Sr. Business Systems Analyst

XL Construction•Milpitas, CA

2d•Onsite

About The Position

The Senior Enterprise Systems Analyst serves as the strategic bridge between business operations and enterprise technology. This role is responsible for ensuring software applications are designed, configured, and governed to support scalable business processes, high-quality data, enterprise reporting, and future AI initiatives. Rather than owning a single application, this position establishes enterprise standards that ensure systems across the organization work together to produce reliable, trusted, and actionable information. This role partners with business leaders, IT, software administrators, data engineering, and analytics teams to continuously improve how the organization captures, manages, integrates, and leverages information.

Requirements

Bachelor's degree in Information Systems, Computer Science, Engineering, Business, or related field
7+ years supporting enterprise business applications
Experience with enterprise software implementations
Strong understanding of relational databases and SQL
Experience with business process analysis
Knowledge of data governance principles
Experience working with enterprise reporting platforms
Strong communication and stakeholder management skills

Nice To Haves

Microsoft Fabric
Power Platform
Power BI
Azure
ERP systems
Procore
Primavera P6
Viewpoint Vista
Microsoft Dynamics
SAP
Oracle
Salesforce
ServiceNow
Enterprise Architecture
Master Data Management
Data Warehousing
Kimball Modeling
AI Governance
Information Management

Responsibilities

Lead enterprise system design reviews before implementation
Ensure new applications align with enterprise architecture standards
Establish governance standards for application configuration
Evaluate software requests to reduce unnecessary technology proliferation
Maintain enterprise application inventory and technology roadmap
Support the organization's Strengthen Data Foundations initiative by improving how information is captured, stored, integrated, and governed.
Defining enterprise data standards
Standardizing master data and value lists
Designing scalable system configurations
Eliminating duplicate or conflicting data
Improving reporting readiness
Supporting enterprise semantic models
Ensuring systems are AI-ready through consistent, structured data
Partner with business leaders to understand operational requirements
Document business processes and future-state workflows
Translate business needs into system requirements
Identify automation opportunities
Recommend technology improvements that reduce manual effort
Develop standards for Naming conventions, Value lists, Metadata, Security roles, Organizational hierarchies, Status definitions, Workflow configuration, Reference data, Reporting structures
Ensure every implementation supports enterprise reporting and downstream analytics.
Collaborate with Data Engineering and Business Intelligence teams to ensure enterprise systems produce trusted data, minimize manual transformations, support self-service reporting, improve dashboard adoption, and reduce reporting complexity.
Work across enterprise applications including ERP, Financial Systems, HR Systems, Project Management, CRM, Operational Systems, and Construction Management Platforms.
Mapping data flows
Defining system ownership
Identifying systems of record
Supporting API integrations
Reducing duplicate information
Prepare enterprise systems for AI adoption by improving data quality, standardizing business definitions, supporting enterprise metadata, creating reusable data structures, reducing unstructured business processes, and identifying opportunities for intelligent automation.
Lead cross-functional workshops
Influence enterprise technology decisions
Mentor junior analysts
Develop enterprise standards
Present recommendations to executive leadership
Serve as trusted advisor to software owners