Controller-Fund Accounting
Spectrum Search Group, Dallas, TX, United States
This role is focused on driving operational performance, revenue optimization, and data-driven decision-making across a growing real estate portfolio. The position is highly analytical and execution-oriented, with an emphasis on pricing strategy, financial modeling, and translating complex datasets into actionable business insights.
Key Responsibilities
Lead revenue optimization efforts through dynamic pricing strategies, performance analytics, and market intelligence
Build, maintain, and enhance asset-level and portfolio-level financial models to support strategic initiatives
Develop scenario and sensitivity analyses tied to operational, market, and capital variables
Convert unstructured and disparate data into clear assumptions, forecasts, and decision-ready outputs
Analyze internal KPIs and external datasets to identify trends, risks, and opportunities impacting performance
Own and continuously improve internal data infrastructure, including pricing and revenue models
Produce and distribute recurring operational reporting across revenue, staffing, maintenance, and customer metrics
Drive pricing recommendations at the unit and floorplan level based on leasing velocity, competitive positioning, and revenue targets
Partner cross-functionally with operations, asset management, and systems teams to influence strategic decisions
Support budgeting, forecasting, and business planning processes with data-backed insights
Prepare executive-level materials and present findings to senior leadership and external stakeholders
Conduct periodic market and asset visits to validate assumptions and identify operational opportunities
Qualifications
3+ years of experience in operations analytics, asset management, real estate analytics, or a similar data-driven role
Strong background in financial modeling, forecasting, and performance analysis (not underwriting-focused)
Advanced Excel skills required; experience with BI tools (e.g., Power BI, Domo) strongly preferred
Experience working with large datasets and multiple data sources
Strong communication skills with the ability to present insights to senior stakeholders
Demonstrated ability to work cross-functionally in a fast-paced environment
Profile
Highly analytical with a strong focus on operational performance and revenue drivers
Comfortable working with ambiguity and translating data into structured insights
Proactive, self-directed, and capable of managing multiple priorities simultaneously
Detail-oriented with a strong sense of ownership over outputs and accuracy
Naturally curious with a focus on continuous improvement and process optimization
Able to connect data analysis to real-world operational and financial outcomes
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Key Responsibilities
Lead revenue optimization efforts through dynamic pricing strategies, performance analytics, and market intelligence
Build, maintain, and enhance asset-level and portfolio-level financial models to support strategic initiatives
Develop scenario and sensitivity analyses tied to operational, market, and capital variables
Convert unstructured and disparate data into clear assumptions, forecasts, and decision-ready outputs
Analyze internal KPIs and external datasets to identify trends, risks, and opportunities impacting performance
Own and continuously improve internal data infrastructure, including pricing and revenue models
Produce and distribute recurring operational reporting across revenue, staffing, maintenance, and customer metrics
Drive pricing recommendations at the unit and floorplan level based on leasing velocity, competitive positioning, and revenue targets
Partner cross-functionally with operations, asset management, and systems teams to influence strategic decisions
Support budgeting, forecasting, and business planning processes with data-backed insights
Prepare executive-level materials and present findings to senior leadership and external stakeholders
Conduct periodic market and asset visits to validate assumptions and identify operational opportunities
Qualifications
3+ years of experience in operations analytics, asset management, real estate analytics, or a similar data-driven role
Strong background in financial modeling, forecasting, and performance analysis (not underwriting-focused)
Advanced Excel skills required; experience with BI tools (e.g., Power BI, Domo) strongly preferred
Experience working with large datasets and multiple data sources
Strong communication skills with the ability to present insights to senior stakeholders
Demonstrated ability to work cross-functionally in a fast-paced environment
Profile
Highly analytical with a strong focus on operational performance and revenue drivers
Comfortable working with ambiguity and translating data into structured insights
Proactive, self-directed, and capable of managing multiple priorities simultaneously
Detail-oriented with a strong sense of ownership over outputs and accuracy
Naturally curious with a focus on continuous improvement and process optimization
Able to connect data analysis to real-world operational and financial outcomes
#J-18808-Ljbffr