Financial Data Scientist

Description

• Builds dashboards and visualizations to support leadership reporting and performance tracking.
• Collaborates with FP&A analysts to enhance budgeting, scenario planning, and variance analysis.
• Leads integration efforts with ERP, BI, Data Warehousing, and CPM systems to ensure seamless data flow and usability.
• Serves as the primary liaison between the FP&A team and internal/external developers for system upgrades, integrations, and enhancements.
• Automate data collection, transformation and analytics with scripts and lower-level programing languages (e.g. Java, python).
• Analyzes large datasets to identify trends, risks, and opportunities impacting financial performance.
• Automates data workflows and reporting processes to improve efficiency and accuracy.
• Supports the development and maintenance of predictive models for revenue, expense, and cash flow forecasting.
• Assists with sensitivity analysis and financial modeling for MHPI project restructures and operational issues.
• Automate report generation for dashboard tools including PowerBI and Tableau.
• Coordinates with FP&A Director, Asset Managers, and Operations Teams to create the annual operating and capital budget.
• Supports ad hoc analysis for business cases, investments, and cost optimization initiatives.

Requirements

• Knowledge of financial and accounting concepts, property maintenance processes and the related to successful multi-family operations.
• 1-3 years Experience with Yardi property management platform and Snowflake data warehouse is a plus. Preferred
• 1-3 years Strong understanding of financial modeling, forecasting, and property management metrics. Required
• Strong communication skills to present complex insights to non-technical stakeholders.
• Bachelor's Degree Data Science, Finance, Economics, Statistics, or related field. Required or
• Expert knowledge of dashboard tools.
• 1-3 years Familiarity with ERP systems (e.g., Yardi, Workday, JDE), financial planning tools (e.g., Planful, Adaptive Insights), or other CPM systems. Preferred
• 1-3 years Proficiency in Python, SQL, and data visualization tools (e.g., Tableau, Power BI). Required and
• 1-3 years Understanding of occupancy trends, maintenance cycles, and capital planning in residential property management. Preferred
• Master's Degree Data Science, Finance, Economics, Statistics, or related field. Preferred and
• 1-3 years Experience in military housing, government contracts, or real estate operations. Preferred
• 1-3 years Experience working with large datasets and statistical/predictive analysis. Required
• Excellent problem-solving skills with attention to detail and a results driven mindset.
• 1-3 years Proven data science experience in finance and/or FP&A. Required and
• Knowledge of statistical modeling, machine learning, and time series forecasting.

Benefits

Training + Development

Interview process

Visa Sponsorship

Security clearance