Sr. Business Systems Analyst

XL Construction

Milpitas (CA)

On-site

USD 120,000 - 180,000

Full time

14 days+
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Job summary

XL Industries Inc is seeking a Senior Enterprise Systems Analyst to bridge business operations and technology, ensuring scalable processes, reliable data, and enterprise reporting. The role coordinates across IT, data engineering, analytics, and business teams to govern, design, and optimize enterprise platforms.

The candidate will establish enterprise standards, drive data governance, and prepare systems for AI-ready analytics while partnering with executives to advance the organization9;s

Qualifications

  • Bachelor's degree required in Information Systems, CS, Engineering, Business or related field.
  • 7+ years supporting enterprise business applications.
  • Experience with enterprise software implementations.
  • Experience with enterprise reporting platforms.
  • Knowledge of data governance principles.
  • Strong communication and stakeholder management skills.

Responsibilities

  • Lead enterprise system design reviews before implementation.
  • Establish governance standards for application configuration.
  • Define enterprise data standards and standardized master data.
  • Design scalable system configurations and metadata management.
  • Map data flows and define system ownership across ERP/financial systems/CRM.
  • Prepare enterprise systems for AI adoption with data quality improvements.

Skills

Strong communication and stakeholdera
Relational databases & SQL
Experience with enterprise software
Business process analysis
Data governance principles

Education

Bachelor's degree in Information Systems, Computer Science, Engineering, Business, or related field

Tools

Power BI
Azure
SAP
Oracle
Salesforce
ServiceNow

Job description

  • Lead enterprise system design reviews before implementation
Description

Position at XL Industries Inc

Position Summary

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.

Please note: This an On-site position not a Remote role.

Primary Responsibilities
Enterprise System Governance
  • 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
Data Foundation & Information Architecture

Support the organization's Strengthen Data Foundations initiative by improving how information is captured, stored, integrated, and governed.

Responsibilities Include:
  • 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
Business Process Analysis
  • 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
System Configuration & Standards
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.

Reporting & Analytics Enablement
  • Produce trusted data
  • Minimize manual transformations
  • Support self-service reporting
  • Improve dashboard adoption
  • Reduce reporting complexity
Integration & Enterprise Architecture
Work Across Enterprise Applications Including:
  • ERP
  • Financial Systems
  • HR Systems
  • Project Management
  • CRM
  • Operational Systems
  • Construction Management Platforms
Responsibilities Include:
  • Mapping data flows
  • Defining system ownership
  • Identifying systems of record
  • Supporting API integrations
  • Reducing duplicate information
AI & Digital Transformation
Prepare Enterprise Systems For AI Adoption By:
  • Improving data quality
  • Standardizing business definitions
  • Supporting enterprise metadata
  • Creating reusable data structures
  • Reducing unstructured business processes
  • Identifying opportunities for intelligent automation
Leadership Responsibilities
  • 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
Required Qualifications
  • 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
Preferred Qualifications
Experience with one or more:
  • Microsoft Fabric
  • Power Platform
  • Power BI
  • Azure
  • ERP systems
  • Procore
  • Primavera P6
  • Viewpoint Vista
  • Microsoft Dynamics
  • SAP
  • Oracle
  • Salesforce
  • ServiceNow
Knowledge Of:
  • Enterprise Architecture
  • Master Data Management
  • Data Warehousing
  • Kimball Modeling
  • AI Governance
  • Information Management
Success Measures

The successful candidate will help the organization achieve measurable improvements in:

  • Enterprise data quality
  • System standardization
  • Reporting accuracy
  • Self-service analytics adoption
  • Reduction in duplicate applications
  • Faster software implementations
  • Reduced manual data transformation
  • Improved process automation
  • AI readiness
  • Enterprise governance maturity
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