Data Applications & Analytics Analyst

About the role

LBA Logistics & LBA Properties (“LBA”) is a full-service real estate investment and management company headquartered in Irvine, CA. LBA has a national industrial portfolio in all the major markets throughout the U.S. as well as a diverse office portfolio on the West Coast. LBA is a privately held company founded in 1991 with approximately 250 employees. LBA operates several closed-end real estate investment funds.

Responsibilities

• Respond to day-to-day data and configuration requests across the company’s operational and business systems.
• Build deep working knowledge of how data flows through each system — how it is entered, approved, maintained, and consumed.
• Partner with business teams to scope, test, and roll out application enhancements, configuration changes, and workflow improvements.
• Support user access reviews, role assignments, and permission updates across business applications.
• Help triage reporting and application issues by tracing the root cause to process, source data, integration, access, or reporting logic.
• Document business processes, system workflows, and standard operating procedures so knowledge is shared and reusable.
• Translate technical issues into clear, plain-language updates for business users.
• Contribute to data integration work across the company’s cloud data platform, BI tools, and broader system landscape.
• Maintain tables, lakehouse structures, warehouse objects, and validation layers that support reporting-ready datasets.
• Investigate refresh failures, missing records, schema changes, access problems, and data quality exceptions.
• Coordinate with vendors and consultants to test deliverables and validate technical outputs.
• Work with business users to gather requirements and turn them into clear data and reporting needs.
• Build and test measures, calculations, filters, and data models so dashboards are accurate and easy to use.
• Reconcile report outputs against source systems, Excel files, and business expectations.
• Improve dashboard usability through better field organization, labeling, visuals, and consistent business logic.
• Run recurring data quality checks — reconciliation, duplicate detection, missing values, and source-to-report validation.
• Document data definitions, transformation logic, system mappings, and reporting assumptions.
• Flag process gaps that cause inconsistent data and partner with stakeholders to resolve them.
• Help establish repeatable validation processes, exception reports, and lightweight data quality controls.
• Keep documentation current so reporting logic can be understood, reviewed, and reused.
• Support internal AI and automation efforts focused on document analysis, data search, and reporting productivity.
• Evaluate and implement AI-enabled tools where they meaningfully improve validation, reporting, or analysis.
• Document AI-related processes, user guidance, limitations, and governance considerations.
• Spot opportunities to reduce manual reporting work and make recurring processes more repeatable.

Requirements

• Hands-on experience in data analytics, business intelligence, data applications, system integration, or a closely related role.
• Solid skills working with relational databases — joins, aggregations, validation queries, troubleshooting, and source-to-target reconciliation.
• Working experience with a modern BI / dashboarding tool — report development, basic data modeling, filters, measures, and testing.
• Exposure to cloud data platforms, data warehouses, lakehouses, or modern data environments.
• Strong spreadsheet skills, including reconciling data across multiple sources.
• Ability to translate business requirements into clear data, reporting, or application tasks.
• Strong attention to detail and willingness to investigate data discrepancies independently.
• Comfort working between technical teams and non-technical business users.
• Strong written communication, documentation, organization, and follow-through.
• Basic scripting experience for data processing, validation, or automation.
• Experience working with operational and financial systems used in commercial real estate.
• Exposure to APIs, file-based ingestion, data migration, or system integration projects.
• Familiarity with data governance, access control, row-level security, semantic models, or data quality frameworks.
• Genuine interest in AI, automation, large language models, and practical business applications.
• Experience with budget ownership, forecasting, procurement, and vendor management for end-user technology.
• Prior experience supporting executive users and office-based workplaces.

Qualifications

• Hands-on experience in data analytics, business intelligence, data applications, system integration, or a closely related role.
• Solid skills working with relational databases — joins, aggregations, validation queries, troubleshooting, and source-to-target reconciliation.
• Working experience with a modern BI / dashboarding tool — report development, basic data modeling, filters, measures, and testing.
• Exposure to cloud data platforms, data warehouses, lakehouses, or modern data environments.
• Strong spreadsheet skills, including reconciling data across multiple sources.
• Ability to translate business requirements into clear data, reporting, or application tasks.
• Strong attention to detail and willingness to investigate data discrepancies independently.
• Comfort working between technical teams and non-technical business users.
• Strong written communication, documentation, organization, and follow-through.
• Basic scripting experience for data processing, validation, or automation.
• Experience working with operational and financial systems used in commercial real estate.
• Exposure to APIs, file-based ingestion, data migration, or system integration projects.
• Familiarity with data governance, access control, row-level security, semantic models, or data quality frameworks.
• Genuine interest in AI, automation, large language models, and practical business applications.
• Experience with budget ownership, forecasting, procurement, and vendor management for end-user technology.
• Prior experience supporting executive users and office-based workplaces.