Senior Data Analyst Data Scientist

The Role:

The Senior Data Analyst / Data Scientist will lead business intelligence analytics reporting and decision-support for a growing self-storage and real estate organization. Reporting to the Chief Financial Officer this hands-on role transforms financial operational customer and market data into actionable insights that improve revenue occupancy budgeting forecasting customer service and portfolio performance. The successful candidate will be:

Highly organized detail-oriented and able to connect analysis to the broader business strategy.

Proactive resourceful and comfortable working independently in a fast-paced environment.

Customer-service focused and responsive to the needs of executives corporate teams and field operations.

A practical problem solver who communicates complex findings clearly to non-technical stakeholders.

Collaborative adaptable accountable and willing to work on-site in York Pennsylvania.

Essential Duties:

Specific duties and functions of the position include but are not limited to:

Business Intelligence and Power BI:

o Serve as the companys Power BI subject-matter expert; design develop deploy and maintain executive financial operational revenue-management marketing and property-level dashboards.

o Build scalable data models using Power Query DAX semantic modeling automated refreshes permissions documentation and quality controls.

o Replace manual spreadsheet reporting with accurate repeatable user-friendly reporting solutions and train employees to interpret and use the information.

Self-Storage Revenue Management and Customer Analytics:

o Analyze occupancy economic occupancy move-ins move-outs achieved and street rates discounts concessions delinquency retention lead conversion and unit-type performance.

o Partner with operations and revenue management to evaluate pricing rate increases promotions demand patterns customer behavior competitive conditions and underperforming properties.

o Measure the impact of operational marketing pricing and customer-service initiatives and identify opportunities to improve revenue occupancy retention and net operating income.

Budgeting Forecasting and Financial Analysis:

o Support annual property and portfolio budgets monthly forecasting variance analysis scenario planning and performance comparisons to budget prior year forecast and underwriting.

o Analyze revenue operating expenses NOI capital expenditures and other financial measures; clearly explain significant variances and business implications.

o Assist with acquisition underwriting due diligence post-closing performance tracking and integration reporting as requested.

Data Science Automation and Systems Integration:

o Develop statistical predictive machine-learning or AI-supported models when appropriate for revenue forecasting pricing optimization customer retention lead conversion and property performance.

o Develop maintain or support APIs and other integrations among operational accounting accounts-payable revenue-management and reporting platforms.

o Create reliable data pipelines and automated workflows that consolidate information reduce duplicate entry and eliminate unnecessary manual processes.

o Evaluate emerging analytical and AI technologies based on business value scalability cost security and user adoption.

Data Governance Quality and Collaboration:

o Establish consistent KPI definitions reconcile outputs to source systems and accounting records troubleshoot discrepancies and maintain documentation of data sources and methodologies.

o Protect confidential company customer employee and financial information and support sound data-governance practices.

o Translate business questions into practical analytical solutions manage competing priorities and provide responsive service to internal customers and third-party technology partners.

Experience and Qualifications:

Were looking for someone with the following:

Bachelors degree in data analytics data science statistics mathematics computer science finance accounting economics business or a related field.

Five or more years of progressively responsible experience in business intelligence analytics financial analysis data science or a comparable role.

Expert-level Power BI experience including dashboard design DAX Power Query data modeling visualization administration and automated reporting.

Self-storage experience strongly preferred including property operations budgeting revenue management pricing occupancy and multi-location performance analysis.

Advanced Excel skills; working knowledge of SQL relational databases and integration of data from multiple platforms.

Experience with API development or integration. Python R Microsoft Fabric Azure data warehouses machine learning or AI tools are additional advantages.

Experience with Sage 100 AvidXchange Self Storage Manager or comparable property-management software and Veritec or comparable revenue-management technology is a plus.

Excellent analytical judgment written and verbal communication project management organization accuracy and ability to perform under changing priorities.

Ability and willingness to work on-site in York Pennsylvania.

Core Competencies:

Business and financial acumen; Power BI and data-visualization expertise; self-storage and revenue-management knowledge; analytical problem solving; systems thinking; process improvement; data storytelling; customer-service orientation; intellectual curiosity; initiative; accuracy; accountability; adaptability; and cross-functional collaboration.

Physical Requirements:

Duties are generally performed in a standard indoor office environment.

Ability to remain stationary and use a computer for prolonged periods; occasional bending reaching and repetitive motion may be required.