The Data Analyst plays a critical role in supporting our Pricing and revenue strategy function.
This is a high-impact, hands-on role that focuses on gathering, analyzing, and reporting pricing and revenue data from multiple systems and platforms.
This role is a key contributor to the company's pricing strategy by identifying patterns, discrepancies, and opportunities within our data.
This position is ideal for someone who is passionate about solving business problems through data, thrives in Excel, and wants to grow in a fast-paced, purpose-driven organization.
Key Responsibilities
Data Analysis & Reporting
Aggregate, clean, and analyze data from multiple sources including:
Salesforce (CRM)
Yardi (Property Management System)
Power BI dashboards
Engrain, PCC, NIC Maps, and other internal systems
Develop and maintain Excel-based reports and tools to support pricing decisions and revenue analysis
Identify trends, anomalies, and opportunities across rent, fee, and occupancy data
Build early-stage predictive models to help forecast performance and guide pricing strategy
Analyze inconsistencies across datasets and systems
Investigate and resolve discrepancies by working closely with other departments (e.g., Sales, Finance, IT)
Proactively flag data quality issues and suggest process improvements
System Collaboration & Cross-Functional Support
Serve as the primary point of contact between the pricing team and the Applications/IT Team
Help troubleshoot data feeds, system connections, and report errors
Provide business context for application development needs
Collaborate with internal teams to ensure smooth flow of information and report reliability
Learn to support specific
portfolios or regions
with pricing and revenue data
Build working knowledge of assigned communities and market conditions
Eventually own reporting and analytics responsibilities for specific business areas
Qualifications
Required
Bachelor's degree in Business, Finance, Economics, Statistics, Data Science, or related field
Advanced proficiency in Microsoft Excel (pivot tables, VLOOKUP/XLOOKUP, data modeling, etc.)
Strong analytical and problem-solving skills
Excellent attention to detail and follow-through
Ability to handle multiple data sources and organize reporting workflows
Eagerness to learn the senior living industry and its pricing drivers
Preferred
Experience with any of the following systems: Salesforce, Yardi, Power BI, NIC Maps, Engrain, PCC
Exposure to data visualization or BI tools (e.g., Power BI, Tableau)
Basic experience with SQL, Python, or other programming languages a strong plus
Understanding of pricing or revenue analysis concepts a plus
Prior internship or work experience in a data-heavy or analytical role
Inquisitive & Analytical: Naturally curious with a drive to understand why the data says what it says
Data-Driven: Thrives in Excel and enjoys working with numbers, charts, and trends
Problem-Solver: Enjoys tracking down data issues and recommending solutions
Collaborative Communicator: Able to work across departments and systems with a customer-service mindset
Detail-Oriented: Accurately handles large datasets and ensures report precision
Self-Starter: Takes ownership of projects and asks smart questions to learn faster
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