Who you are

• 5+ years of experience in data or analytics roles. Bonus if part of that time was spent in fraud, risk, trust & safety, or credit/collections domains
• Advanced proficiency in SQL for data analysis, including building production-ready queries, data models, and analytics workflows
• Experience working with complex datasets in modern data warehouse and transformation tools (e.g., Snowflake, dbt) and at least one BI/dashboarding tool (e.g. Looker, Amplitude, Tableau)
• Proven track record of owning ambiguous problem spaces end-to-end: scoping questions, defining clear success metrics, validating data quality, and iterating based on stakeholder feedback
• Excellent communication and data storytelling skills, able to translate complex analysis into clear, actionable recommendations for both technical and non-technical audiences
• Demonstrated ability to partner cross-functionally including prioritizing competing requests and aligning stakeholders on next steps and trade-offs
• High degree of ownership and urgency, comfortable working in a fast-paced environment where fraud patterns evolve quickly and decisions have meaningful financial impact
• Comfortability working with messy, event-level product data across mobile and web, tracing end-to-end user journeys and debugging tracking or data quality issues with engineers

What the job involves

• Our data analysts are embedded team members, and work alongside PM’s, software engineers and designers in our mission aligned team (MAT) model
• This allows our team members to gain deep experience and context into vertical-specific business problems, quickly growing into subject matter experts
• This position offers a dynamic and impactful opportunity to assume ownership of your work as you conduct in-depth analyses and productionize your work
• This role specifically will work with user and transaction-level data to proactively detect and prevent earnings fraud
• You’ll build and maintain fraud monitoring dashboards, investigate suspicious activity, and collaborate with cross-functional stakeholders to develop, test, and improve our fraud rules
• You’ll communicate insights, support incident response, and ensure data quality to minimize financial loss and protect safe users
• 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 almost every day, and we are looking for teammates to roll up their sleeves and do high quality data work
• Analyzing complex datasets to identify patterns of fraudulent behaviour and generate actionable insights that reduce earnings fraud
• Building and maintaining dashboards and reporting solutions for fraud monitoring and self-serve analytics
• Collaborating with cross-functional teams to scope, prioritize, and deliver analytics projects that inform product roadmap and operational decisions
• Investigating anomalies and support root cause analysis for fraud incidents
• Supporting development and testing of fraud rules: help define objectives, use data to inform and optimize rules, analyze A/B tests, and measure impact on key metrics
• Advocating for data quality, governance, and best practices to ensure consistency, reliability, and security of our data assets
• Communicating findings clearly to technical and non-technical stakeholders across written and verbal channels, while documenting processes and results
• Participating in weekly fraud syncs, sprint planning, and cross-team channels to stay aligned on priorities and incident response
• Independently identifying high-impact business problems and develop the right data-driven solutions

Benefits

• Competitive base salary
• Yearly learning & development allowance
• Bi-annual performance & compensation reviews
• Generous equity options
• RRSP & 401k employee contribution plan
• Health, dental, & vision insurance on day one
• Parental leave programs
• Wellness reimbursement
• Supplemental Life Insurance
• Unlimited PTO (yes, really!)
• Recharge days throughout the year
• Permanent remote flexibility
• Work-from-home allowance
• Office in Toronto