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About the Role
The Director of Financial Data & Analytics will be a strategic leader driving the company’s data and reporting capabilities. This role owns the end-to-end financial and operational data ecosystem, turning complex information into actionable insights, guiding decision-making at the executive level, and leading a high-performing analytics team.
Responsibilities
- Own the core data infrastructure, leading data pipelines into Snowflake and Power BI, maintaining accuracy, consistency, and enterprise-level scalability.
- Drive strategic analytics & insights by applying predictive modeling and statistical analysis to inform executive decision-making and identify growth opportunities.
- Lead operational & financial metrics, overseeing reporting on KPIs like churn, signed accounts, and performance metrics; partner with underwriting and finance on deal evaluation.
- Build scalable systems & automation by designing future-proof data models, automating manual processes, and maintaining data integrity.
- Lead a high-performing team of 6+ direct reports across Data Analysts and Managers of Data & Analytics; set priorities, mentor talent, and elevate team capabilities.
- Collaborate with Sales, Finance, Operations, and Product teams to align on metrics, reporting, and business decisions.
Requirements
- 10+ years of experience in financial data and analytics or related fields.
- Proven experience managing teams of analysts and managers, and working with enterprise-scale datasets.
- Advanced SQL skills and strong experience with BI tools, particularly Power BI.
- Experience with data warehousing platforms (e.g., Snowflake) and familiarity with programming languages such as Python or R.
- Knowledge of AI/ML concepts applied to analytics and automation.
- Expertise in predictive modeling, statistical analysis, and identifying key drivers of performance and operational efficiency.
- Strong communication skills to translate complex data into clear, actionable insights.
- Comfort operating in fast-paced, ambiguous environments with a bias toward action.
- Experience with Salesforce, attribution modeling or SaaS is a plus.
- Work authorization in the U.S. is required.
- Visa sponsorship is not available for this role.
Skills
- Data Strategy
- Data Ecosystem Management
- Financial Data Analysis
- Operational Data Analysis
- Executive Reporting
- Team Leadership
- Data Pipelines
- Snowflake
- Power BI
- Predictive Modeling
- Statistical Analysis
- KPI Reporting
- Data Modeling
- Process Automation
- Data Integrity
- Cross-functional Collaboration
- SQL
- Python
- R
- AI/ML Concepts
- Salesforce
- Attribution Modeling
- SaaS
Location
- Remote
Work Type
- Full-time
Experience Level
- 10+ years
Benefits
- Medical, Dental and Vision Insurance
- 401k with company match
- RSUs
- Paid vacation, company holidays, sick time, and volunteer time off
- Employee Resource Groups
- Monthly cell phone and internet stipend
- Tuition reimbursement for up to $2,000 per calendar year
About the Company
- SpotOn is building restaurant tech to give independent restaurants the tools to compete and win.
- Solutions include award-winning point-of-sale and AI-powered profit tools.
- Company mission is to help operators boost profit, work smarter, and keep their best people.
- Recognized as the #1 Restaurant POS by G2 (Summer 2026).
- Rated the top-rated point-of-sale (POS) for restaurants, bars, retail, and small businesses by Capterra users.
- Awarded Great Places to Work and Built In’s Best Workplaces for multiple years running.
- Company culture emphasizes moving fast, caring hard, and fighting for independent restaurant operators.
Equal Opportunity
- Qualified candidates are considered for employment without regard to race, religion, gender, gender identity, sexual orientation, national origin, age, military or veteran status, disability, or any other characteristic protected by applicable law.
- SpotOn is an E-Verify company.