Lead the financial data and analytics function at SpotOn, owning the end-to-end data ecosystem from pipelines in Snowflake/Power BI to executive insights. Manage a team of 6+ analysts/managers, drive predictive modeling and KPI reporting on churn and performance, and partner cross-functionally with Sales, Finance, and Product to inform strategic decisions.
170k – 225k/yr
Hybrid10+ YOEData Analytics
About the role
Your Mission
Own the enterprise data ecosystem, from pipelines to executive dashboards, ensuring accurate, scalable, and actionable insights that drive strategic decisions and business growth.
Translate complex financial and operational data into clear recommendations that influence leadership and cross-functional priorities.
Lead, develop, and inspire a high-performing team of analysts and managers, fostering a culture of ownership, accountability, and continuous improvement.
Ensure the integrity of key metrics, automate processes where possible, and scale systems for accuracy and efficiency.
What You’ll Do
Own the core data infrastructure: Lead data pipelines into Snowflake and Power BI, maintaining accuracy, consistency, and enterprise-level scalability.
Drive strategic analytics & insights: Apply predictive modeling and statistical analysis to inform executive decision-making and identify growth opportunities.
Lead operational & financial metrics: Oversee reporting on KPIs like churn, signed accounts, and performance metrics; partner with underwriting and finance on deal evaluation.
Build scalable systems & automation: Design future-proof data models, automate manual processes, and maintain data integrity.
Lead a high-performing team: Manage 6+ direct reports across Data Analysts and Managers of Data & Analytics; set priorities, mentor talent, and elevate team capabilities.
Cross-functional partnership: Collaborate with Sales, Finance, Operations, and Product teams to align on metrics, reporting, and business decisions.
What You’ll Bring
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
Bonus points: Experience with Salesforce, attribution modeling or SaaS.
Benefits
Medical, Dental and Vision Insurance
401k with company match
RSUs
Paid vacation, company holidays, sick time, and volunteer time off
Employee Resource Groups to build community and inclusion at work
Monthly cell phone and internet stipend
Tuition reimbursement for up to $2,000 per calendar year to assist with your professional development
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