Job Description
The Aspen Group (TAG) is one of the largest and most trusted retail healthcare business support organizations in the U.S. and has supported over 20,000 healthcare professionals and team members at more than 1,300 health and wellness offices across 48 states in four distinct categories: dental care, urgent care, medical aesthetics, and animal health. Working in partnership with independent practice owners and clinicians, the team is united by a single purpose: to prove that healthcare can be better and smarter for everyone. TAG provides a comprehensive suite of centralized business support services that power the impact of five consumer-facing businesses: Aspen Dental, ClearChoice Dental Implant Centers, WellNow Urgent Care, Chapter Aesthetic Studio, and Lovet Pet Health Care. Each brand has access to a deep community of experts, tools and resources to grow their practices, and an unwavering commitment to delivering high-quality consumer healthcare experiences at scale. We are hiring a Senior Analyst, Planning and Marketing Analytics to support performance-driven growth across our markets. This role sits within TAG’s Performance and Growth organization and is fully dedicated to the ClearChoice brand , responsible for developing data, reporting, and analytics solutions. We are looking for a candidate with strong technical skills, a keen eye for detail, excellent organizational and communication skills, and a passion for finding new ways to solve problems. What You’ll Do Marketing and Sales Funnel Analytics Execute analytical diagnostics and deep dive analyses to support ongoing business needs – evaluate and report on performance of every stage of the funnel Identify drivers of traffic, leads, appointments, conversion, and revenue across channels Design and build user-friendly Tableau dashboards to enable functional leaders to stay updated on performance of ongoing initiatives Marketing Performance & Analytics Analyze performance across paid media, CRM/lifecycle, website, and other demand-driving efforts Identify drivers of traffic, leads, appointments, conversion, and revenue across markets and channels Evaluate incrementality, distinguishing baseline demand from marketing-driven impact Develop insights on channel interaction and media mix Support the marketing org’s test and learn agenda through optimal test designs and measurement Synthesize multiple data sources (e.g., GA, Salesforce, CRM, call center data, paid platforms) into a cohesive performance view Reporting & Insights Lead development of integrated performance reporting for weekly, monthly, and leadership forums, connecting media and sales performance to operational factors such as capacity, scheduling, and days open Build clear performance narratives by synthesizing inputs from channels, CRM, and business owners Translate data into actionable recommendations that inform marketing, product, and operational decisions Cross-Functional Partnership Work closely with: Paid Media CRM / Lifecycle Marketing Revenue Management Finance & Operations Ensure analytics are embedded in day-to-day decision-making, not operating in isolation What We’re Looking For Experience 3-5 years in business analytics or marketing analytics Experience owning or contributing to recurring performance reporting (e.g., weekly or monthly), with the ability to analyze multi-channel marketing performance, identify trends, diagnose drivers, connect results to business outcomes, and recommend actions. Experience in multi-location, service-based, or healthcare-adjacent businesses is a plus Undergraduate degree in Business, Finance, Economics, Analytics, Computer Science, Statistics, or related field preferred Core Skills Strong ability to move from data → insight → recommendation Experience with marketing performance metrics (cost per appointment, conversion rates, funnel metrics) Must have the ability to independently structure/resolve problems by incorporating/balancing relevant factors and grasping mathematical concepts related to budgeting and forecasting Experience with Excel, SQL (Big Query preferred), Tableau required; experience with analytics tools such as Python and R a plus Hands-on experience extracting, integrating, and analyzing data across multiple sources (e.g., Google Analytics, paid media platforms, CRM), including combining disparate datasets and building scalable dashboards Key Characteristics Highly collaborative – thrives in cross-functional e