Investment Analyst
Blayze Group
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Dallas, TX
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Associate
Posted April 2, 2026
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Responsibilities
Responsibilities
- Underwrite investment properties, including rental rates, valuation, and capital requirements
- Build and refine underwriting assumptions across potential investments
- Develop financial models (DCF, IRR, NPV, Cap Rates, Yield on Cost)
- Conduct and interpret real estate market analysis and surveys
- Track performance and economic indicators across new acquisitions
- Support due diligence processes and investment evaluations
- Analyze existing assets and provide reporting on investment activity
- Recommend improvements to investment and asset management processes
- Monitor financial and operational performance on an ongoing basis
- Adjust rental pricing based on market conditions and internal data
- Partner with internal teams and participate in investment/operations calls
- Support ad hoc projects for senior leadership Data & Analytics Focus (Critical)
- Build dashboards and reporting tools using Power BI (mandatory)
- Use Python (mandatory) for data analysis, automation, and modeling
- Translate large datasets into actionable insights for investment decisions
- Monitor KPIs and performance through data visualization tools
- Work across systems (e.g., Salesforce, NetSuite, Excel) to streamline reporting What We’re Looking For
Not Met Priorities
What still needs stronger evidence
Requirements
- Use Python (mandatory) for data analysis, automation, and modeling
- Monitor KPIs and performance through data visualization tools
- Work across systems (e.g., Salesforce, NetSuite, Excel) to streamline reporting What We’re Looking For
- 1–4 years of experience in financial analysis or modeling
- Strong Excel and financial modeling skills (real estate preferred)
- Hands-on experience with Power BI and Python (non-negotiable)
- Ability to build and interpret complex financial models and datasets
- Strong understanding of investment metrics (DCF, IRR, NPV, etc.)
- Highly analytical with strong attention to detail
- Ability to manage multiple priorities and meet deadlines
- Strong communication and stakeholder management skills
- Self-starter with high ownership and curiosity
Preferred Skills
- Strong Excel and financial modeling skills (real estate preferred)
- Hands-on experience with Power BI and Python (non-negotiable)
Education
- (Not required) – Bachelor’s degree in Finance, Real Estate, Economics, Mathematics, or similar
- (Not required) – 1–4 years of experience in financial analysis or modeling
We’re partnering with a real estate investment platform looking to hire a Financial Analyst to support underwriting, acquisitions, and portfolio performance through a strong mix of financial modeling and data analytics . This role sits close to leadership and plays a key part in driving investment decisions through data . What You’ll Do
Underwrite investment properties, including rental rates, valuation, and capital requirements
Build and refine underwriting assumptions across potential investments
Develop financial models (DCF, IRR, NPV, Cap Rates, Yield on Cost)
Conduct and interpret real estate market analysis and surveys
Track performance and economic indicators across new acquisitions
Support due diligence processes and investment evaluations
Analyze existing assets and provide reporting on investment activity
Recommend improvements to investment and asset management processes
Monitor financial and operational performance on an ongoing basis
Adjust rental pricing based on market conditions and internal data
Partner with internal teams and participate in investment/operations calls
Support ad hoc projects for senior leadership Data & Analytics Focus (Critical)
Build dashboards and reporting tools using Power BI (mandatory)
Use Python (mandatory) for data analysis, automation, and modeling
Translate large datasets into actionable insights for investment decisions
Monitor KPIs and performance through data visualization tools
Work across systems (e.g., Salesforce, NetSuite, Excel) to streamline reporting What We’re Looking For
Bachelor’s degree in Finance, Real Estate, Economics, Mathematics, or similar
1–4 years of experience in financial analysis or modeling
Strong Excel and financial modeling skills (real estate preferred)
Hands-on experience with Power BI and Python (non-negotiable)
Ability to build and interpret complex financial models and datasets
Strong understanding of investment metrics (DCF, IRR, NPV, etc.)
Highly analytical with strong attention to detail
Ability to manage multiple priorities and meet deadlines
Strong communication and stakeholder management skills
Self-starter with high ownership and curiosity
Underwrite investment properties, including rental rates, valuation, and capital requirements
Build and refine underwriting assumptions across potential investments
Develop financial models (DCF, IRR, NPV, Cap Rates, Yield on Cost)
Conduct and interpret real estate market analysis and surveys
Track performance and economic indicators across new acquisitions
Support due diligence processes and investment evaluations
Analyze existing assets and provide reporting on investment activity
Recommend improvements to investment and asset management processes
Monitor financial and operational performance on an ongoing basis
Adjust rental pricing based on market conditions and internal data
Partner with internal teams and participate in investment/operations calls
Support ad hoc projects for senior leadership Data & Analytics Focus (Critical)
Build dashboards and reporting tools using Power BI (mandatory)
Use Python (mandatory) for data analysis, automation, and modeling
Translate large datasets into actionable insights for investment decisions
Monitor KPIs and performance through data visualization tools
Work across systems (e.g., Salesforce, NetSuite, Excel) to streamline reporting What We’re Looking For
Bachelor’s degree in Finance, Real Estate, Economics, Mathematics, or similar
1–4 years of experience in financial analysis or modeling
Strong Excel and financial modeling skills (real estate preferred)
Hands-on experience with Power BI and Python (non-negotiable)
Ability to build and interpret complex financial models and datasets
Strong understanding of investment metrics (DCF, IRR, NPV, etc.)
Highly analytical with strong attention to detail
Ability to manage multiple priorities and meet deadlines
Strong communication and stakeholder management skills
Self-starter with high ownership and curiosity