mission‑driven and eager to contribute to a brand that’s shaping the future of loyalty. As part of our team, you will excel in an environment that values ownership and practical, intelligent solutions. You will have the chance to create and refine processes, identify and address challenges with scalable solutions, and introduce best practices that drive our success.

    Our values guide our work, and we consistently measure our progress against these principles.

  • Member Focus : We prioritize the needs and experiences of our members in everything we do.
  • Teamwork : We believe in the power of collaboration and working together to achieve our goals.
  • Continuous Improvement : We strive for excellence by constantly seeking ways to improve and innovate.
  • Integrity : We uphold the highest standards of honesty and transparency in our actions.
  • Results Driven : We are committed to achieving outstanding outcomes and delivering value.
  • Passion : We are passionate about our work and dedicated to making a positive impact.
  • What you can expect from our interview process :

  • A virtual interview with a Talent Advisor discussing your interest in the role and the company and how you will make an impact as our new Senior Data Analyst, followed by a SQL assessment. The conversation will be recorded using BrightHire, an AI‑powered video interview tool. More details will be shared when you are invited to interview.
  • A virtual interview with the Senior Manager Analytics and a case study exercise. You will have the chance to learn more about the team and to share your experience. It's a chance to ask questions about the company and the role.
  • A final in‑person interview with the Director, Data Science to dive deeper into your technical experience, discuss current projects, and explore how you could contribute to the team’s success.
  • Apply now.

    If you have 70% of what we're looking for and 100% authenticity and passion, express your interest here. Please contact us by email at careers@scene.ca and let us know what accommodations or assistance we can provide you during the application process.

    At Scene+, we're committed to diversity, equity, and inclusion. We strive to integrate these values into everything we do, from our partners and offers to our teams and interactions. We welcome and appreciate candidates from diverse backgrounds, including women, persons with disabilities, Black, Indigenous and People of Colour (BIPOC), the LGBTQ2SIA+ community, and other equity‑seeking groups.

    How We Use AI in our Interview Process :

    At this time, we do not use artificial intelligence (AI) tools to screen, assess or select applicants. For video interviews, we may use BrightHire, an AI‑powered video interview tool, for recording purposes.

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