Staff Data Analyst, Operations id-6719
Toast is driven by building the restaurant platform that helps restaurants adapt, take control, and get back to what they do best: building the businesses they love.
We are seeking a Staff Data Analyst (Operations) to be at the forefront of Toast’s data-informed strategy, specifically focused on supporting Operations leaders responsible for enterprise application systems/workflows (e.g. Salesforce, NetSuite, Zuora, RevPro). In this pivotal role, you will spearhead critical analytics projects aimed at optimizing these key systems, improving operational efficiency, and providing data-driven insights to guide strategy. This high-impact role offers exposure to senior leadership and the chance to make a lasting impact on Toast's success. If you're passionate about leveraging data to optimize operations and thrive in a fast-paced atmosphere, this role offers an exciting opportunity to shape the future of restaurant technology.
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About this roll* (Responsibilities)
- Partner with Operations leaders to transform analytical insights into clear narratives and actionable strategies.
- Collaborate with various cross-functional teams (Marketing/Sales, Finance/Accounting, Customer Experience, Engineering) to ensure data integrity and alignment on key operational metrics related to our enterprise applications.
- Design and maintain comprehensive dashboards to track key performance indicators (KPIs) related to system health, workflow efficiency, and data quality within our core operational systems.
- Conduct in-depth analyses to identify key drivers of system performance, workflow bottlenecks, and data anomalies within systems like Salesforce, NetSuite, Zuora, and RevPro.
- Continuously identify opportunities for process improvement and automation in data collection, analysis, and reporting related to operational systems.
- Design and evaluate experiments to test hypotheses and quantify the impact of operational improvements related to these systems.
- Stay current with industry trends and emerging technologies in data analytics and operational systems management to drive innovation within the team.
- Mentor team members and foster a culture of data-informed decision-making across the organization, specifically related to operational data.
Do you have the right ingredients*? (Requirements)
- Experience working in data analytics, preferably with a focus on operational data and enterprise applications at a technology company (or similar environment).
- Strong familiarity with analyzing data from systems such as Salesforce, NetSuite, Zuora, and RevPro.
- Seasoned in transforming complex data into clear, actionable strategies for diverse audiences.
- Thorough understanding of core operational metrics, system/workflow performance analysis, and associated analytical methods.
- Adept at using SQL and Python/R for data modeling and statistical analysis (e.g. hypothesis testing, experimentation, regressions).
- Ability to effectively serve as a thought leader (and driver) for how data, analytics, and intelligence can be leveraged in solving business problems.
