Director of Data Analytics, Wag

• This is a high impact role designed for someone 8 to 15 years into their analytics career who wants to build broad, hands-on fluency across the business — from revenue and reconciliation work with Finance, to campaign and funnel analysis with Marketing, to usage and engagement metrics with Product — before moving into a more specialized or senior analytics track
• Bachelor's degree in Computer Science, Information Technology, Data Science, Statistics, Mathematics, Business Analytics, Economics, or a related field
• 8+ years of professional experience in data analysis, reporting, financial analysis, marketing analytics, and/or business intelligence (internships and co-ops count)
• Working proficiency in SQL and advanced proficiency in Excel (pivot tables, lookups, formulas)
• Foundational understanding of data integrity, reconciliations, and quality control practices
• Ability to communicate insights clearly to non-technical stakeholders
• High attention to detail, accuracy, and professionalism
• Comfortable managing multiple priorities in a fast-paced, ambiguous environment
• Actively use AI and emerging tools to improve workflows and productivity
• Strong sense of ownership and eagerness to grow into a more senior analytics or data science role over time
• Ability to work in-person 5x a week in our downtown Miami office
• Exposure to financial reporting or accounting concepts

Desirable

• We're looking for a curious and detail-oriented Director of Data Analytics to support financial, marketing, and product analytics across Wag! and maxbone
• You'll turn data into information, information into insight, and insight into recommendations that stakeholders across the company act on
• Financial Analytics:
• Support recurring financial reporting, revenue reconciliations, and budget-vs-actual analysis in partnership with Finance and Accounting
• Validate and reconcile data across billing, payments, and internal systems to ensure accuracy and consistency
• Help maintain documentation of data sources, definitions, and methodologies used in financial reporting
• Marketing & Product Analytics:
• Analyze marketing campaign performance (acquisition, conversion, channel ROI) and build recurring reporting for the Marketing team
• Track product usage, engagement, and funnel metrics, partnering with Product to surface trends and opportunities
• Identify patterns, anomalies, and areas for improvement across marketing and product data
• Core Responsibilities:
• Collect, clean, and validate data from multiple internal systems
• Write and optimize SQL queries for data extraction and reporting
• Build and maintain dashboards and visualizations for Finance, Marketing, and Product stakeholders
• Interpret data using statistical techniques and translate findings into clear, actionable recommendations
• Filter and "clean" data by reviewing reports and performance indicators to catch and correct errors