Business Analytics Intern (Summer 2026) at Lincoln Avenue Communities

Santa Monica, California, United States -

Full Time

Start Date

Immediate

Expiry Date

15 May, 26

Salary

25.0

Posted On

14 Feb, 26

Experience

0 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Metric Development, KPI Design, Exploratory Data Analysis, Data Storytelling, Power BI, Tableau, Excel, SQL, Python, R, Data Cleaning, Data Transformation, ETL/ELT Pipelines, Data Warehousing, Business Intelligence, Asset Management

Industry

Real Estate

Description

About Lincoln Avenue Communities Welcome to Lincoln Avenue Communities (LAC)—a leading, mission-driven real estate private equity firm dedicated to strengthening communities through the development and preservation of affordable housing. As a vertically integrated developer, investor, and long-term operator, we deliver sustainable, high-quality homes to lower- and moderate-income individuals, seniors, and families across 32 states. Our growing portfolio—more than 180+ properties and 30,000+ homes—reflects our commitment to long-term impact, operational excellence, and resident well-being. LAC is proud to be recognized as an industry leader, recently ranked No. 1 on Affordable Housing Finance’s 2025 AHF 50 list of top developers. Our approach combines strategic investment, thoughtful design, and community partnerships to deliver housing solutions that foster stability, opportunity, and resilience. About Our Summer Internship Program Our internship program goes beyond the ordinary. Here, you won’t just be a participant but an integral part of our innovative projects, learning and growing in an environment that fosters creativity and independence. If you share our vision of raising the standards in affordable housing, we invite you to embark on this journey with us. Let’s build a future where your ideas matter, your skills are honed, and your impact is real. This 10-week paid Summer Internship Program has been developed for students to gain practical training and hands-on experience that will help them meet their educational goals and prepare them for their professional careers in real estate. When creating our Program, we carefully assessed what made an internship experience meaningful. Our goal is to provide you with a dynamic and engaging learning experience, and the opportunity to develop while having dedicated support around you. Important Reminders: Our 10-week program begins June 1, 2026, and ends August 7, 2026. We encourage students who are graduating in May/June 2027 to apply. This is a full-time role based in our Santa Monica office. What You’ll Do This internship provides hands-on experience supporting the Asset Management team by helping build and scale analytics that drive portfolio performance, operational efficiency, and strategic decision-making. You’ll work closely with Asset Management, IT, and Analytics partners to assist in supporting foundational data models and translating complex datasets into actionable business insights. Over the course of the internship, you’ll contribute to the development of our analytics ecosystem while gaining exposure to real estate asset management, data warehousing, and business intelligence tools. This summer, you will: Business & Asset Management Analytics Support the Asset Management team by developing analytics that track asset performance, operating trends, and key financial and operational metrics Assist in building standardized metrics and reporting views used for portfolio monitoring and decision-making Partner with analytics manager and other asset management stakeholders to understand reporting needs and translate them into clear analytical outputs Help document definitions, assumptions, and logic behind key metrics to ensure consistency and transparency Reporting & Visualization Build and enhance reports in Power BI to deliver actionable insights to Asset Management and leadership teams Design intuitive, executive-ready reporting that clearly communicate trends, risks, and opportunities Iterate on reports based on stakeholder feedback and evolving business needs Data Cleaning & Transformation Extract, clean, and transform data from structured and semi-structured sources (property management systems, APIs, Excel, CSV files) Identify data quality issues and assist with validation, reconciliation, and ongoing data accuracy checks Develop reusable data cleaning and transformation logic using SQL and/or Python Document data sources, transformation logic, and data quality rules to support long-term scalability Data Warehouse & Analytics Foundation Assist with building and maintaining ETL/ELT pipelines that feed the analytics data warehouse Support the design and organization of analytical data models optimized for reporting and business analysis Help with basic database optimization, performance checks, and query validation Gain exposure to data warehouse design concepts as the platform is built out and scaled What We’re Looking For Business & Analytical Skills Metric Development & KPI Design: Ability to define, calculate, and document business metrics consistently Exploratory Data Analysis (EDA): Experience analyzing datasets to identify trends, anomalies, and insights Data Storytelling: Ability to synthesize findings into clear narratives that support business decisions Core Technical Skills Data Visualization Tools: Familiarity with Power BI, Tableau, or similar BI platforms for building dashboards and reports Excel Advanced Skills: Proficiency with pivot tables, VLOOKUP, formulas, and data manipulation SQL Proficiency: Strong ability to write complex queries, joins, aggregations, and subqueries (MySQL, PostgreSQL, SQL Server, or Azure SQL) Database Fundamentals: Understanding of relational database design, normalization, indexing, and query optimization Python or R: Experience using Python (pandas, numpy) or R for data manipulation and scripting Professional Attributes Proactive, curious, and eager to learn modern data analytics and engineering practices Strong analytical thinking with attention to detail in data validation and documentation Excellent communication skills, ability to translate technical concepts for business audiences Collaborative mindset and ability to work cross-functionally with IT, Finance, and Operations teams This is a non-exempt, hourly position paying $25.00 per hour, with eligibility for overtime. Students residing outside of Los Angeles County are also eligible in receiving a $4,000 living stipend for the summer.

Responsibilities

This internship involves supporting the Asset Management team by developing analytics to track asset performance, operating trends, and key financial metrics, while also building standardized reporting views for portfolio monitoring. Responsibilities include building and enhancing reports in Power BI, designing executive-ready visualizations, and contributing to the development of the analytics ecosystem.