Senior Analyst, Capacity Management

TAG - The Aspen Group•Chicago, IL

5d•$105,000 - $115,000

About The Position

The Aspen Group (TAG) is seeking a Senior Analyst, Capacity Optimization to join their Revenue Management organization. This role will play a key part in shaping patient access across a network of healthcare brands. The analyst will lead end-to-end initiatives focused on optimizing capacity and access across offices, days, and hours. Responsibilities include designing strategies, deploying solutions, building performance dashboards, partnering with data science on automation, and collaborating with various cross-functional teams. The ideal candidate is adept at translating data into decisions, building repeatable processes, and uncovering insights to drive revenue performance and patient access. This role involves leading initiatives in forecasting, scheduling optimization, demand modeling, capacity planning, and revenue strategy, as well as shaping how analytics are delivered and scaled. It is suited for a builder who enjoys solving complex problems using data, operational logic, and automation.

Requirements

3–5+ years of experience in capacity optimization, supply/demand planning, revenue management, operations research, pricing, labor/workforce optimization, or network planning in airline, travel, hospitality, logistics, healthcare, or other multi-location service industries.
Bachelor’s degree in Business, Finance, Economics, Analytics, or Statistics required; Master’s degree a plus.
Experience working alongside data science/engineering teams to automate and scale analytics processes.
Exceptional analytical, problem-solving, and communication skills — with the ability to influence senior stakeholders.
Detail-oriented, self-starter mindset with a passion for driving results.
Strong analytical and quantitative skills, with experience in forecasting, modeling, or optimization.
Strong technical proficiency in SQL and a modern BI platform (e.g., Tableau, Looker).
Familiarity with scripting (e.g., Python or R) or automation tools (e.g., DBT, Airflow) — not required, but helpful.

Nice To Haves

Master’s degree a plus.
Familiarity with scripting (e.g., Python or R) or automation tools (e.g., DBT, Airflow) — not required, but helpful.

Responsibilities

Lead strategy development for optimizing revenue performance at the office, day, and hour level by leveraging forecasting, scheduling, and demand modeling — while balancing access for patients and operational efficiency.
Build analytical frameworks to support pricing, demand forecasting, scheduling, and access optimization.
Identify revenue opportunities through data-driven analysis of booking trends, cancellations, no-shows, and utilization.
Monitor and update demand and schedule availability through the analysis of historical and future booking trends, the pricing environment, industry capacity trends, competitive landscape, and other factors.
Develop and maintain forecasting, demand models, dashboards, and scenario analyses.
Run experiments and structured tests to evaluate new operational and scheduling strategies.
Create clear, actionable insights that influence senior leaders and cross-functional partners.
Map existing manual workflows and identify opportunities to automate recurring analyses or reporting.
Partner with Data Science, Engineering, and Technology teams to scale forecasting and optimization tools.
Develop reusable analytical assets, frameworks, and documentation.
Work closely with Operations, Finance, Product, Marketing, and Clinical teams to align strategies and execution.
Help shape and scale the function by building new playbooks, reports, and best practices.
Act as a subject matter expert in forecasting, demand modeling, and capacity optimization.