Data Analyst

About the Company

RNGD is a rapidly scaling organization emerging as a nationally recognized leader in construction through our unique Renegade mindset focused on innovation, creativity, and culture. The team is made up of a highly engaged group of seasoned professionals and emerging leaders. We are creators who believe that what we build drives the growth of our cities and that to fulfill our mission, we must constantly challenge the old way of doing things.

Headquartered in New Orleans, Louisiana, we thrive on building communities, building teams, building leaders, and growing the business throughout the Southeast region with additional offices in Mississippi, Tennessee, and Alabama.

We are seeking a Data Analyst that will transform data into actionable insights and support informed decision-making across all levels of RNGD. This role is ideal for a highly motivated and detail-oriented professional and is responsible for developing Power BI reports, exploring and implementing data-management solutions that leverage artificial intelligence and machine learning, automating processes using Microsoft Power Platform, and writing SQL queries to retrieve data from RNGD’s Snowflake database.

• Power BI Reporting and Analytics
• Design, build, maintain, and continuously improve Power BI reports and semantic models.
• Create user-friendly dashboards with strong visual design, clear business context, consistent formatting standards, and high attention to usability and performance.
• Write and troubleshoot DAX measures, calculated columns, Power Query transformations, and report logic to ensure accurate, reliable, and actionable insights.
• Data Modeling, SQL, and Data Warehousing
• Develop SQL queries to support reporting, analysis, and data-quality needs.
• Partner with data engineering and business teams to improve data models, troubleshoot refresh failures, resolve source-system issues, and strengthen reporting reliability.
• Data Governance, Security, and Access Control
• Support data-governance practices that improve the quality, consistency, usability, and reliability of organizational data.
• Configure and maintain approved row-level security and support report access controls and sensitivity labeling in coordination with system and data owners.
• Document report logic, calculations, data definitions, source information, security logic, access requirements, data classifications, and user guidance.
• Identify missing, inconsistent, duplicate, or unreliable data and coordinate appropriate review and correction.
• Maintain organized documentation for reports, semantic models, queries, automated workflows, and recurring analytical processes while following established data-access, confidentiality, security, and governance requirements.
• Process Automation and Business Systems Support
• Build, test, maintain, and support workflow automations using Microsoft Power Platform, SharePoint, and related tools.
• Identify opportunities to reduce manual effort, improve workflow consistency, and strengthen the reliability of recurring business processes.
• Troubleshoot automation failures and coordinate resolution with system owners or technical partners when needed.
• Identify opportunities to apply artificial intelligence-enabled analytics and automation capabilities where they provide practical business value.
• Document automated processes, dependencies, ownership, user requirements, and support procedures.
• Stakeholder Partnership, Adoption, and Continuous Improvement
• Partner with stakeholders across business functions to understand operational needs and translate them into practical analytics and automation solutions.
• Communicate findings, report logic, assumptions, data limitations, and recommendations clearly to technical and non-technical audiences.
• Develop user guides, reference materials, and other resources that help employees understand and use analytics products effectively.
• Lead training and provide ongoing support to strengthen user adoption and confidence.
• Manage multiple requests, priorities, dependencies, and timelines while communicating progress and challenges appropriately.

• Bachelor’s degree in computer science, data science, business, or a related discipline preferred.
• Three or more years of proven experience as a Data Analyst, with a focus on Power BI and SQL.
• Strong analytical and problem-solving skills with close attention to detail.
• Familiarity with Microsoft Power Platform.
• Ability to work independently and…