Data Analyst, Financial, Marketing & Product Analytics

About Us

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.

• 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

• 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 specific domain (finance, marketing, or product analytics) or broadening toward a generalist…