Data Analyst - Pricing

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.

• 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

• 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

• 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

• 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