Data Analyst

About MLG Capital

MLG Capital is a private real estate investment manager focused on delivering long-term, tax-efficient, risk-adjusted returns through diversified real estate strategies across the United States. As our platform continues to scale nationally, we are strengthening our data and reporting capabilities to drive operational efficiency, improve decision-making, and reduce the time required to produce core business insights.

This is MLG’s first-ever Data Analyst hire, supporting the modernization of reporting, analytics, and data operations across the firm.

Role Overview

This position will serve multiple business lines, working closely with Asset Management, Portfolio Management, Acquisitions, and additional teams over time. The Data Analyst will introduce data-driven efficiencies where they are most needed by delivering timely, accurate insights that enable faster, more informed decision-making.

The role will partner closely with the Data Engineering and BI teams to help deliver automated, scalable solutions. The analyst will also act as the data and process subject matter expert for supported business lines, ensuring asset-level and portfolio-level data is complete, clean, and ready for efficient reporting with reduced manual effort.

Key Responsibilities

Core Business Support

• Act as the subject matter expert for data, workflows, KPIs, and reporting logic across Asset Management, Portfolio Management, Fund Accounting/Tax, and Acquisitions.

• Proactively engage business stakeholders—including senior leadership—to gather, document, and align reporting requirements, data sources, and field definitions with organizational goals.

• Partner with BI Developers and Data Engineering to deliver scalable, automated reporting solutions, resolve data gaps, and improve pipeline robustness.

Reporting and Data Management

• Maintain and refresh recurring weekly, monthly, and quarterly reports, dashboards, and Excel/BI outputs for business consumption.

• Clean, transform, and standardize data, ensuring quality through QA, reconciliation, exception detection, and report testing.

• Implement data quality frameworks, validation rules, and monitoring processes to ensure analytics outputs are accurate, reliable, and consistent.

Process Improvement and Collaboration

• Establish and manage structured project workflows, cross-functional collaboration, and effective communication across assigned initiatives.

• Continuously review and enhance reporting workflows, data intake, and operational procedures to identify and eliminate inefficiencies and bottlenecks.

• Map and recommend improvements for current- and future-state workflows to increase scalability, reduce manual effort, and promote operational excellence.

Documentation and Change Management

• Document business logic, field definitions, DDL, KPI formulas, and reporting requirements to support knowledge sharing and process transparency.

• Support change-management efforts to drive adoption and maintenance of new and enhanced data solutions.

• Advocate for standardized data practices and collaborate on initiatives to enhance data completeness, accuracy, and auditability.

Analytics Advancement

• Identify gaps in data feeds and scope new sources to advance analytics capabilities.

• Recommend and implement enhancements that support the firm’s strategic goals for data-driven decision-making.

Skills & Qualifications

• 2–5 years of experience as a Data Analyst or Reporting Analyst; real estate or financial services experience strongly preferred.

• Expert Excel skills and strong experience with BI/reporting tools (Power BI preferred).

• Ability to work with messy or incomplete data and improve it through cleansing and transformation.

• Understanding of data modeling fundamentals and data process flows.

• Strong verbal and written communication skills, including the ability to translate business needs into data requirements.

• Process-oriented mindset with a passion for increasing efficiency and reducing manual work.

• Comfortable working with both business stakeholders and technical teams.

• Innate curiosity and strong critical thinking skills; enjoys solving complex problems and uncovering insights from data.

• Ability to bridge technical and business perspectives, tailoring solutions to real-world needs.

• Self-motivated and energized by challenges, viewing obstacles as opportunities for creative solutions and continuous improvement.

• Team-oriented mindset that values collaboration, celebrates collective wins, and contributes to a positive, high-performance culture.