Data Analyst - Remote
About the Company
About the Role The Data Analyst supports client-facing and internal teams by analyzing financial, operational, market, and real estate data to deliver accurate and actionable business insights. This role focuses on financial modeling, data analysis, KPI development, reporting, dashboard development, and data quality. The analyst will work with large datasets and collaborate with business and technical stakeholders to translate complex data into clear reporting, analytical solutions, and executive-ready insights. The role supports real estate acquisitions, developments, portfolio analysis, and related financial decision-making.
Responsibilities
Build and maintain financial models, analytical tools, and reporting solutions for real estate acquisitions, developments, and portfolio analysis. Analyze financial, operational, and market data to identify trends, variances, risks, and opportunities. Perform cash flow analysis, lease analysis, valuation analysis, scenario modeling, sensitivity analysis, and stress testing. Develop and maintain interactive dashboards and reporting solutions using Looker, Power BI, Tableau, or similar business intelligence platforms. Perform end-to-end data analysis, including data extraction, cleansing, validation, transformation, KPI development, analysis, and visualization. Write and maintain SQL queries to retrieve, manipulate, and analyze data from multiple sources. Design and document data models, metrics, calculations, and reporting logic to support consistent analytics. Identify data quality issues and support processes for data integrity, governance, and validation. Partner with business and technical teams to understand reporting requirements and translate them into technical analytics solutions. Automate recurring reporting and analytical processes to improve efficiency, scalability, and accuracy. Communicate analytical findings through clear visualizations, reports, and executive-ready presentations. Qualifications 2–4+ years of experience in data analytics, financial analysis, business intelligence, or a related analytical role. Required Skills Experience with Looker, Power BI, Tableau, or similar business intelligence platforms. Experience developing dashboards, KPIs, data models, and automated reporting. Strong understanding of real estate financial metrics, including IRR, NOI, Cap Rate, DSCR, and cash flow analysis. Advanced Excel skills with experience in financial modeling and working with large datasets. Strong SQL skills and experience working with relational databases. Strong analytical and problem-solving skills with a high level of attention to detail. Strong communication skills with the ability to present complex analysis to both technical and non-technical stakeholders. Ability to translate business requirements into data, reporting, and technical solutions. Preferred Skills Bachelor’s degree in Real Estate, Economics, Data Analytics, Computer Science, or a related field. Experience working in a fast-paced, client-serving, or cross-functional environment. Pay range and compensation package Bonuses/Incentives: This position is not eligible for bonuses, incentives, or commissions. Compensation may vary based on factors including education, qualifications, certifications, experience, skills, seniority, location, performance, applicable agreements, and business needs.
Responsibilities
Location: Saint Louis, MO, US Work Arrangement: Remote Experience: 2–4+ years Focus Areas: Data Analytics, Financial Analysis, Business Intelligence, Real Estate Analytics, Financial Modeling, Reporting Required Skills Benefits: Eligible employees may receive medical, dental, and vision insurance; HSA; FSA; 401(k); life, disability, and AD&D insurance. Salaried personnel receive paid time off. Hourly employees may be eligible for paid sick leave as required by law or applicable Service Contract Act projects.
About the Role
Application Apply Now to be considered for the remote Data Analyst opportunity and join a team focused on financial, real estate, and business intelligence analytics. Equal Opportunity Statement