Senior Data Analyst, Super
Fraud
$101-141k
+ Equity options
Cashback card & online savings provider
Be an early applicant
Cashback card & online savings provider
501-1000 employees
Be an early applicant
$101-141k
+ Equity options
501-1000 employees
Company mission
To create opportunities for everyone to put more money in their pocket.
Role
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
Our take
eCommerce scaleup Super (formerly known as Snapcommerce) is looking to revolutionize the eCommerce experience. Instead of shopping around disparate sources for the best consumer product deals, Super wants users to be able to send a message to their account and have the best personalized deals returned, ready to purchase.
The company has tried-and-tested this approach with its flagship and original platform Snaptravel, which delivers travel deals via a text-like interface across Messenger, WhatsApp, and SMS. It proved a hit, crossing the $1B sales mark with nearly half of sales coming from repeat customers. This is substantial, as any significant overhaul of how people shop requires both efficacy and popularity to catch on - Snaptravel has both, which bodes well for the broader Super brand.
The recent boom in eCommerce has spilt over into a marked increase in mobile commerce, too. With Gen Z more likely to shop using mobile, and this demographic maturing into a substantial consumer demographic, Super, with some serious funding to its name, is poised to lead a bold and lucrative new wave in online shopping.
Kirsty
Company Specialist at Welcome to the Jungle
Insights
25% employee growth in 12 months
Company
Funding (last 2 of 5 rounds)
Apr 2023
$60m
SERIES C
Mar 2021
$85m
LATE VC
Total funding: $167.4m
Company 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
Company HQ
SoMa, San Francisco, CA
Leadership
Hussein Fazal
(Co-Founder & CEO)A Computer Science graduate with a background in software development, who went on to co-found and serve as CEO at AdParlor.
Henry Shi
(Co-Founder)Previously co-founded social discovery network uMentioned, and went on to work as a Google software engineer. Also invests in various internet and consumer startups.
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