Staff Data Analyst

Summary

Join Toast as a Staff Data Analyst (Operations) and lead critical analytics projects focused on optimizing enterprise application systems like Salesforce, NetSuite, Zuora, and RevPro. Partner with Operations leaders to translate insights into actionable strategies, collaborate with cross-functional teams, and design dashboards to track KPIs. Conduct in-depth analyses to identify performance drivers and bottlenecks, and continuously seek process improvements. This high-impact role involves mentoring team members and staying current with industry trends. The position offers exposure to senior leadership and the chance to significantly impact Toast's success.

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

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

Benefits

• Competitive compensation and benefits programs
• Cash compensation (overtime, bonus/commissions if eligible)
• Equity