YES Communities, founded in 2008, owns and operates manufactured housing communities in many states. YES takes a new approach to manufactured home communities and works to build and maintain an environment in each community that reflects their positive YES attitude. YES’s unique operating model, personal approach and strong corporate culture has garnered it the Community Operator of the Year award by the Manufactured Housing Institute for the past ten years.

At YES! Communities we look at Manufactured Housing Communities in a whole new way! Too many times in the past manufactured home communities had the reputation of saying NO! to home loans, leasing agreements and requests due to their stringent guidelines and rules. We want our residents to be part of a different type of community, where they are truly hearing YES! to creating a community that is all their own. 



YES! Communities provides customers with affordable housing options, a community that is well-maintained, clean, and attractive, as well as an atmosphere that builds a true community around its residents.

YES! Communities offers homes for any size of family or budget. We have high-quality factory-built homes ranging from single to multi-section, fitting every stage of life.

Position Summary:

As a Data Analyst, you will support data transformation and visualization efforts by developing ETL processes, uncovering insights, and building dashboards that highlight key business metrics. Working closely with our team, you will provide subject-matter expertise across our operating platform, visualization tools, and data warehouse framework. The ideal candidate is skilled in data analytics and dashboard development, communicates complex data concepts clearly, and brings a thoughtful, structure approach to problem solving.

Key Responsibilities:

Leverage SQL to aggregate and process large data sets across multiple data sources, including custom views and stored procedures

Design and implement Incorta dashboards to visualize key business metrics and company-wide reporting

Build, validate, and maintain ETL pipelines across platforms – identify appropriate data sources, write scripts, develop visualizations, and iterate as needed

Translate complex technical concepts to non-technical business users in a clear, concise manner

Partner with the FP&A team and cross-functional stakeholders to deliver insights that drive strategic planning, operational efficiency, and financial performance

Maintain and improve documentation for data sources, structures, and processes

Support ad hoc analyses and special projects as assigned

Qualifications:

Bachelor’s degree in Data Analytics, Computer Science, Business Analytics, or related field (required)

Strong proficiency in SQL (SQL Server and PostgreSQL), including scripting, aggregation functions, and query optimization techniques

Proficiency in Python and/or PySpark scripting.

Experience with BI Analytics tools such as Tableau, Incorta, or other BI platforms.

Experience or familiarity with database modeling and database management best practices.

Strong written and verbal communication skills, with exceptional attention to detail.

Proven ability to independently learn and apply new tools, technologies, and processes.

Self-motivated and adaptable, with the ability to manage multiple priorities in a dynamic, fast-paced environment.