Data Analyst, Financial, Marketing & Product Analytics

Data Analyst, Financial, Marketing & Product Analytics

Wag! & Maxbone | Miami, FL

Wag! Group Co. strives to be the number one platform to solve the service, product, and wellness needs of the modern U.S. pet household. Wag! pioneered on-demand dog walking in 2015 with the Wag! app, offering access to 5-star dog walking, sitting, and one-on-one training from a community of over 500,000 Pet Caregivers nationwide. Additionally, Wag! Group Co. operates Petted, one of the nation's largest pet insurance comparison marketplaces;
Dog Food Advisor, a leading pet food review platform;
WoofWoofTV, reaching over 18 million followers with delightful pet content on social media; and maxbone, a digital platform for modern pet essentials, offering superfoods for dogs and stylish, functional products for today's pet owners. For more information, visit

We're looking for a curious, detail-oriented Data Analyst to support financial, marketing, and product analytics across Wag! and Maxbone. This is a high impact role designed for someone 3 to 5 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.

You'll turn data into information, information into insight, and insight into recommendations that stakeholders across the company act on. This role is full-time and in-person in Miami, FL.

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

• 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

• Bachelor's degree in Computer Science, Information Technology, Data Science, Statistics, Mathematics, Business Analytics, Economics, or a related field
• 3-5 years of professional experience in data analysis, reporting, financial analysis, marketing analytics, or business intelligence (internships and co-ops count)
• Working proficiency in SQL and advanced 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

• Exposure to financial reporting or accounting concepts
• Familiarity with Redash or similar data visualization tools
• Experience or coursework in marketing or product analytics
• Interest in consumer marketplaces, two-sided platforms, or pet/consumer wellness
• Background in tech or premium consumer goods

This role is a launchpad. Strong performers build the technical range (SQL, experimentation, cross-functional influence) and business context needed to progress toward more senior analytics roles — deepening into a…