Sr. Risk Data Analyst
Now, more than ever, the Toast team is committed to our customers. We’re taking steps to help restaurants navigate these unprecedented times with technology, resources, and community. Our focus is on building the restaurant platform that helps restaurants adapt, take control, and get back to what they do best: building the businesses they love. And because our technology is purpose-built for restaurants, by restaurant people, restaurants can trust that we’ll deliver on their needs for today while investing in experiences that will power their restaurant of the future.
Toast Overview:
Toast is a rapidly growing startup building the first all-in-one restaurant management software platform. Toast’s Android tablet based system helps restaurants operate more efficiently and connect with their customer base in new and innovative ways, including ordering, inventory, and payroll. We’re growing fast and have a customer base comprised of cafes, restaurants, bars and nightclubs across the country. We work hard and care about our customers’ success and we have a lot of fun doing it. As a startup, we move fast and have a lot of opportunity for career growth, so if you’re passionate about your work and want to be in a fun and growing industry, join us! You will be helping Toast to grow our business across the US and internationally.
About this roll* (Responsibilities)
The Senior Risk Data Analyst will work across fraud, merchant, credit, and operational risk verticals to enable other team members to identify risks and build impactful tools to keep Toast and our customers safe. The primary responsibilities of this role include strategic analysis of large sets of data, project management, rule creation and maintenance, and dashboard management. The goals of this role include driving forward automation and efficiency efforts and complete ownership of data structure as it relates to risk at Toast.
- Review data and operational procedures using a risk-based approach to minimize gaps in our fraud and risk program
- Work cross-functionally with data-based teams at Toast to ensure adequate access to data
- Liaise with Data Science and Engineering to drive automation efforts
- Ingest data from external vendors and coalesce with Toast data to analyze efficacy of vendors
- Analyze large sets of transaction data to develop fraud mitigation strategy
- Build and enhance transaction monitoring rules by running ad-hoc analysis to minimize fraud loss while driving growth
- Create dashboards to monitor data as required for your role and requested by the team and other stakeholders
Do you have the right ingredients*? (Requirements)
- 3+ years of experience in data analysis, experience in fraud and/or risk is a plus
- Very strong SQL skills, R and Python skills and experience with Looker and Snowflake are a plus
- Data driven, with a passion for efficiency
- An inquisitive nature, someone who wants to explore variances, and understand root causes
- Ability to work effectively in a dynamic, changing environment and adapt while focusing on key goals and objectives with minimal oversight
*Bread puns encouraged but not required