Director of Analytics & Data Science
Super.com
Location
Canada, United States
Employment Type
Full time
Location Type
Remote
Department
DataData Analytics
Compensation
- USAUSA $209K – $277K
- Canada Tier 1 CA$209K – CA$253K
- Canada Tier 2 CA$199K – CA$240K
Tier 1:
Greater Toronto Area (City of Toronto, York Region, Durham Region, Peel Region, Halton Region)
Metro Vancouver (City of Vancouver, North Shore, Burnaby, New Westminster, Tri-Cities, Fraser Valley Edge, South of the Fraser River, and Richmond)
Tier 2:
All other Regions and Municipalities
As a remote-first organization we use benchmarking data reflective of your geographical areas to ensure our compensation package is competitive based on where you reside. Your TA partner will confirm which range applies to your location as part of the hiring process.
About Super.com
We started Super.com to help maximize lives–both the lives of our customers and the lives of our team – so that everyone can experience all that life has to offer. For our employees, our promise is that Super.com is more than just a job; it’s an opportunity to unlock one’s potential, where learning is celebrated and impact is realized.
We are more than a fast-paced, high-growth tech company; we care about our people and take career progression seriously. This is your career and our aim is to supercharge it through the people, the work, and the programs that fuel who we are.
About this Role
The Director of Analytics & Data Science leads our Analytics and Data Science organization through its next phase of scale. Operating within our mission-aligned team (MAT) model, you will provide the connective tissue across embedded teams—setting shared standards, shaping analytical strategy, and ensuring our work consistently drives high-quality business decisions. You’ll partner closely with Product, Engineering, and Executive leadership to build durable analytics and intelligent systems that support growth, manage risk, and improve customer experience. This role blends strategic leadership, organizational design, and technical judgment to scale impact without sacrificing speed across our multiple business lines.
About this Team
This role is part of our Analytics & Data Science team. Being Data Driven is a core value of Super.com and this team plays a huge part in this. We are long time advocates and users of Snowflake, DBT & Amplitude. This isn’t a place where we are convincing the business the value of data or just using these tools for the first time. We have maturity in our technical practices, launch a new experiment every day, and we are looking for teammates to roll up their sleeves, build intelligent systems and shape decisions with data.
What you’ll be working on:
Lead and scale the Analytics and Data Science organization, hiring and developing managers and ICs while designing team structure to support deeper data science adoption across the business
Embed analytics and data science into core business workflows, ensuring insights, models, and decisioning systems are consistently used in product, risk, and growth decisions
Partner with Data Engineering to shape BI and data science platform architecture, influencing data models, tooling, and workflows to enable reliable, scalable analytics and ML
Translate business needs into analytical and data science solutions, working cross-functionally to ensure systems are reusable, well-governed, and aligned with platform constraints
Drive delivery of complex, cross-functional data initiatives, providing clarity in ambiguous problem spaces and ensuring outcomes meet business and technical expectations
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Set technical and analytical standards across analytics and data science, raising the bar for modeling quality, productionization, and documentation through guidance and review
What we’re looking for:
7+ years experience in analytics, data science, or related roles, including 3+ years leading managers or senior ICs
Proven experience partnering with executive and senior leadership, using data to influence strategy and company-level decisions
Demonstrated ability to design and evolve analytics and data science organizations, including team structure, standards, and operating models
Strong technical foundation with experience working alongside data engineering on modern data platforms (e.g., Snowflake, dbt, Airflow, Looker), with fluency in SQL and Python
Sound architectural judgment, with the ability to balance speed vs. scalability and clearly explain tradeoffs to technical and non-technical stakeholders
Strong ownership mindset with the ability to prioritize competing initiatives and deliver results in ambiguous, fast-moving environments
We’ve got you covered:
At Super.com, we believe in supporting our team so they can thrive—both at work and in life.
-Remote-First Flexibility: Work from anywhere in the world and choose the hours that suit you best. We trust you to get great work done on your terms.
-Time to Recharge: Enjoy unlimited PTO, company-wide recharge days, and annual team offsites.
-Everyday Perks: Weekly UberEats credits and travel discounts on Super.com help you enjoy the little things.
-Family-Friendly Benefits: We support growing families with generous parental leave and a flexible return-to-work plan.
-Comprehensive Compensation: Competitive salary, equity options, and top-tier benefits starting on day one.
-Investing in You: Access to wellness budgets, personal development funds, and team-level learning resources.
And that’s just the beginning. Visit our careers page to explore the full range of perks and benefits we offer.
At Super.com, we are proud to leverage cutting-edge artificial intelligence (AI) technology to make our hiring process smarter, faster, and more inclusive. By integrating AI tools into our recruitment, we enhance our ability to identify top talent efficiently while promoting fairness and consistency for every applicant.
Super.com is an equal opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.
Accommodations are available on request for candidates taking part in all aspects of the selection process. If needed, please notify your Talent Acquisition Partner.
Compensation Range: $209K - $277K